https://wiki.openmod-initiative.org/api.php?action=feedcontributions&feedformat=atom&user=Fabian+Neumannwiki.openmod-initiative.org - User contributions [en]2026-05-25T13:54:57ZUser contributionsMediaWiki 1.19.7https://wiki.openmod-initiative.org/wiki/Learning_materialsLearning materials2023-02-20T11:56:54Z<p>Fabian Neumann: </p>
<hr />
<div><br />
A list of openly-available, preferably openly-licensed learning materials. Please add information on the materials and licence.<br/><br />
<br />
*[[CapacityExpansion|CapacityExpansion]] by Patricia Levi & Lucas Elias Kuepper at Stanford University (2019, Homework in 'MS&E 394: Advanced Methods in Modeling for Climate and Energy Policy')<br />
*[https://data.ene.iiasa.ac.at/teaching/ Open Energy System Modeling]&nbsp;by Daniel Huppmann at IIASA for TU Wien (2020, 7 lectures with slides and videos, CC-BY 4.0)<br/><br />
*[https://ap-rg.eu/courses/operations-research-linma-2491/ Operations Research] by Anthony Papavasiliou (2020, 18 lectures with slides and videos, unknown licence)<br/><br />
*[https://ap-rg.eu/courses/quantitative-energy-economics-linma-2415/ Quantitative Energy Economics] by Anthony Papavasiliou (14 lectures with slides and videos, unknown licence)<br/><br />
*[https://www.youtube.com/watch?v=gB43TmcoUpA Convex Relaxations in Power System Optimization] by Carleton Coffrin and Line Roald at Los Alamos National Laboratory (2018, 8 lectures with videos, unknown licence)<br />
*[http://www.open-electricity-economics.org/book/text/OEE.html Open Electricity Economics] collaborative material edited by Lion Hirth and Tarun Khanna of the Hertie School of Governance (20xx, online textbook, under construction, intended CC licence)<br/><br />
*[https://online-learning.tudelft.nl/courses/energy-markets-of-today/ Energy Markets of Today]&nbsp;by Rudi Hakvoort and Laurens de Vries at TU Delft (2020, edX, material available on enrollment under CC-BY-NC-SA?)<br/><br />
*[https://ocw.tudelft.nl/courses/electricity-gas-market-design-policy-issues/ Electricity and Gas: Market Design and Policy Issues] coordinated by Laurens de Vries at TU Delft (2020, OpenCourseWare, slides and videos under CC-BY-NC-SA)<br/><br />
*[https://nworbmot.org/courses/esm-2020/ Energy System Modelling]&nbsp;by Tom Brown at KIT (2020, 15 lectures with slides, videos and Python coding examples, CC-BY 4.0)<br/><br />
*[https://zhangbaosen.github.io/teaching/EE553 Power System Economics]&nbsp;by&nbsp;Baosen Zhang at the University of Washington (2017, 11 lectures with slides and Julia coding examples, unknown licence)<br/><br />
*[https://energy-markets-school.dk/ DTU Summer Schools on Energy Markets and Optimization] by many different lecturers (2016-2019, many lecture slides online from previous schools)<br/><br />
*[https://labs.ece.uw.edu/real/videos.html Power System Economics] by Daniel Kirschen (2013, dozens of videos, unknown licence)<br />
*[http://switch-model.org/ Switch home page] by Switch authors (2015–18, open-access paper, tutorial and examples for Switch capacity planning model for high-renewable power systems)<br/><br />
*[https://www.youtube.com/channel/UCphLz_BXrOAInHozAlTsigA CO@Work Summer School] on Combinatorial Optimization by TU Berlin, Berlin Mathematical School and MATH+ (Youtube Channel, Sep. 2020, Details see [http://co-at-work.zib.de/ Website], unknown license)<br />
*[https://www.youtube.com/channel/UCkB5IF4MMU7lts-VEQzEFdw Renewables in Electricity Markets] by Pierre Pinson, DTU (youtube lectures)<br/><br />
*<span dir="auto" class="style-scope yt-formatted-string">[https://www.youtube.com/channel/UCjd5aXdCYzHC6GJvt4XONjQ/videos Advanced Optimization and Game Theory for Energy Systems] by Jalal Kazempour, DTU (youtube lectures)</span><br/><br />
*[https://github.com/east-winds/power-systems-optimization Power System Optimization] by Jesse Jenkins (Princeton) and Michael Davidson (UC San Diego) (2020, Julia/JuMP notebooks and examples, under construction, CC-BY 4.0)<br/><br />
*[http://www.osemosys.org/understanding-the-energy-system.html Understanding the Energy System] by OSeMOSYS Team (lecture slides, CC-BY 4.0)<br />
*[https://www.youtube.com/watch?v=U9Z4GE_l9mQ&list=PLY5NLA2BTufKU_wDSp-JzP6dhpzwsg1Xx OSeMOSYS Video Lectures] by OSeMOSYS Team (videos, CC-BY 4.0)<br />
*[https://users.ece.utexas.edu/~baldick/ Optimization of Engineering Systems] by Ross Baldick of University of Texas at Austin (2018, lecture slides, unknown licence)<br />
*[https://overbye.engr.tamu.edu/course-2/ecen615fa2018/ Methods of Electric Power System Analysis] by Tom Overbye of Texas A&M (2018, 27 lecture slides, PowerWorld examples, unknown licence)<br />
*[https://overbye.engr.tamu.edu/course-2/ecen460fa2017/ Power System Operation & Control] by Tom Overbye of Texas A&M (2017, 25 lecture slides, unknown licence)<br />
*[https://www.wecc.org/TrainingAndEducation/Pages/default.aspx WECC Training and Education] by Western Electricity Coordinating Council (diverse slides and videos, unknown licence)<br />
*[https://github.com/Irieo/EnergySystemsModelling-course Energy Systems Modelling] by Felix M<span style="font-size: 13.6px">üsgens and Iegor Riepin, BTU Germany (lecture & turorials slides, GAMS coding examples,&nbsp;<span style="background-color: rgb(255, 255, 255)">CC-BY-SA 4.0)</span></span><br />
*[https://cusp.umn.edu/courses Courses on Power Electronics, Electric Machines and Drives, Power systems & Renewable Energy] from the Consortium of Universities for Sustainable Power (lecture slides and videos, licence unknown)<br />
*[https://pserc.wisc.edu/webinars.aspx PSERC Webinars] (2011-2020, with slides and videos, licence unknown)<br />
*[https://mycourses.aalto.fi/course/view.php?id=3600&section=5 Energy and Environmental Economics] from Aalto University (2016, lecture slides, licence unknown)<br />
*[https://gradesfixer.com/blog/stem-grants-and-scholarship/ Energy Decisions, Markets, and Policies] by Richard Schmalensee at MIT (2012, 22 video lectures, licence unknown)<br />
*[https://www.youtube.com/playlist?list=PL30deB-5iwLKxkJyTvF4Mks9NG1wbATTz Energy Conversion and Renewable Energy] by Fraincois Marechal and Stefano Moret of EPFL (2018, 23 videos, licence unknown)<br />
*[http://summit.sfu.ca/item/20738 Introduction to Energy Modelling Course Pack] by Taco Niet and Kamaria Kuling at SFU (2020, online textbook, creative commons license)<br />
*[https://github.com/lhofbauer/outreach_course Energy modelling outreach course] by Leonhard Hofbauer at UCL (2022, handbook, spreadsheet models, CC-BY 4.0)<br />
*[https://fneum.github.io/data-science-for-esm/intro.html Data Science for Energy System Modelling] by Fabian Neumann at TU Berlin (2022/23, Jupyter Book)</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Learning_materialsLearning materials2023-02-20T11:56:01Z<p>Fabian Neumann: </p>
<hr />
<div><br />
A list of openly-available, preferably openly-licensed learning materials. Please add information on the materials and licence.<br/><br />
<br />
*[[CapacityExpansion|CapacityExpansion]] by Patricia Levi & Lucas Elias Kuepper at Stanford University (2019, Homework in 'MS&E 394: Advanced Methods in Modeling for Climate and Energy Policy')<br />
*[https://data.ene.iiasa.ac.at/teaching/ Open Energy System Modeling]&nbsp;by Daniel Huppmann at IIASA for TU Wien (2020, 7 lectures with slides and videos, CC-BY 4.0)<br/><br />
*[https://ap-rg.eu/courses/operations-research-linma-2491/ Operations Research] by Anthony Papavasiliou (2020, 18 lectures with slides and videos, unknown licence)<br/><br />
*[https://ap-rg.eu/courses/quantitative-energy-economics-linma-2415/ Quantitative Energy Economics] by Anthony Papavasiliou (14 lectures with slides and videos, unknown licence)<br/><br />
*[https://www.youtube.com/watch?v=gB43TmcoUpA Convex Relaxations in Power System Optimization] by Carleton Coffrin and Line Roald at Los Alamos National Laboratory (2018, 8 lectures with videos, unknown licence)<br />
*[http://www.open-electricity-economics.org/book/text/OEE.html Open Electricity Economics] collaborative material edited by Lion Hirth and Tarun Khanna of the Hertie School of Governance (20xx, online textbook, under construction, intended CC licence)<br/><br />
*[https://online-learning.tudelft.nl/courses/energy-markets-of-today/ Energy Markets of Today]&nbsp;by Rudi Hakvoort and Laurens de Vries at TU Delft (2020, edX, material available on enrollment under CC-BY-NC-SA?)<br/><br />
*[https://ocw.tudelft.nl/courses/electricity-gas-market-design-policy-issues/ Electricity and Gas: Market Design and Policy Issues] coordinated by Laurens de Vries at TU Delft (2020, OpenCourseWare, slides and videos under CC-BY-NC-SA)<br/><br />
*[https://nworbmot.org/courses/esm-2020/ Energy System Modelling]&nbsp;by Tom Brown at KIT (2020, 15 lectures with slides, videos and Python coding examples, CC-BY 4.0)<br/><br />
*[https://zhangbaosen.github.io/teaching/EE553 Power System Economics]&nbsp;by&nbsp;Baosen Zhang at the University of Washington (2017, 11 lectures with slides and Julia coding examples, unknown licence)<br/><br />
*[https://energy-markets-school.dk/ DTU Summer Schools on Energy Markets and Optimization] by many different lecturers (2016-2019, many lecture slides online from previous schools)<br/><br />
*[https://labs.ece.uw.edu/real/videos.html Power System Economics] by Daniel Kirschen (2013, dozens of videos, unknown licence)<br />
*[http://switch-model.org/ Switch home page] by Switch authors (2015–18, open-access paper, tutorial and examples for Switch capacity planning model for high-renewable power systems)<br/><br />
*[https://www.youtube.com/channel/UCphLz_BXrOAInHozAlTsigA CO@Work Summer School] on Combinatorial Optimization by TU Berlin, Berlin Mathematical School and MATH+ (Youtube Channel, Sep. 2020, Details see [http://co-at-work.zib.de/ Website], unknown license)<br />
*[https://www.youtube.com/channel/UCkB5IF4MMU7lts-VEQzEFdw Renewables in Electricity Markets] by Pierre Pinson, DTU (youtube lectures)<br/><br />
*<span dir="auto" class="style-scope yt-formatted-string">[https://www.youtube.com/channel/UCjd5aXdCYzHC6GJvt4XONjQ/videos Advanced Optimization and Game Theory for Energy Systems] by Jalal Kazempour, DTU (youtube lectures)</span><br/><br />
*[https://github.com/east-winds/power-systems-optimization Power System Optimization] by Jesse Jenkins (Princeton) and Michael Davidson (UC San Diego) (2020, Julia/JuMP notebooks and examples, under construction, CC-BY 4.0)<br/><br />
*[http://www.osemosys.org/understanding-the-energy-system.html Understanding the Energy System] by OSeMOSYS Team (lecture slides, CC-BY 4.0)<br />
*[https://www.youtube.com/watch?v=U9Z4GE_l9mQ&list=PLY5NLA2BTufKU_wDSp-JzP6dhpzwsg1Xx OSeMOSYS Video Lectures] by OSeMOSYS Team (videos, CC-BY 4.0)<br />
*[https://users.ece.utexas.edu/~baldick/ Optimization of Engineering Systems] by Ross Baldick of University of Texas at Austin (2018, lecture slides, unknown licence)<br />
*[https://overbye.engr.tamu.edu/course-2/ecen615fa2018/ Methods of Electric Power System Analysis] by Tom Overbye of Texas A&M (2018, 27 lecture slides, PowerWorld examples, unknown licence)<br />
*[https://overbye.engr.tamu.edu/course-2/ecen460fa2017/ Power System Operation & Control] by Tom Overbye of Texas A&M (2017, 25 lecture slides, unknown licence)<br />
*[https://www.wecc.org/TrainingAndEducation/Pages/default.aspx WECC Training and Education] by Western Electricity Coordinating Council (diverse slides and videos, unknown licence)<br />
*[https://github.com/Irieo/EnergySystemsModelling-course Energy Systems Modelling] by Felix M<span style="font-size: 13.6px">üsgens and Iegor Riepin, BTU Germany (lecture & turorials slides, GAMS coding examples,&nbsp;<span style="background-color: rgb(255, 255, 255)">CC-BY-SA 4.0)</span></span><br />
*[https://cusp.umn.edu/courses Courses on Power Electronics, Electric Machines and Drives, Power systems & Renewable Energy] from the Consortium of Universities for Sustainable Power (lecture slides and videos, licence unknown)<br />
*[https://pserc.wisc.edu/webinars.aspx PSERC Webinars] (2011-2020, with slides and videos, licence unknown)<br />
*[https://mycourses.aalto.fi/course/view.php?id=3600&section=5 Energy and Environmental Economics] from Aalto University (2016, lecture slides, licence unknown)<br />
*[https://gradesfixer.com/blog/stem-grants-and-scholarship/ Energy Decisions, Markets, and Policies] by Richard Schmalensee at MIT (2012, 22 video lectures, licence unknown)<br />
*[https://www.youtube.com/playlist?list=PL30deB-5iwLKxkJyTvF4Mks9NG1wbATTz Energy Conversion and Renewable Energy] by Fraincois Marechal and Stefano Moret of EPFL (2018, 23 videos, licence unknown)<br />
*[http://summit.sfu.ca/item/20738 Introduction to Energy Modelling Course Pack] by Taco Niet and Kamaria Kuling at SFU (2020, online textbook, creative commons license)<br />
*[https://github.com/lhofbauer/outreach_course Energy modelling outreach course] by Leonhard Hofbauer at UCL (2022, handbook, spreadsheet models, CC-BY 4.0)<br />
*[Data Science for Energy System Modelling](https://fneum.github.io/data-science-for-esm/intro.html) by Fabian Neumann at TU Berlin (2022/23, Jupyter Book)</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Transmission_network_datasetsTransmission network datasets2020-01-24T13:08:27Z<p>Fabian Neumann: /* Europe */</p>
<hr />
<div><br />
= Network datasets by region<br/> =<br />
<br />
<br />
<br />
== Europe<br/> ==<br />
<br />
{| style="width:100%" class="wikitable sortable" cellspacing="1" cellpadding="1" border="1"<br />
|-<br />
! Name<br />
! Version<br />
! <br />
Year<br/><br />
<br />
Published<br />
<br />
! Represented year<br />
! Region<br />
! Num. Substations or Buses<br />
! Num. Lines<br />
! Contains<br />
! Direct download?<br />
! Licence<br />
! Format<br />
|-<br />
| [http://scigrid.de/ SciGRID]<br />
| 0.2<br />
| 2015<br />
| 2015<br/><br />
| Germany, but in principle whole world<br />
| 495<br />
| 825<br />
| Topology, Impedances<br />
| Yes<br />
| Apache Licence, Version 2.0 (code, documentation). ODBL (data)<br/><br />
| CSV (csvdata)<br />
|-<br />
| [http://www.powerworld.com/knowledge-base/updated-and-validated-power-flow-model-of-the-main-continental-european-transmission-network Bialek European Model]<br />
| 2<br />
| 2013<br />
| 2009<br />
| Continental Europe<br />
| 1494 buses<br />
| 2322<br />
| Topology, Impedances, Loads, Generators<br />
| Yes<br />
| Public Domain Dedication<br />
| PowerWorld, Excel<br />
|-<br />
| [http://www2.nationalgrid.com/UK/Industry-information/Future-of-Energy/Electricity-Ten-Year-Statement/ National Grid ETYS 2014 Model]<br />
| <br/><br />
| 2014<br />
| 2014<br />
| Great Britain<br />
| 365<br />
| 316<br />
| Topology, Impedances, Loads, Generators<br/><br />
| Yes<br />
| Unclear<br />
| <br/><br />
|-<br />
| [https://www.apg.at/en/Stromnetz/APG-Netz Austrian Power Network Grid]<br/><br />
| <br/><br />
| 2015<br />
| 2015<br />
| Austria<br />
| <br/><br />
| ~100<br />
| Topology, Impedances<br />
| Yes<br />
| Unclear<br />
| PDF<br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 1<br />
| 2015 and before<br />
| 2020?<br />
| Continental Europe?<br />
| 1000s<br />
| 1000s<br />
| Topology, Impedances<br />
| Requires registration<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span><br />
| CIM<br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 2<br />
| 2015<br />
| 2030<br />
| GB, Ireland, Baltics, Finland, Continental Europe<br />
| 1000s<br />
| 1000s<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span><br />
| Excel<br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 3<br />
| 2016<br />
| 2030<br/><br />
| GB, Ireland, Baltics, Finland, Continental Europe<br />
| 1000s<br />
| 1000s<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/><br />
| Restrictive<br/><br />
| Excel<br/><br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 2<br />
| 2015<br />
| 2030<br />
| GB, Ireland, Baltics, Finland, Continental Europe<br />
| 1000s<br />
| 1000s<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span><br />
| Excel<br />
|-<br />
| [https://doi.org/10.5281/zenodo.3601881 PyPSA-Eur]<br />
| 0.1.0<br />
| 2020<br/><br />
| 2020<br/><br />
| GB, Ireland, Baltics, Scandinavia, Continental Europe<br/><br />
| 5000<br/><br />
| 6000<br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances, Loads, Generators, Renewable Availability Time Series</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Yes</span><br/><br />
| CC BY 4.0 (Dataset), GNU GPL v3.0 (Code)<br />
| NetCDF, CSV (alternative)<br />
|}<br />
<br />
<br/><br />
<br />
=== SciGRID ===<br />
<br />
[http://scigrid.de/ SciGRID] is a project which started in 2014 and will be running for three years. The aim of SciGRID is to develop an open and free model of the European transmission network based on data from the [http://www.openstreetmap.org/ OpenStreetMap]. It is carried out by [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], an independent non-profit institute at the University of Oldenburg, Germany, and funded by the [https://www.bmbf.de/ German Ministry of Education and Research],&nbsp; and the initiative [http://forschung-stromnetze.info/ Zukunftsfähige Stromnetze].<br />
<br />
An unofficial, post-processed version of SciGRID version 0.2 for Germany with attached load, generation and transformers is available as a [https://github.com/FRESNA/PyPSA/tree/master/examples/scigrid-de PyPSA example], see also [http://pypsa.org/index.html#screenshots-and-example-jupyter-ipython-notebooks screenshots].<br/><br />
<br />
=== GridKit European Dataset ===<br />
<br />
[https://github.com/bdw/GridKit GridKit] uses spatial and topological analysis to transform map objects from [http://www.openstreetmap.org/ OpenStreetMap] into a network model of the electric power system. It has been developed in the context of the [http://scigrid.de/ SciGRID] project at the [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in [http://scigrid.de/ SciGRID]. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.<br />
<br />
[https://zenodo.org/record/47317 Data extracts] are provided for Europe and North America in a similar CSV format to [http://scigrid.de/ SciGRID].<br />
<br />
=== osmTGmod Model<br/> ===<br />
<br />
[https://github.com/maltesc/osmTGmod osmTGmod] is a load-flow model of the German transmission-gird, based on the free geo-database [http://www.openstreetmap.org/ OpenStreetMap] (OSM). The model, respectively the heuristic abstraction process employs a PostgreSQL-database extended by PostGIS. The key part of the abstraction process is implemented in SQL and ProstgreSQL's procedural language pl/pgSQL. The abstraction and all additional modules are controlled by a Python-environment.<br />
<br />
=== Bialek European Model<br/> ===<br />
<br />
The 2nd version of the [http://www.powerworld.com/knowledge-base/updated-and-validated-power-flow-model-of-the-main-continental-european-transmission-network Bialek European Model] is downloadable as an Excel file and in the format of the proprietary modelling software [http://www.powerworld.com/ PowerWorld]. The model covers voltages from 110 kV (a single line in the Balkans) up to 380 kV. It is released under a Public Domain Dedication.<br/><br />
<br />
The 1st version was released in 2002-2004 and is no longer available (see [http://web.archive.org/web/20100525115039/http://www.see.ed.ac.uk/~jbialek/Europe_load_flow/ Archive mirror]). The 1st version did not contain the Balkans region.<br />
<br />
The methodology and validation for the 1st version of the model can be found in the paper [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1425573 Approximate model of European interconnected system as a benchmark system to study effects of cross-border trades] by Zhou and Bialek, 2005.<br />
<br />
The model contains the impedances and number of circuits of each line, but not the length (which can in principle be determined from the impedance and number of circuits, given standard line parameters). Only cross-border lines are assigned thermal capacities.<br />
<br />
There is currently no coordinate dataset for the buses. The PowerWorld file contains spatial data, but in an unknown projection. The [https://github.com/nworbmot/georef-bialek/ georef-bialek github project] is an attempt to fix this; there is also a [https://zenodo.org/record/35177 geo-referenced version] from Tue Vissing Jensen.<br />
<br />
=== DIW ELMOD-DE open model of Germany ===<br />
<br />
[http://www.diw.de/de/diw_01.c.528493.de/forschung_beratung/nachhaltigkeit/umwelt/verkehr/energie/modelle/elmod.html#ELMOD-DE ELMOD-DE] is an open model of the German electricity system developed at DIW and TU Berlin, which includes both a model of the high voltage transmission network, power plants, hourly load and weather data for the year 2012 and GAMS code to run linear optimisation simulations. It contains 438 geo-referenced network nodes and 697 transmission lines at 380 kV and 220 kV. Transformers are not modelled but per unit line series impedances are adjusted to the voltage level.<br />
<br />
The model includes 47 pages of documentation.<br />
<br />
The transmission data was, according to the documentation, derived from the VDE and TSO maps and from [http://www.openstreetmap.org/ OpenStreetMap]. The data is provided as-is without the code that generated it.<br />
<br />
=== National Grid Model ===<br />
<br />
[http://www2.nationalgrid.com/UK/Industry-information/Future-of-Energy/Electricity-Ten-Year-Statement/ National Grid Electricity Ten Year Statement 2014 Model]<br />
<br />
Shapefiles and maps of tower, lines, cables and substations [https://www.nationalgridet.com/network-and-assets/network-route-maps here].<br/><br />
<br />
=== Austrian Power Network Grid Model<br/> ===<br />
<br />
[https://www.apg.at/en/Stromnetz/APG-Netz Austrian Power Network Grid]<br/><br />
<br />
<br/><br />
<br />
=== Danish Power Network Grid Model<br/> ===<br />
<br />
[https://en.energinet.dk/Electricity/Energy-data/System-data Danish Transmission network data]<br />
<br />
The data are not directly available, but rather a [https://en.energinet.dk/About-us/Registrations/Formular056 registration form] is required before obtaining access.<br />
<br />
It has features not present in the ENTSO-E STUM (see below):<br />
<br />
*It's a full non-linear model with all the reactive power demand, P and Q capabilities of gens and shunt reactive power compensation.<br />
*It lists the power capabilities of the generators and their fuel type (wind/solar/gas etc), not just the dispatch.<br />
*They seem to have separated RE feed-in from the load, which wasn't the case for STUM where wind and solar are lumped with the load as residual load.<br />
<br />
What's missing are geocoordinates for the substations (which can be read off roughly from the JPG map) and time-dependence of the loads and/or variable generators. For Denmark, which has many CHP units, it would also be useful to know the heat demand and how the CHP units are operated.<br />
<br />
<br/><br />
<br />
=== RTE Network Dataset for France<br/> ===<br />
<br />
[https://clients.rte-france.com/lang/an/visiteurs/vie/indispos_caracteristiques_statiques.jsp RTE network dataset]<br />
<br />
=== Elia Network Dataset for Belgium ===<br />
<br />
[http://www.elia.be/en/grid-data/Grid-Technical-Data Elia network dataset]<br />
<br />
=== TenneT NL Network Dataset for the Netherlands<br/> ===<br />
<br />
[http://www.tennet.org/english/operational_management/transmission_services/Calculated_crossborder_cap/explanatory_documents.aspx TenneT NL]<br />
<br />
=== TenneT DE Network Dataset for Central Germany<br/> ===<br />
<br />
[http://www.tennettso.de/site/Transparenz/veroeffentlichungen/statisches-netzmodell/statisches-netzmodell Tennet DE]<br/><br />
<br />
=== Amprion Network Dataset for Western Germany<br/> ===<br />
<br />
[https://www.amprion.net/Energy-Market/Congestion-Management/Static-Grid-Model/ Amprion], [https://www.amprion.net/Netzausbau/Interaktive-Karte/ interactive map] of the grid extension projects<br/><br />
<br />
=== TransnetBW Network Dataset for Southwest Germany<br/> ===<br />
<br />
[https://www.transnetbw.de/de/strommarkt/engpassmanagement/standards-zukunft TransnetBW]<br/><br />
<br />
=== 50 Hertz Network Dataset for Eastern Germany<br/> ===<br />
<br />
[https://www.50hertz.com/de/Transparenz/Kennzahlen/StatischesNetzmodell 50 Hertz statistisches Netz]<br/><br />
<br />
<br/><br />
<br />
=== Ceps Network Dataset for <span lang="EN-GB">Czec</span>h Republic<br/> ===<br />
<br />
[https://www.ceps.cz/ENG/Cinnosti/Technicka-infrastruktura/Pages/Udaje-o-PS.aspx CEPS]<br/><br />
<br />
=== ENTSO-E Interactive Grid Map ===<br />
<br />
ENTSO-E announced its [https://www.entsoe.eu/map/Pages/default.aspx Interactive ENTSO-E Transmission Network Map] in March 2016.<br />
<br />
The map uses [http://www.openstreetmap.org/ OpenStreetMap] as a background and [https://www.mapbox.com/about/maps/ Mapbox] for displaying the map data.<br />
<br />
The map is based on the ENTSO-E static grid map, which is based on the TSOs' own maps. It is known to be an approximate artistic representation rather than an accurate geographical map. Some power plants may be incorrectly labelled (e.g. fuel type may not be accurate).<br />
<br />
The map includes information on the number of circuits and the voltage levels of transmission lines.<br />
<br />
Information, including all geographical coordinates, can be extracted from the web API, but requires further topological processing to be turned into an electrical network model. Lines need to be connected, etc. The [https://github.com/bdw/GridKit GridKit] project provides code for this purpose and has released an [https://zenodo.org/record/55853 unofficial dataset], which forms an electrical network model complete with buses, links, generators and transformers, full geographic coordinates, as well as all electrical metadata contained in the ENTSO-E map.<br />
<br />
=== ENTSO-E Static Grid Map ===<br />
<br />
ENTSO-E releases [https://www.entsoe.eu/publications/order-maps-and-publications/electronic-grid-maps/Pages/default.aspx maps of the European transmission grid], both electronically and in paper form.<br />
<br />
The maps for the whole ENTSO-E system are in the projection [http://prj2epsg.org/epsg/3034 EPSG 3034], which is a [https://en.wikipedia.org/wiki/Lambert_conformal_conic_projection Lambert Conformal Conic projection]. The lower left corner is approximately at (lon,lat) = (-9.5,28) and the upper left corner is at (75.5,58.5). This was checked in the [https://github.com/nworbmot/georef-bialek/ georef-bialek github project].<br />
<br />
=== ENTSO-E STUM ===<br />
<br />
ENTSO-E makes available a model of the European transmission system. Registration is required to download it on the [https://www.entsoe.eu/stum/ ENTSO-E STUM] page. It is not totally clear what one may and may not do with it (e.g. whether it is possible to publish results derived from it or an aggregation of the nodes, etc.).<br />
<br />
The first version of the model was released in the CIM XML-based format for the old UCTE area. The model was a winter snapshot for 2020, including TYNDP projects. The node names were obscured so that the model was unusable. Line capacities were missing.<br />
<br />
The second version, published in June 2015 as Excel spreadsheets, is more useful. It contains the whole ENTSO-E area with the exception of Norway, Sweden, Cyrus and Iceland. The node names are the same as those used by the TSOs. Quoting from the documentation: "It represents the power system of the ENTSO-E members for 2030 in Vision I of the TYNDP 2014", i.e. it includes planned TYNDP projects. It includes all nodes, lines, transformers and aggregated loads and generators at each node for one snapshot. Line data includes series reactance and resistance, but not line length or capacity or number of circuits or wires per circuit bundle. Geolocation data for the nodes is missing. Node names are recognisable from the substation names on the ENTSO-E map. The model is intended for a linear load flow only. It is not clear which wind/solar/load snapshot the model represents (it is an "exemplary scenario"). Generators are not distinguished by generation source.<br />
<br />
The third version, published in February 2016 as Excel spreadsheets has in addition thermal ratings for most transformers and most transmission lines, along with reactive power feed-in, consumption and compensation, so that a full non-linear power flow can be run on the grid.<br />
<br />
=== ENTSO-E Initial Dynamic Model of Continental Europe ===<br />
<br />
[https://www.entsoe.eu/publications/system-operations-reports/continental-europe/Initial-Dynamic-Model/Pages/default.aspx ENTSO-E Initial Dynamic Model of Continental Europe]<br />
<br />
Requires registration. Can model "the main frequency response of the system as well as the main inter-area oscillation modes".<br />
<br />
=== Flow-based market coupling data by Joint Allocation Office ===<br />
<br />
The joint allocation office hosts various official data (including [http://utilitytool.jao.eu/CascUtilityWebService.asmx?op=GetPTDFEarlyPublicationForAPeriod PTDFs]) around the Flow-based market coupling algorithm in use in Europe.<br />
<br />
[http://utilitytool.jao.eu/ http://utilitytool.jao.eu/]<br />
<br />
[http://utilitytool.jao.eu/CascUtilityWebService.asmx http://utilitytool.jao.eu/CascUtilityWebService.asmx]<br />
<br />
=== PyPSA-Eur: An Open Optimisation Model of the European Transmission System ===<br />
<br />
PyPSA-Eur is a model/dataset of the European power system at the transmission network level.<br />
<br />
The model covers the ENTSO-E area and contains all alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.<br />
<br />
The model only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets. The model is suitable both for operational studies and generation and transmission expansion planning studies.<br />
<br />
Current versions of the code and dataset can be found on zenodo:<br />
<br />
*[https://zenodo.org/record/3603127#.Xhcvdtl7m0I https://zenodo.org/record/3603127#.Xhcvdtl7m0I] (Code)<br />
*[https://zenodo.org/record/3601882#.XhcvqNl7m0J https://zenodo.org/record/3601882#.XhcvqNl7m0J] (Dataset)<br />
<br />
Documentation is available at [https://pypsa-eur.readthedocs.io https://pypsa-eur.readthedocs.io]<br />
<br />
Development takes place on Github at [https://github.com/pypsa/pypsa-eur https://github.com/pypsa/pypsa-eur]<br />
<br />
The netcdf files (.nc) can be imported with PyPSA. Documentation for this is available at [https://pypsa.readthedocs.io/en/latest/import_export.html#import-from-netcdf https://pypsa.readthedocs.io/en/latest/import_export.html#import-from-netcdf].<br />
<br />
Some basic validation is provided in a paper describing the dataset:<br />
<br />
Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. [https://arxiv.org/abs/1806.01613 https://arxiv.org/abs/1806.01613], [https://doi.org/10.1016/j.esr.2018.08.012 https://doi.org/10.1016/j.esr.2018.08.012].<br />
<br />
<br />
== Australia<br/> ==<br />
<br />
[https://data.gov.au/dataset/ds-ga-1185c97c-c042-be90-e053-12a3070a969b/details?q=national Lines] and [https://data.gov.au/dataset/ds-ga-13be62a4-4fe3-f812-e053-12a3070a22be/details?q=national substations]<br />
<br />
<br/><br />
<br />
== United States ==<br />
<br />
There is raster graphic of the US transmission grid at [https://www.e-education.psu.edu/geog469/book/export/html/111 https://www.e-education.psu.edu/geog469/book/export/html/111].<br />
<br />
=== Western Electricity Coordinating Council ===<br />
<br />
Apparently there is a a WECC Transmission Expansion Planning Policy Committee (TEPPC) 2024 Common Case GridView dataset, but the exact link seems elusive.<br />
<br />
The WECC [https://www.wecc.biz/TransmissionExpansionPlanning/Pages/Datasets.aspx Transmission Expansion Planning] has links to Excel files.<br />
<br />
=== Western US Power Grid ===<br />
<br />
The [http://nexus.igraph.org/api/dataset_info?id=15&format=html Western US Power Grid dataset] has 4941 nodes and 6594 lines, but apparently these are not well enough labelled to distinguish where and what the nodes/lines are.<br/><br />
<br />
=== GridKit North American Dataset ===<br />
<br />
[https://github.com/bdw/GridKit GridKit] uses spatial and topological analysis to transform map objects from [http://www.openstreetmap.org/ OpenStreetMap] into a network model of the electric power system. It has been developed in the context of the [http://scigrid.de/ SciGRID] project at the [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in [http://scigrid.de/ SciGRID]. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.<br />
<br />
[https://zenodo.org/record/47317 Data extracts] are provided for Europe and North America in a similar CSV format to [http://scigrid.de/ SciGRID].<br />
<br />
== Global ==<br />
<br />
=== OpenStreetMap ===<br />
<br />
The global OpenStreetMap (OSM) power grid data is visible at [http://www.itoworld.com/map/4 ITO World Electricity Distribution] and [http://enipedia.tudelft.nl/ Enipedia] has [http://enipedia.tudelft.nl/OpenStreetMap/ nightly extracts of the power grid from OSM].<br />
<br />
=== GridKit Datasets ===<br />
<br />
[https://github.com/bdw/GridKit GridKit] uses spatial and topological analysis to transform map objects from [http://www.openstreetmap.org/ OpenStreetMap] into a network model of the electric power system. It has been developed in the context of the [http://scigrid.de/ SciGRID] project at the [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in [http://scigrid.de/ SciGRID]. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.<br />
<br />
[https://zenodo.org/record/47317 Data extracts] are provided for Europe and North America in a similar CSV format to [http://scigrid.de/ SciGRID].<br />
<br />
=== IRENA OpenStreetMap Extract ===<br />
<br />
See [http://globalatlas.irena.org/NewsDetailPublic.aspx?id=2278 IRENA News Announcement]<br/><br />
<br />
== Non-Region Specific ==<br />
<br />
=== University of Washington Power Systems Test Case Archive ===<br />
<br />
[http://www.ee.washington.edu/research/pstca/ Power Systems Test Case Archive]<br />
<br />
=== IEEE PES Power Grid Library ===<br />
<br />
[https://power-grid-lib.github.io/ Overview]<br />
<br />
[https://github.com/power-grid-lib/pglib-opf Optimal Power Flow Cases]<br />
<br />
=== RWTH Aachen Transmission Expansion Problem Benchmark Case ===<br />
<br />
RWTH Aachen has published [http://www.ifht.rwth-aachen.de/en/tep A Benchmark Case for Network Expansion], which is "derived from the IEEE 118 bus network and modified in accordance with European standards such as a nominal frequency of 50Hz, the use of conventional voltage levels, and conductor dimensions."<br />
<br />
Registration is required to download the model.<br />
<br />
The paper describing the model is [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7232601 A benchmark case for network expansion methods], 2015.<br />
<br />
= Other lists of network datasets =<br />
<br />
*[http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Enipedia list]<br />
<br />
*[http://enipedia.tudelft.nl/OpenStreetMap/ Nightly extracts of the power grid from OpenStreetMap]<br />
**See the maps at [http://www.itoworld.com/map/106 ITO World Electricity Generation] and [http://www.itoworld.com/map/4 ITO World Electricity Distribution] for a visual overview of what this covers.<br />
**This data is fed into the [http://enipedia.tudelft.nl/Elasticsearch.html search page here] where you locate data on individual power plants.<br />
<br />
*[http://www.maths.ed.ac.uk/optenergy/data/Summary.pdf Edinburgh University list]<br />
<br />
*[https://github.com/ComplexNetTSP/ComplexNetWiki/wiki/2.2.3-PowerGrid- Github repository] of several transmission network models<br/><br />
<br />
*[https://github.com/caesar0301/awesome-public-datasets#complex-networks Github list of complex network datasets]<br />
<br />
<br/><br />
<br />
= Free software for power system analysis =<br />
<br />
[https://github.com/rwl/PYPOWER PyPower] in Python<br/><br />
<br />
[https://github.com/FRESNA/PyPSA PyPSA]: Python for Power System Analysis<br />
<br />
[https://bitbucket.org/harald_g_svendsen/powergama/wiki/Home PowerGAMA] in Python<br />
<br />
[http://www.pserc.cornell.edu/matpower/ MATPOWER] in Matlab or Octave<br />
<br />
[http://sourceforge.net/projects/electricdss/ OpenDSS] in Delphi<br />
<br />
[http://faraday1.ucd.ie/psat.html PSAT] in Matlab or Octave<br />
<br />
[https://github.com/lanl-ansi/PowerModels.jl PowerModels.jl] in Julia<br />
<br />
[https://github.com/wheitkoetter/AutoGridComp AutoGridComp] in Python for the comparison of power grid models<br />
<br />
'''Other lists of power system analysis software'''<br />
<br />
[https://wiki.openelectrical.org/index.php?title=Power_Systems_Analysis_Software https://wiki.openelectrical.org/index.php?title=Power_Systems_Analysis_Software]<br />
<br />
[https://nkloc.wordpress.com/2011/11/11/power-system-simulation-software-list/ https://nkloc.wordpress.com/2011/11/11/power-system-simulation-software-list/]<br />
<br />
[http://www2.econ.iastate.edu/tesfatsi/ElectricOSS.htm http://www2.econ.iastate.edu/tesfatsi/ElectricOSS.htm]<br />
<br />
<br/><br />
<br />
= Typical electrical parameters for transmission infrastructure =<br />
<br />
== Calculating cable impedances ==<br />
<br />
See [http://www.openelectrical.org/wiki/index.php?title=Cable_Impedance_Calculations http://www.openelectrical.org/wiki/index.php?title=Cable_Impedance_Calculations] and electrical engineering textbooks.<br />
<br />
== Generalities on overhead alternating current transmission lines ==<br />
<br />
=== Three-phase power ===<br />
<br />
In almost all of the world electrical power is transmitted using alternating current with three phases separated by 120 degrees, see [https://en.wikipedia.org/wiki/Three-phase_electric_power Wikipedia: Three-phase electric power].<br />
<br />
For this reason the cables on power lines are bundled in groups of three.<br />
<br />
(Exceptions include: direct current power lines and some [https://en.wikipedia.org/wiki/Railway_electrification_system transmission systems for supplying trains], which are e.g. in Germany two-phase and at 16.7 Hz.)<br />
<br />
Current I and current limits are almost always quoted per phase.<br />
<br />
Voltage in the transmission system is almost always quoted as the phase-to-phase potential difference, often called line-to-line voltage V_{LL}, since this is the easiest value to measure. It is related to the line-to-ground or line-to-neutral potential difference V_{LN} by V_{LL} = \sqrt{3} V_{LN}.<br />
<br />
The apparent power transported in each phase is give by I*V_{LN}, so that for a complete transmission circuit the power is three times this value:<br />
<br />
S = 3*I*V_{LN} = \sqrt(3)*I*V_{LL}<br />
<br />
Often it is assumed that the voltage and current magnitudes are the same in each phase, i.e. that the system is balanced and symmetric. This should be the case in the normal operation of the transmission system. The impedances and limits below are quoted assuming that the system is balanced, so that only positive sequence impedances are given. See [https://en.wikipedia.org/wiki/Symmetrical_components Wikipedia: Symmetrical components].<br />
<br />
In an unbalanced system, the three phases can be described using the positive-, negative- and zero-sequence components, where the impedances are different for each sequence.<br />
<br />
=== Bundled conductors ===<br />
<br />
See [https://en.wikipedia.org/wiki/Overhead_power_line#Bundle_conductors Wikipedia: Overhead power line: Bundle conductors].<br />
<br />
Often the conducting wires for each phase are separated into bundles of several parallel wires, connected at intervals by spacers. This has several advantages: the higher surface area increases the current-carrying capacity, which is limited by the [https://en.wikipedia.org/wiki/Skin_effect skin effect], it reduces inductance and it helps to cool the wires.<br />
<br />
=== Circuits ===<br />
<br />
Each group of three phases is called a circuit. Power-carrying capability can be increased by having several circuits on a single pylon, so that wire bundles always appear in multiples of 3 in power lines.<br />
<br />
== European 50 Hz transmission lines ==<br />
<br />
The main European alternating current (AC) electricity system is operated at 50 Hz. (Other networks, such as those for electrified trains, operate at other frequencies and some transmission lines use direct current.)<br />
<br />
On the continent AC transmission voltages are typically 220 kV or 380 kV (sometimes quoted as 400 kV, since network operators often run their grid above nominal voltage to reduce network losses).<br />
<br />
220 kV overhead lines are typically configured with a bundle of 2 wires per phase with wires of cross-section Al/St 240/40.<br />
<br />
380 kV overhead lines are typically configured with a bundle of 4 wires per phase with wires of cross-section Al/St 240/40.<br />
<br />
We now list the impedances of the transmission lines, which can be used for example in the [http://www.electrical4u.com/medium-transmission-line/ lumped pi model].<br />
<br />
{| style="width:100%" class="wikitable sortable" cellspacing="1" cellpadding="1" border="1"<br />
|+ Electrical properties for single circuits<br />
|-<br />
! scope="col" | Voltage level (kV)<br />
! scope="col" | Type<br />
! scope="col" | Conductors<br />
! scope="col" | Series resistance (Ohm/km)<br />
! scope="col" | Series inductive reactance (Ohm/km)<br />
! scope="col" | Shunt capacitance (nF/km)<br />
! scope="col" | Current thermal limit (A)<br />
! scope="col" | Apparent power thermal limit (MVA)<br />
|-<br />
| 220<br />
| Overhead line<br />
| 2-wire-bundle Al/St 240/40<br />
| 0.06<br />
| 0.301<br />
| 12.5<br />
| 1290<br />
| 492<br />
|-<br />
| 380<br />
| Overhead line<br />
| 4-wire-bundle Al/St 240/40<br />
| 0.03<br />
| 0.246<br />
| 13.8<br />
| 2580<br />
| 1698<br />
|}<br />
<br />
In the table the thermal limit for the current is calculated as 645 A per wire at an outside temperature of 20 degrees Celsius.<br />
<br />
The thermal limit for the apparent power S is derived from the per-phase current limit I and the line-to-line voltage V by S = \sqrt{3}VI.<br />
<br />
Sources for the electrical parameters:<br />
<br />
Oeding and Oswald [http://www.springer.com/us/book/9783642192456 Elektrische Kraftwerke und Netze], 2011, Chapter 9<br />
<br />
See also comparable parameters in:<br />
<br />
*[http://www.dena.de/fileadmin/user_upload/Projekte/Energiesysteme/Dokumente/denaVNS_Abschlussbericht.pdf DENA Distribution Network Study], 2012, Table 5.6<br />
*[https://www.diw.de/documents/publikationen/73/diw_01.c.440963.de/diw_datadoc_2014-072.pdf DIW Data Documentation 72], 2014, Table 15, taken from Kießling, F., Nefzger, P., Kaintzyk, U., "Freileitungen: Planung, Berechnung, Ausführung", 2001, Springer<br />
*[https://www.zml.kit.edu/downloads/Elektrische_Energieuebertragung_Leseprobe_Kapitel_2.pdf KIT Electrical Parameters Reading Sample], 2013<br />
<br />
== European 50 Hz high voltage transformers ==<br />
<br />
Typical 380/220 kV transformers have a nominal power of around 400-500 MVA and a per unit series reactance of around 0.08-0.1.<br />
<br />
#TODO: references<br />
<br />
== Combining electrical parameters for multiple circuits ==<br />
<br />
In the table above, the impedances are quoted for a single circuit. The resistance and inductive reactance decrease proportional to the number of parallel circuits (with small modifications to the inductance due to the different geometry of the parallel circuits). Similarly the capacitance increases proportional to the number of parallel circuits (again, roughly because of changing geometry).<br />
<br />
<br/><br />
<br />
== Standard Test Test Networks ==<br />
<br />
[http://sites.ieee.org/pes-testfeeders/resources/ http://sites.ieee.org/pes-testfeeders/resources/]<br />
<br />
[https://github.com/e2nIEE/pandapower/tree/develop/pandapower/networks https://github.com/e2nIEE/pandapower/tree/develop/pandapower/networks]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Transmission_network_datasetsTransmission network datasets2020-01-24T13:07:54Z<p>Fabian Neumann: /* Europe */</p>
<hr />
<div><br />
= Network datasets by region<br/> =<br />
<br />
<br />
== Europe<br/> ==<br />
<br />
{| style="width:100%" class="wikitable sortable" cellspacing="1" cellpadding="1" border="1"<br />
|-<br />
! Name<br />
! Version<br />
! <br />
Year<br/><br />
<br />
Published<br />
<br />
! Represented year<br />
! Region<br />
! Num. Substations or Buses<br />
! Num. Lines<br />
! Contains<br />
! Direct download?<br />
! Licence<br />
! Format<br />
|-<br />
| [http://scigrid.de/ SciGRID]<br />
| 0.2<br />
| 2015<br />
| 2015<br/><br />
| Germany, but in principle whole world<br />
| 495<br />
| 825<br />
| Topology, Impedances<br />
| Yes<br />
| Apache Licence, Version 2.0 (code, documentation). ODBL (data)<br/><br />
| CSV (csvdata)<br />
|-<br />
| [http://www.powerworld.com/knowledge-base/updated-and-validated-power-flow-model-of-the-main-continental-european-transmission-network Bialek European Model]<br />
| 2<br />
| 2013<br />
| 2009<br />
| Continental Europe<br />
| 1494 buses<br />
| 2322<br />
| Topology, Impedances, Loads, Generators<br />
| Yes<br />
| Public Domain Dedication<br />
| PowerWorld, Excel<br />
|-<br />
| [http://www2.nationalgrid.com/UK/Industry-information/Future-of-Energy/Electricity-Ten-Year-Statement/ National Grid ETYS 2014 Model]<br />
| <br/><br />
| 2014<br />
| 2014<br />
| Great Britain<br />
| 365<br />
| 316<br />
| Topology, Impedances, Loads, Generators<br/><br />
| Yes<br />
| Unclear<br />
| <br/><br />
|-<br />
| [https://www.apg.at/en/Stromnetz/APG-Netz Austrian Power Network Grid]<br/><br />
| <br/><br />
| 2015<br />
| 2015<br />
| Austria<br />
| <br/><br />
| ~100<br />
| Topology, Impedances<br />
| Yes<br />
| Unclear<br />
| PDF<br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 1<br />
| 2015 and before<br />
| 2020?<br />
| Continental Europe?<br />
| 1000s<br />
| 1000s<br />
| Topology, Impedances<br />
| Requires registration<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span><br />
| CIM<br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 2<br />
| 2015<br />
| 2030<br />
| GB, Ireland, Baltics, Finland, Continental Europe<br />
| 1000s<br />
| 1000s<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span><br />
| Excel<br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 3<br />
| 2016<br />
| 2030<br/><br />
| GB, Ireland, Baltics, Finland, Continental Europe<br />
| 1000s<br />
| 1000s<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/><br />
| Restrictive<br/><br />
| Excel<br/><br />
|-<br />
| [https://www.entsoe.eu/stum/ ENTSO-E STUM]<br />
| 2<br />
| 2015<br />
| 2030<br />
| GB, Ireland, Baltics, Finland, Continental Europe<br />
| 1000s<br />
| 1000s<br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span><br />
| Excel<br />
|-<br />
| [https://doi.org/10.5281/zenodo.3601881 PyPSA-Eur]<br />
| 0.1.0<br />
| 2020<br/><br />
| 2020<br/><br />
| GB, Ireland, Baltics, Scandinavia, Continental Europe<br/><br />
| 5000<br/><br />
| 6000<br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances, Loads, Generators, Renewable Availability Time Series</span><br/><br />
| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Yes</span><br/><br />
| CC BY 4.0 (Dataset), GNU GPL v3.0<br />
| NetCDF, CSV (alternative)<br />
|}<br />
<br />
<br/><br />
<br />
=== SciGRID ===<br />
<br />
[http://scigrid.de/ SciGRID] is a project which started in 2014 and will be running for three years. The aim of SciGRID is to develop an open and free model of the European transmission network based on data from the [http://www.openstreetmap.org/ OpenStreetMap]. It is carried out by [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], an independent non-profit institute at the University of Oldenburg, Germany, and funded by the [https://www.bmbf.de/ German Ministry of Education and Research],&nbsp; and the initiative [http://forschung-stromnetze.info/ Zukunftsfähige Stromnetze].<br />
<br />
An unofficial, post-processed version of SciGRID version 0.2 for Germany with attached load, generation and transformers is available as a [https://github.com/FRESNA/PyPSA/tree/master/examples/scigrid-de PyPSA example], see also [http://pypsa.org/index.html#screenshots-and-example-jupyter-ipython-notebooks screenshots].<br/><br />
<br />
=== GridKit European Dataset ===<br />
<br />
[https://github.com/bdw/GridKit GridKit] uses spatial and topological analysis to transform map objects from [http://www.openstreetmap.org/ OpenStreetMap] into a network model of the electric power system. It has been developed in the context of the [http://scigrid.de/ SciGRID] project at the [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in [http://scigrid.de/ SciGRID]. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.<br />
<br />
[https://zenodo.org/record/47317 Data extracts] are provided for Europe and North America in a similar CSV format to [http://scigrid.de/ SciGRID].<br />
<br />
=== osmTGmod Model<br/> ===<br />
<br />
[https://github.com/maltesc/osmTGmod osmTGmod] is a load-flow model of the German transmission-gird, based on the free geo-database [http://www.openstreetmap.org/ OpenStreetMap] (OSM). The model, respectively the heuristic abstraction process employs a PostgreSQL-database extended by PostGIS. The key part of the abstraction process is implemented in SQL and ProstgreSQL's procedural language pl/pgSQL. The abstraction and all additional modules are controlled by a Python-environment.<br />
<br />
=== Bialek European Model<br/> ===<br />
<br />
The 2nd version of the [http://www.powerworld.com/knowledge-base/updated-and-validated-power-flow-model-of-the-main-continental-european-transmission-network Bialek European Model] is downloadable as an Excel file and in the format of the proprietary modelling software [http://www.powerworld.com/ PowerWorld]. The model covers voltages from 110 kV (a single line in the Balkans) up to 380 kV. It is released under a Public Domain Dedication.<br/><br />
<br />
The 1st version was released in 2002-2004 and is no longer available (see [http://web.archive.org/web/20100525115039/http://www.see.ed.ac.uk/~jbialek/Europe_load_flow/ Archive mirror]). The 1st version did not contain the Balkans region.<br />
<br />
The methodology and validation for the 1st version of the model can be found in the paper [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1425573 Approximate model of European interconnected system as a benchmark system to study effects of cross-border trades] by Zhou and Bialek, 2005.<br />
<br />
The model contains the impedances and number of circuits of each line, but not the length (which can in principle be determined from the impedance and number of circuits, given standard line parameters). Only cross-border lines are assigned thermal capacities.<br />
<br />
There is currently no coordinate dataset for the buses. The PowerWorld file contains spatial data, but in an unknown projection. The [https://github.com/nworbmot/georef-bialek/ georef-bialek github project] is an attempt to fix this; there is also a [https://zenodo.org/record/35177 geo-referenced version] from Tue Vissing Jensen.<br />
<br />
=== DIW ELMOD-DE open model of Germany ===<br />
<br />
[http://www.diw.de/de/diw_01.c.528493.de/forschung_beratung/nachhaltigkeit/umwelt/verkehr/energie/modelle/elmod.html#ELMOD-DE ELMOD-DE] is an open model of the German electricity system developed at DIW and TU Berlin, which includes both a model of the high voltage transmission network, power plants, hourly load and weather data for the year 2012 and GAMS code to run linear optimisation simulations. It contains 438 geo-referenced network nodes and 697 transmission lines at 380 kV and 220 kV. Transformers are not modelled but per unit line series impedances are adjusted to the voltage level.<br />
<br />
The model includes 47 pages of documentation.<br />
<br />
The transmission data was, according to the documentation, derived from the VDE and TSO maps and from [http://www.openstreetmap.org/ OpenStreetMap]. The data is provided as-is without the code that generated it.<br />
<br />
=== National Grid Model ===<br />
<br />
[http://www2.nationalgrid.com/UK/Industry-information/Future-of-Energy/Electricity-Ten-Year-Statement/ National Grid Electricity Ten Year Statement 2014 Model]<br />
<br />
Shapefiles and maps of tower, lines, cables and substations [https://www.nationalgridet.com/network-and-assets/network-route-maps here].<br/><br />
<br />
=== Austrian Power Network Grid Model<br/> ===<br />
<br />
[https://www.apg.at/en/Stromnetz/APG-Netz Austrian Power Network Grid]<br/><br />
<br />
<br/><br />
<br />
=== Danish Power Network Grid Model<br/> ===<br />
<br />
[https://en.energinet.dk/Electricity/Energy-data/System-data Danish Transmission network data]<br />
<br />
The data are not directly available, but rather a [https://en.energinet.dk/About-us/Registrations/Formular056 registration form] is required before obtaining access.<br />
<br />
It has features not present in the ENTSO-E STUM (see below):<br />
<br />
*It's a full non-linear model with all the reactive power demand, P and Q capabilities of gens and shunt reactive power compensation.<br />
*It lists the power capabilities of the generators and their fuel type (wind/solar/gas etc), not just the dispatch.<br />
*They seem to have separated RE feed-in from the load, which wasn't the case for STUM where wind and solar are lumped with the load as residual load.<br />
<br />
What's missing are geocoordinates for the substations (which can be read off roughly from the JPG map) and time-dependence of the loads and/or variable generators. For Denmark, which has many CHP units, it would also be useful to know the heat demand and how the CHP units are operated.<br />
<br />
<br/><br />
<br />
=== RTE Network Dataset for France<br/> ===<br />
<br />
[https://clients.rte-france.com/lang/an/visiteurs/vie/indispos_caracteristiques_statiques.jsp RTE network dataset]<br />
<br />
=== Elia Network Dataset for Belgium ===<br />
<br />
[http://www.elia.be/en/grid-data/Grid-Technical-Data Elia network dataset]<br />
<br />
=== TenneT NL Network Dataset for the Netherlands<br/> ===<br />
<br />
[http://www.tennet.org/english/operational_management/transmission_services/Calculated_crossborder_cap/explanatory_documents.aspx TenneT NL]<br />
<br />
=== TenneT DE Network Dataset for Central Germany<br/> ===<br />
<br />
[http://www.tennettso.de/site/Transparenz/veroeffentlichungen/statisches-netzmodell/statisches-netzmodell Tennet DE]<br/><br />
<br />
=== Amprion Network Dataset for Western Germany<br/> ===<br />
<br />
[https://www.amprion.net/Energy-Market/Congestion-Management/Static-Grid-Model/ Amprion], [https://www.amprion.net/Netzausbau/Interaktive-Karte/ interactive map] of the grid extension projects<br/><br />
<br />
=== TransnetBW Network Dataset for Southwest Germany<br/> ===<br />
<br />
[https://www.transnetbw.de/de/strommarkt/engpassmanagement/standards-zukunft TransnetBW]<br/><br />
<br />
=== 50 Hertz Network Dataset for Eastern Germany<br/> ===<br />
<br />
[https://www.50hertz.com/de/Transparenz/Kennzahlen/StatischesNetzmodell 50 Hertz statistisches Netz]<br/><br />
<br />
<br/><br />
<br />
=== Ceps Network Dataset for <span lang="EN-GB">Czec</span>h Republic<br/> ===<br />
<br />
[https://www.ceps.cz/ENG/Cinnosti/Technicka-infrastruktura/Pages/Udaje-o-PS.aspx CEPS]<br/><br />
<br />
=== ENTSO-E Interactive Grid Map ===<br />
<br />
ENTSO-E announced its [https://www.entsoe.eu/map/Pages/default.aspx Interactive ENTSO-E Transmission Network Map] in March 2016.<br />
<br />
The map uses [http://www.openstreetmap.org/ OpenStreetMap] as a background and [https://www.mapbox.com/about/maps/ Mapbox] for displaying the map data.<br />
<br />
The map is based on the ENTSO-E static grid map, which is based on the TSOs' own maps. It is known to be an approximate artistic representation rather than an accurate geographical map. Some power plants may be incorrectly labelled (e.g. fuel type may not be accurate).<br />
<br />
The map includes information on the number of circuits and the voltage levels of transmission lines.<br />
<br />
Information, including all geographical coordinates, can be extracted from the web API, but requires further topological processing to be turned into an electrical network model. Lines need to be connected, etc. The [https://github.com/bdw/GridKit GridKit] project provides code for this purpose and has released an [https://zenodo.org/record/55853 unofficial dataset], which forms an electrical network model complete with buses, links, generators and transformers, full geographic coordinates, as well as all electrical metadata contained in the ENTSO-E map.<br />
<br />
=== ENTSO-E Static Grid Map ===<br />
<br />
ENTSO-E releases [https://www.entsoe.eu/publications/order-maps-and-publications/electronic-grid-maps/Pages/default.aspx maps of the European transmission grid], both electronically and in paper form.<br />
<br />
The maps for the whole ENTSO-E system are in the projection [http://prj2epsg.org/epsg/3034 EPSG 3034], which is a [https://en.wikipedia.org/wiki/Lambert_conformal_conic_projection Lambert Conformal Conic projection]. The lower left corner is approximately at (lon,lat) = (-9.5,28) and the upper left corner is at (75.5,58.5). This was checked in the [https://github.com/nworbmot/georef-bialek/ georef-bialek github project].<br />
<br />
=== ENTSO-E STUM ===<br />
<br />
ENTSO-E makes available a model of the European transmission system. Registration is required to download it on the [https://www.entsoe.eu/stum/ ENTSO-E STUM] page. It is not totally clear what one may and may not do with it (e.g. whether it is possible to publish results derived from it or an aggregation of the nodes, etc.).<br />
<br />
The first version of the model was released in the CIM XML-based format for the old UCTE area. The model was a winter snapshot for 2020, including TYNDP projects. The node names were obscured so that the model was unusable. Line capacities were missing.<br />
<br />
The second version, published in June 2015 as Excel spreadsheets, is more useful. It contains the whole ENTSO-E area with the exception of Norway, Sweden, Cyrus and Iceland. The node names are the same as those used by the TSOs. Quoting from the documentation: "It represents the power system of the ENTSO-E members for 2030 in Vision I of the TYNDP 2014", i.e. it includes planned TYNDP projects. It includes all nodes, lines, transformers and aggregated loads and generators at each node for one snapshot. Line data includes series reactance and resistance, but not line length or capacity or number of circuits or wires per circuit bundle. Geolocation data for the nodes is missing. Node names are recognisable from the substation names on the ENTSO-E map. The model is intended for a linear load flow only. It is not clear which wind/solar/load snapshot the model represents (it is an "exemplary scenario"). Generators are not distinguished by generation source.<br />
<br />
The third version, published in February 2016 as Excel spreadsheets has in addition thermal ratings for most transformers and most transmission lines, along with reactive power feed-in, consumption and compensation, so that a full non-linear power flow can be run on the grid.<br />
<br />
=== ENTSO-E Initial Dynamic Model of Continental Europe ===<br />
<br />
[https://www.entsoe.eu/publications/system-operations-reports/continental-europe/Initial-Dynamic-Model/Pages/default.aspx ENTSO-E Initial Dynamic Model of Continental Europe]<br />
<br />
Requires registration. Can model "the main frequency response of the system as well as the main inter-area oscillation modes".<br />
<br />
=== Flow-based market coupling data by Joint Allocation Office ===<br />
<br />
The joint allocation office hosts various official data (including [http://utilitytool.jao.eu/CascUtilityWebService.asmx?op=GetPTDFEarlyPublicationForAPeriod PTDFs]) around the Flow-based market coupling algorithm in use in Europe.<br />
<br />
[http://utilitytool.jao.eu/ http://utilitytool.jao.eu/]<br />
<br />
[http://utilitytool.jao.eu/CascUtilityWebService.asmx http://utilitytool.jao.eu/CascUtilityWebService.asmx]<br />
<br />
=== PyPSA-Eur: An Open Optimisation Model of the European Transmission System ===<br />
<br />
PyPSA-Eur is a model/dataset of the European power system at the transmission network level.<br />
<br />
The model covers the ENTSO-E area and contains all alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.<br />
<br />
The model only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets. The model is suitable both for operational studies and generation and transmission expansion planning studies.<br />
<br />
Current versions of the code and dataset can be found on zenodo:<br />
<br />
*[https://zenodo.org/record/3603127#.Xhcvdtl7m0I https://zenodo.org/record/3603127#.Xhcvdtl7m0I] (Code)<br />
*[https://zenodo.org/record/3601882#.XhcvqNl7m0J https://zenodo.org/record/3601882#.XhcvqNl7m0J] (Dataset)<br />
<br />
Documentation is available at [https://pypsa-eur.readthedocs.io https://pypsa-eur.readthedocs.io]<br />
<br />
Development takes place on Github at [https://github.com/pypsa/pypsa-eur https://github.com/pypsa/pypsa-eur]<br />
<br />
The netcdf files (.nc) can be imported with PyPSA. Documentation for this is available at [https://pypsa.readthedocs.io/en/latest/import_export.html#import-from-netcdf https://pypsa.readthedocs.io/en/latest/import_export.html#import-from-netcdf].<br />
<br />
Some basic validation is provided in a paper describing the dataset:<br />
<br />
Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. [https://arxiv.org/abs/1806.01613 https://arxiv.org/abs/1806.01613], [https://doi.org/10.1016/j.esr.2018.08.012 https://doi.org/10.1016/j.esr.2018.08.012].<br />
<br />
<br />
== Australia<br/> ==<br />
<br />
[https://data.gov.au/dataset/ds-ga-1185c97c-c042-be90-e053-12a3070a969b/details?q=national Lines] and [https://data.gov.au/dataset/ds-ga-13be62a4-4fe3-f812-e053-12a3070a22be/details?q=national substations]<br />
<br />
<br/><br />
<br />
== United States ==<br />
<br />
There is raster graphic of the US transmission grid at [https://www.e-education.psu.edu/geog469/book/export/html/111 https://www.e-education.psu.edu/geog469/book/export/html/111].<br />
<br />
=== Western Electricity Coordinating Council ===<br />
<br />
Apparently there is a a WECC Transmission Expansion Planning Policy Committee (TEPPC) 2024 Common Case GridView dataset, but the exact link seems elusive.<br />
<br />
The WECC [https://www.wecc.biz/TransmissionExpansionPlanning/Pages/Datasets.aspx Transmission Expansion Planning] has links to Excel files.<br />
<br />
=== Western US Power Grid ===<br />
<br />
The [http://nexus.igraph.org/api/dataset_info?id=15&format=html Western US Power Grid dataset] has 4941 nodes and 6594 lines, but apparently these are not well enough labelled to distinguish where and what the nodes/lines are.<br/><br />
<br />
=== GridKit North American Dataset ===<br />
<br />
[https://github.com/bdw/GridKit GridKit] uses spatial and topological analysis to transform map objects from [http://www.openstreetmap.org/ OpenStreetMap] into a network model of the electric power system. It has been developed in the context of the [http://scigrid.de/ SciGRID] project at the [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in [http://scigrid.de/ SciGRID]. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.<br />
<br />
[https://zenodo.org/record/47317 Data extracts] are provided for Europe and North America in a similar CSV format to [http://scigrid.de/ SciGRID].<br />
<br />
== Global ==<br />
<br />
=== OpenStreetMap ===<br />
<br />
The global OpenStreetMap (OSM) power grid data is visible at [http://www.itoworld.com/map/4 ITO World Electricity Distribution] and [http://enipedia.tudelft.nl/ Enipedia] has [http://enipedia.tudelft.nl/OpenStreetMap/ nightly extracts of the power grid from OSM].<br />
<br />
=== GridKit Datasets ===<br />
<br />
[https://github.com/bdw/GridKit GridKit] uses spatial and topological analysis to transform map objects from [http://www.openstreetmap.org/ OpenStreetMap] into a network model of the electric power system. It has been developed in the context of the [http://scigrid.de/ SciGRID] project at the [http://www.next-energy.de/ NEXT ENERGY - EWE Research Centre for Energy Technology], to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in [http://scigrid.de/ SciGRID]. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.<br />
<br />
[https://zenodo.org/record/47317 Data extracts] are provided for Europe and North America in a similar CSV format to [http://scigrid.de/ SciGRID].<br />
<br />
=== IRENA OpenStreetMap Extract ===<br />
<br />
See [http://globalatlas.irena.org/NewsDetailPublic.aspx?id=2278 IRENA News Announcement]<br/><br />
<br />
== Non-Region Specific ==<br />
<br />
=== University of Washington Power Systems Test Case Archive ===<br />
<br />
[http://www.ee.washington.edu/research/pstca/ Power Systems Test Case Archive]<br />
<br />
=== IEEE PES Power Grid Library ===<br />
<br />
[https://power-grid-lib.github.io/ Overview]<br />
<br />
[https://github.com/power-grid-lib/pglib-opf Optimal Power Flow Cases]<br />
<br />
=== RWTH Aachen Transmission Expansion Problem Benchmark Case ===<br />
<br />
RWTH Aachen has published [http://www.ifht.rwth-aachen.de/en/tep A Benchmark Case for Network Expansion], which is "derived from the IEEE 118 bus network and modified in accordance with European standards such as a nominal frequency of 50Hz, the use of conventional voltage levels, and conductor dimensions."<br />
<br />
Registration is required to download the model.<br />
<br />
The paper describing the model is [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7232601 A benchmark case for network expansion methods], 2015.<br />
<br />
= Other lists of network datasets =<br />
<br />
*[http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Enipedia list]<br />
<br />
*[http://enipedia.tudelft.nl/OpenStreetMap/ Nightly extracts of the power grid from OpenStreetMap]<br />
**See the maps at [http://www.itoworld.com/map/106 ITO World Electricity Generation] and [http://www.itoworld.com/map/4 ITO World Electricity Distribution] for a visual overview of what this covers.<br />
**This data is fed into the [http://enipedia.tudelft.nl/Elasticsearch.html search page here] where you locate data on individual power plants.<br />
<br />
*[http://www.maths.ed.ac.uk/optenergy/data/Summary.pdf Edinburgh University list]<br />
<br />
*[https://github.com/ComplexNetTSP/ComplexNetWiki/wiki/2.2.3-PowerGrid- Github repository] of several transmission network models<br/><br />
<br />
*[https://github.com/caesar0301/awesome-public-datasets#complex-networks Github list of complex network datasets]<br />
<br />
<br/><br />
<br />
= Free software for power system analysis =<br />
<br />
[https://github.com/rwl/PYPOWER PyPower] in Python<br/><br />
<br />
[https://github.com/FRESNA/PyPSA PyPSA]: Python for Power System Analysis<br />
<br />
[https://bitbucket.org/harald_g_svendsen/powergama/wiki/Home PowerGAMA] in Python<br />
<br />
[http://www.pserc.cornell.edu/matpower/ MATPOWER] in Matlab or Octave<br />
<br />
[http://sourceforge.net/projects/electricdss/ OpenDSS] in Delphi<br />
<br />
[http://faraday1.ucd.ie/psat.html PSAT] in Matlab or Octave<br />
<br />
[https://github.com/lanl-ansi/PowerModels.jl PowerModels.jl] in Julia<br />
<br />
[https://github.com/wheitkoetter/AutoGridComp AutoGridComp] in Python for the comparison of power grid models<br />
<br />
'''Other lists of power system analysis software'''<br />
<br />
[https://wiki.openelectrical.org/index.php?title=Power_Systems_Analysis_Software https://wiki.openelectrical.org/index.php?title=Power_Systems_Analysis_Software]<br />
<br />
[https://nkloc.wordpress.com/2011/11/11/power-system-simulation-software-list/ https://nkloc.wordpress.com/2011/11/11/power-system-simulation-software-list/]<br />
<br />
[http://www2.econ.iastate.edu/tesfatsi/ElectricOSS.htm http://www2.econ.iastate.edu/tesfatsi/ElectricOSS.htm]<br />
<br />
<br/><br />
<br />
= Typical electrical parameters for transmission infrastructure =<br />
<br />
== Calculating cable impedances ==<br />
<br />
See [http://www.openelectrical.org/wiki/index.php?title=Cable_Impedance_Calculations http://www.openelectrical.org/wiki/index.php?title=Cable_Impedance_Calculations] and electrical engineering textbooks.<br />
<br />
== Generalities on overhead alternating current transmission lines ==<br />
<br />
=== Three-phase power ===<br />
<br />
In almost all of the world electrical power is transmitted using alternating current with three phases separated by 120 degrees, see [https://en.wikipedia.org/wiki/Three-phase_electric_power Wikipedia: Three-phase electric power].<br />
<br />
For this reason the cables on power lines are bundled in groups of three.<br />
<br />
(Exceptions include: direct current power lines and some [https://en.wikipedia.org/wiki/Railway_electrification_system transmission systems for supplying trains], which are e.g. in Germany two-phase and at 16.7 Hz.)<br />
<br />
Current I and current limits are almost always quoted per phase.<br />
<br />
Voltage in the transmission system is almost always quoted as the phase-to-phase potential difference, often called line-to-line voltage V_{LL}, since this is the easiest value to measure. It is related to the line-to-ground or line-to-neutral potential difference V_{LN} by V_{LL} = \sqrt{3} V_{LN}.<br />
<br />
The apparent power transported in each phase is give by I*V_{LN}, so that for a complete transmission circuit the power is three times this value:<br />
<br />
S = 3*I*V_{LN} = \sqrt(3)*I*V_{LL}<br />
<br />
Often it is assumed that the voltage and current magnitudes are the same in each phase, i.e. that the system is balanced and symmetric. This should be the case in the normal operation of the transmission system. The impedances and limits below are quoted assuming that the system is balanced, so that only positive sequence impedances are given. See [https://en.wikipedia.org/wiki/Symmetrical_components Wikipedia: Symmetrical components].<br />
<br />
In an unbalanced system, the three phases can be described using the positive-, negative- and zero-sequence components, where the impedances are different for each sequence.<br />
<br />
=== Bundled conductors ===<br />
<br />
See [https://en.wikipedia.org/wiki/Overhead_power_line#Bundle_conductors Wikipedia: Overhead power line: Bundle conductors].<br />
<br />
Often the conducting wires for each phase are separated into bundles of several parallel wires, connected at intervals by spacers. This has several advantages: the higher surface area increases the current-carrying capacity, which is limited by the [https://en.wikipedia.org/wiki/Skin_effect skin effect], it reduces inductance and it helps to cool the wires.<br />
<br />
=== Circuits ===<br />
<br />
Each group of three phases is called a circuit. Power-carrying capability can be increased by having several circuits on a single pylon, so that wire bundles always appear in multiples of 3 in power lines.<br />
<br />
== European 50 Hz transmission lines ==<br />
<br />
The main European alternating current (AC) electricity system is operated at 50 Hz. (Other networks, such as those for electrified trains, operate at other frequencies and some transmission lines use direct current.)<br />
<br />
On the continent AC transmission voltages are typically 220 kV or 380 kV (sometimes quoted as 400 kV, since network operators often run their grid above nominal voltage to reduce network losses).<br />
<br />
220 kV overhead lines are typically configured with a bundle of 2 wires per phase with wires of cross-section Al/St 240/40.<br />
<br />
380 kV overhead lines are typically configured with a bundle of 4 wires per phase with wires of cross-section Al/St 240/40.<br />
<br />
We now list the impedances of the transmission lines, which can be used for example in the [http://www.electrical4u.com/medium-transmission-line/ lumped pi model].<br />
<br />
{| style="width:100%" class="wikitable sortable" cellspacing="1" cellpadding="1" border="1"<br />
|+ Electrical properties for single circuits<br />
|-<br />
! scope="col" | Voltage level (kV)<br />
! scope="col" | Type<br />
! scope="col" | Conductors<br />
! scope="col" | Series resistance (Ohm/km)<br />
! scope="col" | Series inductive reactance (Ohm/km)<br />
! scope="col" | Shunt capacitance (nF/km)<br />
! scope="col" | Current thermal limit (A)<br />
! scope="col" | Apparent power thermal limit (MVA)<br />
|-<br />
| 220<br />
| Overhead line<br />
| 2-wire-bundle Al/St 240/40<br />
| 0.06<br />
| 0.301<br />
| 12.5<br />
| 1290<br />
| 492<br />
|-<br />
| 380<br />
| Overhead line<br />
| 4-wire-bundle Al/St 240/40<br />
| 0.03<br />
| 0.246<br />
| 13.8<br />
| 2580<br />
| 1698<br />
|}<br />
<br />
In the table the thermal limit for the current is calculated as 645 A per wire at an outside temperature of 20 degrees Celsius.<br />
<br />
The thermal limit for the apparent power S is derived from the per-phase current limit I and the line-to-line voltage V by S = \sqrt{3}VI.<br />
<br />
Sources for the electrical parameters:<br />
<br />
Oeding and Oswald [http://www.springer.com/us/book/9783642192456 Elektrische Kraftwerke und Netze], 2011, Chapter 9<br />
<br />
See also comparable parameters in:<br />
<br />
*[http://www.dena.de/fileadmin/user_upload/Projekte/Energiesysteme/Dokumente/denaVNS_Abschlussbericht.pdf DENA Distribution Network Study], 2012, Table 5.6<br />
*[https://www.diw.de/documents/publikationen/73/diw_01.c.440963.de/diw_datadoc_2014-072.pdf DIW Data Documentation 72], 2014, Table 15, taken from Kießling, F., Nefzger, P., Kaintzyk, U., "Freileitungen: Planung, Berechnung, Ausführung", 2001, Springer<br />
*[https://www.zml.kit.edu/downloads/Elektrische_Energieuebertragung_Leseprobe_Kapitel_2.pdf KIT Electrical Parameters Reading Sample], 2013<br />
<br />
== European 50 Hz high voltage transformers ==<br />
<br />
Typical 380/220 kV transformers have a nominal power of around 400-500 MVA and a per unit series reactance of around 0.08-0.1.<br />
<br />
#TODO: references<br />
<br />
== Combining electrical parameters for multiple circuits ==<br />
<br />
In the table above, the impedances are quoted for a single circuit. The resistance and inductive reactance decrease proportional to the number of parallel circuits (with small modifications to the inductance due to the different geometry of the parallel circuits). Similarly the capacitance increases proportional to the number of parallel circuits (again, roughly because of changing geometry).<br />
<br />
<br/><br />
<br />
== Standard Test Test Networks ==<br />
<br />
[http://sites.ieee.org/pes-testfeeders/resources/ http://sites.ieee.org/pes-testfeeders/resources/]<br />
<br />
[https://github.com/e2nIEE/pandapower/tree/develop/pandapower/networks https://github.com/e2nIEE/pandapower/tree/develop/pandapower/networks]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2019-02-19T09:41:22Z<p>Fabian Neumann: </p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data (e.g. for a European energy system model) that we should collect links to in the future:<br />
<br />
[[Data requirements for a European energy system model|Data requirements for a European energy system model]]<br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br/><br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
*[https://www.electricitymap.org/ electricitymap.org] has parser scrips for various online data sources in its [https://github.com/tmrowco/electricitymap-contrib#real-time-electricity-data-sources GitHub/parsers page] under GPLv3 license.<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer IEE<br />
*[https://www.entsoe.eu/data/map/ Interactive Power Transmission Grid Map] by ENTSO-E<br />
*[https://transparency.entsog.eu/ Interactive Gas Transmission Grid Map] by ENTSO-G<br />
*[https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false Electricity Map] shows the current carbon intensity of electricity consumed/produced.<br />
*[https://www.agora-energiewende.de/en/service/recent-electricity-data/chart/matrix/19.09.2017/19.09.2018/ Recent Electricity Data] by Agora Energiewende (English and German)<br />
*[https://globalwindatlas.info/ Global Wind Atlas] by Technical University of Denmark<br />
*[https://globalsolaratlas.info/ Global Solar Atlas] by the World Bank Group<br />
*[https://www.epexspot.com/en/market-data/dayaheadauction/chart/auction-chart/ EPEX Spot Day Ahead Auction]<br />
<br />
<br/><br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-02-09T17:09:28Z<p>Fabian Neumann: /* Wikipedia */</p>
<hr />
<div><br />
This page is mostly focussed on large conventional power plants; see also [[Hydroelectricity data|hydroelectricity data]] for hydro-specific data. Datasets of small renewable power plants may have to be treated separately.<br />
<br />
<br/><br />
<br />
= List of Power Plant Data Sources =<br />
<br />
List started by WRI with the aim to aggregate all source. Please contribute and add your name.&nbsp;<br />
<br />
[https://goo.gl/1oX71J https://goo.gl/1oX71J]<br />
<br />
<br/><br />
<br />
= Desired data on power plants =<br />
<br />
For energy model it is useful to know the following data, in rough order of priority<br />
<br />
*Plant primary energy (coal/gas/wind/solar/nuclear/hydro etc.)<br />
*Net electrical output capacity (MW)<br />
*Gross electrical output capacity (MW)<br />
*Operational status (in operation, in planning, out of service, etc.)<br />
*Build date<br />
*Efficiency<br />
*Marginal cost<br />
*CO2 emissions in tonnes CO2 per MWh<br />
*Operator name<br />
*Owner name<br />
*Historical data on output/carbon emissions<br />
*Whether it provides heat output<br />
*If heat output: Thermal output capacity (MWth) and dispatch strategy<br />
*Cooling method<br />
<br />
= Datasets by region =<br />
<br />
== Global ==<br />
<br />
=== Enipedia ===<br />
<br />
[http://enipedia.tudelft.nl/wiki/Portal:Power_Plants http://enipedia.tudelft.nl/wiki/Portal:Power_Plants]<br />
<br />
Enpedia was initially based on CARMA, but also pulls in data from Wikipedia and user entries.<br />
<br />
=== Global Energy Observatory (GEO) ===<br />
<br />
[http://globalenergyobservatory.org/ http://globalenergyobservatory.org/]<br />
<br />
=== Carbon Monitoring for Action (CARMA) ===<br />
<br />
[http://carma.org/ http://carma.org/]<br />
<br />
=== industryAbout ===<br />
<br />
[http://www.industryabout.com/energy http://www.industryabout.com/energy]<br />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]<br />
<br />
=== OpenStreetMap ===<br />
<br />
The OpenStreetMap project has [http://wiki.openstreetmap.org/wiki/Tag:power=plant Tags for power plants]<br />
<br />
<br />
=== Wikipedia ===<br />
<br />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br />
== Europe ==<br />
<br />
<br />
=== ENTSO-E Transparency Platform ===<br />
<br />
[https://transparency.entsoe.eu/generation/r2/installedCapacityPerProductionUnit/show ENTSO-E Transparency Platform]<br />
<br />
All power plants above 100 MW in the ENTSO-E area should be listed, although data is missing from some countries.<br />
<br />
<br/><br />
<br />
<br />
=== Open Power System Data<br/> ===<br />
<br />
[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to European data sources on power plants as well as datasets on<br/><br />
<br />
*[http://data.open-power-system-data.org/conventional_power_plants Conventional power plants]<br />
*[http://data.open-power-system-data.org/renewable_power_plants Renewable power plants] and<br />
*[http://data.open-power-system-data.org/national_generation_capacity National Generation capacities]<br/><br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
=== Bundesnetzagentur for Germany (Germany's Network Regulator) ===<br />
<br />
The German grid regulator "Bundesnetzagentur" (Federal Network Agency) publishes and regularly updates a list of existing power plants feeding into the German grid (including units in Luxemburg, Austria and Switzerland that are connected to the German grid).<br />
<br />
In a separate document, also units that are subject to planned decommissioning or new construction are documented (minimum net power generation capacity: 10 MW).<br />
<br />
Further description (in German) and download in .xls and .csv format is available here:<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/Versorgungssicherheit/Erzeugungskapazitaeten/Kraftwerksliste/kraftwerksliste-node.html External Link]<br />
<br />
=== UBA Database of German Power Plants ===<br />
<br />
[http://www.umweltbundesamt.de/dokument/datenbank-kraftwerke-in-deutschland http://www.umweltbundesamt.de/dokument/datenbank-kraftwerke-in-deutschland]<br />
<br />
All plants above 100MW in Germany<br />
<br />
=== RENPASS ===<br />
<br />
[http://renpass.eu/ http://renpass.eu/]<br />
<br />
=== North-West EU 2020 Model ===<br />
<br />
This is an open access Excel database of a North-West European Power System for a sample year 2020. Data and files were collected and complied by researchers at University College Cork, Ireland.<br />
<br />
Simplified Power plant portfolios are contained in the *.rar file below &nbsp;[Master Dataset for Distribution]<br/><br />
<br />
An associated functioning PLEXOS model and database &nbsp;for teaching and academic research is also provided. The model and model data should be checked and verified by users before use. This current version has not been validated against historic data.<br/><br />
<br />
The PLEXOS model includes hourly wind profiles, demand profiles profiles, simplified power plant data, hourly solar profiles and NTC data for Interconnectors. There is &nbsp;a *.xml file [EU Model Carbon _30] which will function in the PLEXOS for Power Systems Software available from Energy Exemplar.<br/><br />
<br />
Any improvements/errors or suggestions on the data or model can be sent to Paul Deane [ jp.deane@ucc.ie]. This is a market model based on freely available data for the year 2020.<br/><br />
<br />
Please feel free to use as you wish.<br />
<br />
Files may be accessed here<br />
<br />
[[File:Master Dataset for Distribution.rar|180px|http://wiki.openmod-initiative.org/wiki/File:Master_Dataset_for_Distribution.rar|alt=http://wiki.openmod-initiative.org/wiki/File:Master_Dataset_for_Distribution.rar]]<br />
<br />
=== ELMOD ===<br />
<br />
Some of ELMOD, particularly for Germany is available (but just replicates the BNetzA list?).<br />
<br />
<br/><br />
<br />
= Other lists of datasets =<br />
<br />
== Open Power System Data List of European Network Operator Sites ==<br />
<br />
Many network operators/regulators have online datasets, see the [http://open-power-system-data.org/data-sources#Other_European_countries OPSD list of European countries with power plant databases].<br />
<br />
<br/><br />
<br />
= Projects to improve power plant datasets =<br />
<br />
== powerplantmatching (PPM) ==<br />
<br />
A toolset for cleaning, standardizing and combining multiple power plant databases. This package provides '''ready-to-use power plant data for the European power system'''. It cleans, standardizes and merges several input databases and creates a new dataset, which includes all the important information. The package allows to easily update the combined data as soon as new input datasets are released.<br />
<br />
It is entirely ''free-and-open-source software'' (FOSS) and ready-to-download available at [https://doi.org/10.1016/j.esr.2018.08.012 GitHub].<br />
<br />
The application of the toolset has been '''broadly tested and peer-reviewed''' in these two papers here [https://doi.org/10.1016/j.esr.2018.11.004 here] and [https://doi.org/10.1016/j.esr.2018.08.012 here].<br />
<br />
Currently, the toolset is constantly being improved, please feel free to get in touch!<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Enipedia ==<br />
<br />
Enipedia has a nice [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets list of energy and industry data sets]<br />
<br />
Enipedia's [http://enipedia.tudelft.nl/Elasticsearch.html Elastic Search] can search most of the open databases - the challenge is to match the different databases, combine their information and identify missing data (e.g. in the Balkans).<br />
<br />
== World Resources Institute's Power Watch ==<br />
<br />
* [https://drive.google.com/file/d/0BwUQWBXdq2MAUGd1U0pHa2R2aG8/view?usp=sharing One page project description]<br />
* [https://drive.google.com/open?id=0BwUQWBXdq2MAQ1Zqb1NrdXZhUkk Power Watch Map]<br />
* [https://docs.google.com/presentation/d/1ogMlk9XuRiY1FOQ4vAnvtwdjkdpe51oYjNP8iqJzfKU/edit?usp=sharing Introductory presentation]<br />
* [https://docs.google.com/document/d/1tK4-q1h8JZj8hM5SKb3ySX6E38pfS6oggk2X8KDrTB0/edit Database Documentation]<br />
* [https://github.com/wri/powerwatch Github Repo]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-02-09T17:05:00Z<p>Fabian Neumann: /* ENTSO-E Transparency Platform */</p>
<hr />
<div><br />
This page is mostly focussed on large conventional power plants; see also [[Hydroelectricity data|hydroelectricity data]] for hydro-specific data. Datasets of small renewable power plants may have to be treated separately.<br />
<br />
<br/><br />
<br />
= List of Power Plant Data Sources =<br />
<br />
List started by WRI with the aim to aggregate all source. Please contribute and add your name.&nbsp;<br />
<br />
[https://goo.gl/1oX71J https://goo.gl/1oX71J]<br />
<br />
<br/><br />
<br />
= Desired data on power plants =<br />
<br />
For energy model it is useful to know the following data, in rough order of priority<br />
<br />
*Plant primary energy (coal/gas/wind/solar/nuclear/hydro etc.)<br />
*Net electrical output capacity (MW)<br />
*Gross electrical output capacity (MW)<br />
*Operational status (in operation, in planning, out of service, etc.)<br />
*Build date<br />
*Efficiency<br />
*Marginal cost<br />
*CO2 emissions in tonnes CO2 per MWh<br />
*Operator name<br />
*Owner name<br />
*Historical data on output/carbon emissions<br />
*Whether it provides heat output<br />
*If heat output: Thermal output capacity (MWth) and dispatch strategy<br />
*Cooling method<br />
<br />
= Datasets by region =<br />
<br />
== Global ==<br />
<br />
=== Enipedia ===<br />
<br />
[http://enipedia.tudelft.nl/wiki/Portal:Power_Plants http://enipedia.tudelft.nl/wiki/Portal:Power_Plants]<br />
<br />
Enpedia was initially based on CARMA, but also pulls in data from Wikipedia and user entries.<br />
<br />
=== Global Energy Observatory (GEO) ===<br />
<br />
[http://globalenergyobservatory.org/ http://globalenergyobservatory.org/]<br />
<br />
=== Carbon Monitoring for Action (CARMA) ===<br />
<br />
[http://carma.org/ http://carma.org/]<br />
<br />
=== industryAbout ===<br />
<br />
[http://www.industryabout.com/energy http://www.industryabout.com/energy]<br />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]<br />
<br />
=== OpenStreetMap ===<br />
<br />
The OpenStreetMap project has [http://wiki.openstreetmap.org/wiki/Tag:power=plant Tags for power plants]<br />
<br />
=== Wikipedia ===<br />
<br />
== Europe ==<br />
<br />
<br />
=== ENTSO-E Transparency Platform ===<br />
<br />
[https://transparency.entsoe.eu/generation/r2/installedCapacityPerProductionUnit/show ENTSO-E Transparency Platform]<br />
<br />
All power plants above 100 MW in the ENTSO-E area should be listed, although data is missing from some countries.<br />
<br />
<br/><br />
<br />
<br />
=== Open Power System Data<br/> ===<br />
<br />
[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to European data sources on power plants as well as datasets on<br/><br />
<br />
*[http://data.open-power-system-data.org/conventional_power_plants Conventional power plants]<br />
*[http://data.open-power-system-data.org/renewable_power_plants Renewable power plants] and<br />
*[http://data.open-power-system-data.org/national_generation_capacity National Generation capacities]<br/><br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
=== Bundesnetzagentur for Germany (Germany's Network Regulator) ===<br />
<br />
The German grid regulator "Bundesnetzagentur" (Federal Network Agency) publishes and regularly updates a list of existing power plants feeding into the German grid (including units in Luxemburg, Austria and Switzerland that are connected to the German grid).<br />
<br />
In a separate document, also units that are subject to planned decommissioning or new construction are documented (minimum net power generation capacity: 10 MW).<br />
<br />
Further description (in German) and download in .xls and .csv format is available here:<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/Versorgungssicherheit/Erzeugungskapazitaeten/Kraftwerksliste/kraftwerksliste-node.html External Link]<br />
<br />
=== UBA Database of German Power Plants ===<br />
<br />
[http://www.umweltbundesamt.de/dokument/datenbank-kraftwerke-in-deutschland http://www.umweltbundesamt.de/dokument/datenbank-kraftwerke-in-deutschland]<br />
<br />
All plants above 100MW in Germany<br />
<br />
=== RENPASS ===<br />
<br />
[http://renpass.eu/ http://renpass.eu/]<br />
<br />
=== North-West EU 2020 Model ===<br />
<br />
This is an open access Excel database of a North-West European Power System for a sample year 2020. Data and files were collected and complied by researchers at University College Cork, Ireland.<br />
<br />
Simplified Power plant portfolios are contained in the *.rar file below &nbsp;[Master Dataset for Distribution]<br/><br />
<br />
An associated functioning PLEXOS model and database &nbsp;for teaching and academic research is also provided. The model and model data should be checked and verified by users before use. This current version has not been validated against historic data.<br/><br />
<br />
The PLEXOS model includes hourly wind profiles, demand profiles profiles, simplified power plant data, hourly solar profiles and NTC data for Interconnectors. There is &nbsp;a *.xml file [EU Model Carbon _30] which will function in the PLEXOS for Power Systems Software available from Energy Exemplar.<br/><br />
<br />
Any improvements/errors or suggestions on the data or model can be sent to Paul Deane [ jp.deane@ucc.ie]. This is a market model based on freely available data for the year 2020.<br/><br />
<br />
Please feel free to use as you wish.<br />
<br />
Files may be accessed here<br />
<br />
[[File:Master Dataset for Distribution.rar|180px|http://wiki.openmod-initiative.org/wiki/File:Master_Dataset_for_Distribution.rar|alt=http://wiki.openmod-initiative.org/wiki/File:Master_Dataset_for_Distribution.rar]]<br />
<br />
=== ELMOD ===<br />
<br />
Some of ELMOD, particularly for Germany is available (but just replicates the BNetzA list?).<br />
<br />
<br/><br />
<br />
= Other lists of datasets =<br />
<br />
== Open Power System Data List of European Network Operator Sites ==<br />
<br />
Many network operators/regulators have online datasets, see the [http://open-power-system-data.org/data-sources#Other_European_countries OPSD list of European countries with power plant databases].<br />
<br />
<br/><br />
<br />
= Projects to improve power plant datasets =<br />
<br />
== powerplantmatching (PPM) ==<br />
<br />
A toolset for cleaning, standardizing and combining multiple power plant databases. This package provides '''ready-to-use power plant data for the European power system'''. It cleans, standardizes and merges several input databases and creates a new dataset, which includes all the important information. The package allows to easily update the combined data as soon as new input datasets are released.<br />
<br />
It is entirely ''free-and-open-source software'' (FOSS) and ready-to-download available at [https://doi.org/10.1016/j.esr.2018.08.012 GitHub].<br />
<br />
The application of the toolset has been '''broadly tested and peer-reviewed''' in these two papers here [https://doi.org/10.1016/j.esr.2018.11.004 here] and [https://doi.org/10.1016/j.esr.2018.08.012 here].<br />
<br />
Currently, the toolset is constantly being improved, please feel free to get in touch!<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Enipedia ==<br />
<br />
Enipedia has a nice [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets list of energy and industry data sets]<br />
<br />
Enipedia's [http://enipedia.tudelft.nl/Elasticsearch.html Elastic Search] can search most of the open databases - the challenge is to match the different databases, combine their information and identify missing data (e.g. in the Balkans).<br />
<br />
== World Resources Institute's Power Watch ==<br />
<br />
* [https://drive.google.com/file/d/0BwUQWBXdq2MAUGd1U0pHa2R2aG8/view?usp=sharing One page project description]<br />
* [https://drive.google.com/open?id=0BwUQWBXdq2MAQ1Zqb1NrdXZhUkk Power Watch Map]<br />
* [https://docs.google.com/presentation/d/1ogMlk9XuRiY1FOQ4vAnvtwdjkdpe51oYjNP8iqJzfKU/edit?usp=sharing Introductory presentation]<br />
* [https://docs.google.com/document/d/1tK4-q1h8JZj8hM5SKb3ySX6E38pfS6oggk2X8KDrTB0/edit Database Documentation]<br />
* [https://github.com/wri/powerwatch Github Repo]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-02-09T17:03:22Z<p>Fabian Neumann: </p>
<hr />
<div><br />
This page is mostly focussed on large conventional power plants; see also [[Hydroelectricity data|hydroelectricity data]] for hydro-specific data. Datasets of small renewable power plants may have to be treated separately.<br />
<br />
<br/><br />
<br />
= List of Power Plant Data Sources =<br />
<br />
List started by WRI with the aim to aggregate all source. Please contribute and add your name.&nbsp;<br />
<br />
[https://goo.gl/1oX71J https://goo.gl/1oX71J]<br />
<br />
<br/><br />
<br />
= Desired data on power plants =<br />
<br />
For energy model it is useful to know the following data, in rough order of priority<br />
<br />
*Plant primary energy (coal/gas/wind/solar/nuclear/hydro etc.)<br />
*Net electrical output capacity (MW)<br />
*Gross electrical output capacity (MW)<br />
*Operational status (in operation, in planning, out of service, etc.)<br />
*Build date<br />
*Efficiency<br />
*Marginal cost<br />
*CO2 emissions in tonnes CO2 per MWh<br />
*Operator name<br />
*Owner name<br />
*Historical data on output/carbon emissions<br />
*Whether it provides heat output<br />
*If heat output: Thermal output capacity (MWth) and dispatch strategy<br />
*Cooling method<br />
<br />
= Datasets by region =<br />
<br />
== Global ==<br />
<br />
=== Enipedia ===<br />
<br />
[http://enipedia.tudelft.nl/wiki/Portal:Power_Plants http://enipedia.tudelft.nl/wiki/Portal:Power_Plants]<br />
<br />
Enpedia was initially based on CARMA, but also pulls in data from Wikipedia and user entries.<br />
<br />
=== Global Energy Observatory (GEO) ===<br />
<br />
[http://globalenergyobservatory.org/ http://globalenergyobservatory.org/]<br />
<br />
=== Carbon Monitoring for Action (CARMA) ===<br />
<br />
[http://carma.org/ http://carma.org/]<br />
<br />
=== industryAbout ===<br />
<br />
[http://www.industryabout.com/energy http://www.industryabout.com/energy]<br />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]<br />
<br />
=== OpenStreetMap ===<br />
<br />
The OpenStreetMap project has [http://wiki.openstreetmap.org/wiki/Tag:power=plant Tags for power plants]<br />
<br />
=== Wikipedia ===<br />
<br />
== Europe ==<br />
<br />
=== ENTSO-E Transparency Platform ===<br />
<br />
[https://transparency.entsoe.eu/generation/r2/installedCapacityPerProductionUnit/show [1]]<br />
<br />
All power plants above 100 MW in the ENTSO-E area should be listed, although data is missing from some countries.<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
=== Open Power System Data<br/> ===<br />
<br />
[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to European data sources on power plants as well as datasets on<br/><br />
<br />
*[http://data.open-power-system-data.org/conventional_power_plants Conventional power plants]<br />
*[http://data.open-power-system-data.org/renewable_power_plants Renewable power plants] and<br />
*[http://data.open-power-system-data.org/national_generation_capacity National Generation capacities]<br/><br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
=== Bundesnetzagentur for Germany (Germany's Network Regulator) ===<br />
<br />
The German grid regulator "Bundesnetzagentur" (Federal Network Agency) publishes and regularly updates a list of existing power plants feeding into the German grid (including units in Luxemburg, Austria and Switzerland that are connected to the German grid).<br />
<br />
In a separate document, also units that are subject to planned decommissioning or new construction are documented (minimum net power generation capacity: 10 MW).<br />
<br />
Further description (in German) and download in .xls and .csv format is available here:<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/Versorgungssicherheit/Erzeugungskapazitaeten/Kraftwerksliste/kraftwerksliste-node.html External Link]<br />
<br />
=== UBA Database of German Power Plants ===<br />
<br />
[http://www.umweltbundesamt.de/dokument/datenbank-kraftwerke-in-deutschland http://www.umweltbundesamt.de/dokument/datenbank-kraftwerke-in-deutschland]<br />
<br />
All plants above 100MW in Germany<br />
<br />
=== RENPASS ===<br />
<br />
[http://renpass.eu/ http://renpass.eu/]<br />
<br />
=== North-West EU 2020 Model ===<br />
<br />
This is an open access Excel database of a North-West European Power System for a sample year 2020. Data and files were collected and complied by researchers at University College Cork, Ireland.<br />
<br />
Simplified Power plant portfolios are contained in the *.rar file below &nbsp;[Master Dataset for Distribution]<br/><br />
<br />
An associated functioning PLEXOS model and database &nbsp;for teaching and academic research is also provided. The model and model data should be checked and verified by users before use. This current version has not been validated against historic data.<br/><br />
<br />
The PLEXOS model includes hourly wind profiles, demand profiles profiles, simplified power plant data, hourly solar profiles and NTC data for Interconnectors. There is &nbsp;a *.xml file [EU Model Carbon _30] which will function in the PLEXOS for Power Systems Software available from Energy Exemplar.<br/><br />
<br />
Any improvements/errors or suggestions on the data or model can be sent to Paul Deane [ jp.deane@ucc.ie]. This is a market model based on freely available data for the year 2020.<br/><br />
<br />
Please feel free to use as you wish.<br />
<br />
Files may be accessed here<br />
<br />
[[File:Master Dataset for Distribution.rar|180px|http://wiki.openmod-initiative.org/wiki/File:Master_Dataset_for_Distribution.rar|alt=http://wiki.openmod-initiative.org/wiki/File:Master_Dataset_for_Distribution.rar]]<br />
<br />
=== ELMOD ===<br />
<br />
Some of ELMOD, particularly for Germany is available (but just replicates the BNetzA list?).<br />
<br />
<br/><br />
<br />
= Other lists of datasets =<br />
<br />
== Open Power System Data List of European Network Operator Sites ==<br />
<br />
Many network operators/regulators have online datasets, see the [http://open-power-system-data.org/data-sources#Other_European_countries OPSD list of European countries with power plant databases].<br />
<br />
<br/><br />
<br />
= Projects to improve power plant datasets =<br />
<br />
== powerplantmatching (PPM) ==<br />
<br />
A toolset for cleaning, standardizing and combining multiple power plant databases. This package provides '''ready-to-use power plant data for the European power system'''. It cleans, standardizes and merges several input databases and creates a new dataset, which includes all the important information. The package allows to easily update the combined data as soon as new input datasets are released.<br />
<br />
It is entirely ''free-and-open-source software'' (FOSS) and ready-to-download available at [https://doi.org/10.1016/j.esr.2018.08.012 GitHub].<br />
<br />
The application of the toolset has been '''broadly tested and peer-reviewed''' in these two papers here [https://doi.org/10.1016/j.esr.2018.11.004 here] and [https://doi.org/10.1016/j.esr.2018.08.012 here].<br />
<br />
Currently, the toolset is constantly being improved, please feel free to get in touch!<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Enipedia ==<br />
<br />
Enipedia has a nice [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets list of energy and industry data sets]<br />
<br />
Enipedia's [http://enipedia.tudelft.nl/Elasticsearch.html Elastic Search] can search most of the open databases - the challenge is to match the different databases, combine their information and identify missing data (e.g. in the Balkans).<br />
<br />
== World Resources Institute's Power Watch ==<br />
<br />
* [https://drive.google.com/file/d/0BwUQWBXdq2MAUGd1U0pHa2R2aG8/view?usp=sharing One page project description]<br />
* [https://drive.google.com/open?id=0BwUQWBXdq2MAQ1Zqb1NrdXZhUkk Power Watch Map]<br />
* [https://docs.google.com/presentation/d/1ogMlk9XuRiY1FOQ4vAnvtwdjkdpe51oYjNP8iqJzfKU/edit?usp=sharing Introductory presentation]<br />
* [https://docs.google.com/document/d/1tK4-q1h8JZj8hM5SKb3ySX6E38pfS6oggk2X8KDrTB0/edit Database Documentation]<br />
* [https://github.com/wri/powerwatch Github Repo]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Storage_technology_assumptions_and_projectionsStorage technology assumptions and projections2019-01-14T19:42:29Z<p>Fabian Neumann: Created page with "*A model for Levelized Cost of Storage (similar to LCOE) for 9 technologies in 12 applications from 2015 to 2050 with the option to vary own assumptions on costs, performance ..."</p>
<hr />
<div>*A model for Levelized Cost of Storage (similar to LCOE) for 9 technologies in 12 applications from 2015 to 2050 with the option to vary own assumptions on costs, performance parameters and application requirements: [http://www.EnergyStorage.ninja www.EnergyStorage.ninja].</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:24:38Z<p>Fabian Neumann: /* Natural Gas Infrastructure */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
<br />
== Europe ==<br />
<br />
=== Natural Gas Demand ===<br />
Consumption of EU countries: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip]<br />
<br />
=== Natural Gas Supply ===<br />
<br />
Production of EU countries: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip]<br />
<br />
<br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
[http://www.topandtail.org.uk/publications/O.Ogunbunmi.pdf Simplification of the European Gas Network] by Cardiff University (Data only on PDF)<br />
<br />
==== Pipelines ====<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:24:12Z<p>Fabian Neumann: /* Natural Gas Infrastructure */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
<br />
== Europe ==<br />
<br />
=== Natural Gas Demand ===<br />
Consumption of EU countries: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip]<br />
<br />
=== Natural Gas Supply ===<br />
<br />
Production of EU countries: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip]<br />
<br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
[http://www.topandtail.org.uk/publications/O.Ogunbunmi.pdf Simplification of the European Gas Network] by Cardiff University<br />
<br />
==== Pipelines ====<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:19:58Z<p>Fabian Neumann: /* Europe */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
<br />
== Europe ==<br />
<br />
=== Natural Gas Demand ===<br />
Consumption of EU countries: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip]<br />
<br />
=== Natural Gas Supply ===<br />
<br />
Production of EU countries: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex C.zip]<br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
Capacities in Europe: [https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:19:06Z<p>Fabian Neumann: /* Natural Gas Supply */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
<br />
=== Natural Gas Demand ===<br />
<br />
Consumption of EU countries: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex%20C.zip<br />
<br />
<br />
<br />
=== Natural Gas Supply ===<br />
<br />
Production of EU countries: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex%20C.zip<br />
<br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
<br />
==== Pipelines ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:18:38Z<p>Fabian Neumann: /* Natural Gas Demand */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
<br />
=== Natural Gas Demand ===<br />
<br />
Consumption of EU countries: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/Annex%20C.zip<br />
<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
<br />
==== Pipelines ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:15:38Z<p>Fabian Neumann: /* Storages */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
<br />
==== Pipelines ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:15:06Z<p>Fabian Neumann: /* Pipelines */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
<br />
==== Pipelines ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:14:33Z<p>Fabian Neumann: /* LNG */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
<br />
==== LNG ====<br />
<br />
Capacities in Europe: https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:14:00Z<p>Fabian Neumann: /* Storages */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
==== LNG ====<br />
<br />
ToDo<br />
<br />
<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:13:38Z<p>Fabian Neumann: /* Storages */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
==== LNG ====<br />
<br />
ToDo<br />
<br />
<br />
==== Storages ====<br />
<br />
[https://agsi.gie.eu/#/ Live data on capacities in Europe]<br />
<br />
[https://www.entsog.eu/public/uploads/files/publications/TYNDP/2017/entsog_tyndp_2017_Annex_D_Capacities.xlsx]<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:09:55Z<p>Fabian Neumann: Undo revision 13021 by Fabian Neumann (talk)</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
==== LNG ====<br />
<br />
ToDo<br />
<br />
==== Storages ====<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br/><br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:07:55Z<p>Fabian Neumann: /* Modelling issues */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
==== LNG ====<br />
<br />
ToDo<br />
<br />
==== Storages ====<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
<math>f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<\math><br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:05:15Z<p>Fabian Neumann: /* Germany */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
==== LNG ====<br />
<br />
ToDo<br />
<br />
==== Storages ====<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-24T16:04:44Z<p>Fabian Neumann: /* Modelling issues */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
==== LNG ====<br />
<br />
ToDo<br />
<br />
==== Storages ====<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-24T15:49:06Z<p>Fabian Neumann: /* Interactive data visualizations */</p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
<br/><br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br/><br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
<br />
<br />
<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer IEE<br />
*[https://www.entsoe.eu/data/map/ Interactive Power Transmission Grid Map] by ENTSO-E<br />
*[https://transparency.entsog.eu/ Interactive Gas Transmission Grid Map] by ENTSO-G<br />
*[https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false Electricity Map] shows the current carbon intensity of electricity consumed/produced.<br />
*[https://www.agora-energiewende.de/en/service/recent-electricity-data/chart/matrix/19.09.2017/19.09.2018/ Recent Electricity Data] by Agora Energiewende (English and German)<br />
*[https://globalwindatlas.info/ Global Wind Atlas] by Technical University of Denmark<br />
*[https://globalsolaratlas.info/ Global Solar Atlas] by the World Bank Group<br />
*[https://www.epexspot.com/en/market-data/dayaheadauction/chart/auction-chart/ EPEX Spot Day Ahead Auction]<br />
<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-24T15:48:36Z<p>Fabian Neumann: /* Interactive data visualizations */</p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
<br/><br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br/><br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
<br />
<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer IEE<br />
*[https://www.entsoe.eu/data/map/ Interactive Transmission Grid Map] by ENTSO-E<br />
*[https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false Electricity Map] shows the current carbon intensity of electricity consumed/produced.<br />
*[https://www.agora-energiewende.de/en/service/recent-electricity-data/chart/matrix/19.09.2017/19.09.2018/ Recent Electricity Data] by Agora Energiewende (English and German)<br />
*[https://globalwindatlas.info/ Global Wind Atlas] by Technical University of Denmark<br />
*[https://globalsolaratlas.info/ Global Solar Atlas] by the World Bank Group<br />
*[https://www.epexspot.com/en/market-data/dayaheadauction/chart/auction-chart/ EPEX Spot Day Ahead Auction]<br />
*[https://transparency.entsog.eu/ Interactive Gas Transmission Grid Map] by ENTSO-G<br />
<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Gas_network_datasetsGas network datasets2018-11-22T13:41:01Z<p>Fabian Neumann: /* List of Gas Models */</p>
<hr />
<div><br />
= Introduction<br/> =<br />
<br />
Here datasets and modelling issues for the long-distance transport of natural gas are listed.<br />
<br />
= Gas network datasets by region<br/> =<br />
<br />
== Germany ==<br />
<br />
[https://www.bdew.de/internet.nsf/id/8DFFSL-DE_Grafiken BDEW maps]<br />
<br />
[http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de DIW Data Documentation 92] "Electricity, Heat and Gas Sector Data for Modelling the German System"<br />
<br />
[http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/NetzentwicklungundSmartGrid/Gas/NEP_Gas2016/NEP_Gas2016_node.html German Network Development Plan (NEP) for Gas 2016-2026]<br />
<br />
[https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf PhD Thesis of Jessica Rövekamp] contains German data<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Europe<br/> ==<br />
<br />
<br/><br />
<br />
=== Natural Gas Demand ===<br />
<br />
ToDo<br />
<br />
=== Natural Gas Supply ===<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
=== Natural Gas Infrastructure ===<br />
<br />
[http://www.gie.eu/ Gas Infrastructure Europe]<br/><br />
<br />
[http://www.entsog.eu/maps/transmission-capacity-map ENTSO-G capacities and maps]<br/><br />
<br />
[http://www.vge.de/wandkarten.aspx VGE European and German gas maps]<br />
<br />
==== Pipelines ====<br />
<br />
ToDo<br />
<br />
==== LNG ====<br />
<br />
ToDo<br />
<br />
==== Storages ====<br />
<br />
ToDo<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
= Modelling issues =<br />
<br />
Compressibility, line pack (i.e. storage inside pipes), gas consumption of compressors, daily modelling, Gross Calorific Value (GCV), storage, LNG transport<br />
<br />
Compressors are needed to maintain pressure throughout the network. They are typically stationed every 90 km to 150 km in the long-distance network, sometimes up to every 400 km for international routes [Rövekamp]. Onshore long-distance pipelines have a diameter of 0.4 to 1.4 meters and pressures up to 100 bar [Rövekamp]. The compressors can consume up to 5-10% of the transported gas (0.3% per 150 km? citation needed).<br />
<br />
It's apparently hard to measure exactly what is flowing at any one time in the network; often only daily flows are modelled or reported.<br />
<br />
The [http://petrowiki.org/Pressure_drop_evaluation_along_pipelines#Weymouth_equation Weymouth equation] is an approximation used to calculate the flow in the pipe based on the pressures at either end. It is generally used for high-Reynolds-number flows where the Moody friction factor is merely a function of relative roughness.<br />
<br />
The relation between pressures p_{m,n} at m,n and flow f_{mn} is given by:<br />
<br />
f_{mn} = sgn(p_m,p_n) C_{mn} \sqrt{|p_m^2 - p_n^2|}<br />
<br />
where sgn(p_m,p_n) =1 if p_m \geq p_n and sgn(p_m,p_n) = -1 if p_m < p_n.<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br />
<br />
<br />
<br />
<br />
= List of Gas Models =<br />
<br />
*COLUMBUS<ref>COLUMBUS http://www.ewi.research-scenarios.de/de/modelle/columbus/</ref><br />
*EUGAS<ref>EUGAS http://www.ewi.uni-koeln.de/fileadmin/user_upload/Publikationen/Working_Paper/EWI_WP_05-01_Forecasting-European-Gas-Supply.pdf</ref><br />
*[[GAMAMOD|GAMAMOD]]<br />
*GaMMES<ref>GaMMES http://www.cgemp.dauphine.fr/fileadmin/mediatheque/centres/cgemp/conference%20programmes/Massol_et_al._2013.pdf</ref><br />
*GASMOD<ref>GASMOD http://www.diw.de/sixcms/detail.php?id=diw_02.c.231874.de</ref><br />
*GASTALE<ref>GASTALE https://www.ecn.nl/publications/PdfFetch.aspx?nr=ECN-R--03-001</ref><br />
*GGM (Global Gas Model)<ref>GGM https://www.diw.de/documents/publikationen/73/diw_01.c.417156.de/dp1273.pdf</ref><br />
*MAGELAN<br />
*MYNTS-Gas <ref name="https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf">MYTNS Model https://www.scai.fraunhofer.de/content/dam/scai/de/documents/Mediathek/Produktblaetter/HPA_MYNTS_OptimiertTransportnetzeFuerElektrizitaet_GasUndWasser.pdf</ref><br />
*NATGAS<br />
*S-GASTALE<br />
*TIGER<br />
*WGM (The World Gas Model)<ref>WGM https://www.diw.de/sixcms/detail.php?id=diw_01.c.358051.de</ref><br />
*[https://github.com/lanl-ansi/GasModels.jl GasModels.jl] in Julia<br />
<br />
<br/><br />
<br />
<br />
= Publications<br/> =<br />
<br />
== Gas Network Modelling<br/> ==<br />
<br />
*European Climate Foundation [https://europeanclimate.org/energy-union-choices-a-perspective-on-infrastructure-and-energy-security-in-the-transition/ Energy Union Choices: A Perspective on Infrastructure and Energy Security in the Transition], Report, 2016<br/><br />
*Geidl, M. and Andersson G. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.5417&rep=rep1&type=pdf Optimal Power Flow of Multiple Energy Carriers] IEEE Transactions on Power Systems, 22(1), 2007<br />
*Hauser, P.; Hobbie, H.; Möst, D. [http://ieeexplore.ieee.org/document/7981942/ Resilience in the German Natural Gas Network: Modelling Approach for a High-Resolution Natural Gas System]''',''' 14th International Conference on the European Energy Market, IEEE Xplore<br />
*Kunz, F.; Kendziorski, M.; Schill, W.; Weibezahn, J.; Zepter, J. von Hirschhausen, C.; Hauser, P.; Zech, M.; Möst, D.; Heidari, S.; Felten, J.; Weber, C.: [http://www.diw.de/sixcms/detail.php?id=diw_01.c.574115.de Electricity, Heat and Gas Sector Data for Modelling the German System], Data Documentation, 2017<br />
*Neumann, A., Rosellón, J. & Weigt, H. [http://link.springer.com/article/10.1007/s11067-014-9273-3 Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism] Networks and Spatial Economics, March 2015, Volume 15, Issue 1, pp 149–181, [https://www.diw.de/documents/publikationen/73/diw_01.c.376700.de/dp1145.pdf DIW Working Paper]<br />
*Rövekamp, J. [https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/Document_derivate_00000154/Db112168.pdf Transportnetzberechnung zur Feststellung der Erdgasversorgungssicherheit in Deutschland unter regulatorischem Einfluss] - PhD Thesis, 2014, TU Clausthal - the references give a good literature overview<br/><br/><br />
<br />
<br/><br />
<br />
== Linearised Weymouth equations ==<br />
<br />
*Kjetil T. Midthun, Mette Bjørndal and Asgeir Tomasgard [http://www.jstor.org/stable/41323248 Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks], The Energy Journal, Vol. 30, No. 4 (2009), pp. 155-180<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
== Coupling gas-electricity<br/> ==<br />
<br />
*Abrell, J., Gerbaulet, C., Holz, F., Lorenz, C., and Weigt, H. [http://www.diw.de/documents/publikationen/73/diw_01.c.425843.de/dp1317.pdf Combining Energy Networks The Impact of Europe's Natural Gas Network on Electricity Markets until 2050], 2013 DIW Working Paper<br/><br />
*Abrell, J., Weigt, H. [https://wwz.unibas.ch/uploads/tx_x4epublication/Combined_dynamic_Abrell_Weigt_2014.05.pdf Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity] WWZ Discussion Paper 2014/05<br/><br />
*Arnold, M. and Andersson, G. [https://www.eeh.ee.ethz.ch/uploads/tx_ethpublications/Arnold_DecomposedElectricityandNaturalGasOPF.pdf Decomposed Electricity and Natural Gas Optimal Power]<br/><br />
*Hürrenrauch et al. (2017)<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/iiesi_102_mccalley1.pdf Integrated Energy System: Co-optimization & Design Issues (Presentation)]<br/><br />
*McCalley, J. (2015) [http://iiesi.org/assets/pdfs/101_mccalley_2.pdf Gas-Electricity Nexus (Presentation)]<br />
<br />
<br />
<br />
= References<br/> =<br />
<br />
<references /><br />
<br />
<br/><br/></div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Demographic_and_socio-economic_dataDemographic and socio-economic data2018-11-18T11:24:05Z<p>Fabian Neumann: </p>
<hr />
<div>*[https://data.worldbank.org/ World Bank Open Data]<br />
*[https://data.oecd.org/ OECD Data]<br />
*[http://fundforpeace.org/fsi/ Fragile States Index]<br />
*[https://www.standardandpoors.com/en_US/web/guest/home Standard and Poor's Credit Ratings]<br />
<br />
(TODO: population trends, GDP trends, discount rates, acceptance of low-carbon technologies)</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-18T11:21:30Z<p>Fabian Neumann: /* Interactive data visualizations */</p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
<br/><br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br/><br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer IEE<br />
*[https://www.entsoe.eu/data/map/ Interactive Transmission Grid Map] by ENTSO-E<br />
*[https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false Electricity Map] shows the current carbon intensity of electricity consumed/produced.<br />
*[https://www.agora-energiewende.de/en/service/recent-electricity-data/chart/matrix/19.09.2017/19.09.2018/ Recent Electricity Data] by Agora Energiewende (English and German)<br />
*[https://globalwindatlas.info/ Global Wind Atlas] by Technical University of Denmark<br />
*[https://globalsolaratlas.info/ Global Solar Atlas] by the World Bank Group<br />
*[https://www.epexspot.com/en/market-data/dayaheadauction/chart/auction-chart/ EPEX Spot Day Ahead Auction]<br />
<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-18T11:17:07Z<p>Fabian Neumann: /* Interactive data visualizations */</p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
<br/><br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br/><br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer IEE<br />
*[https://www.entsoe.eu/data/map/ Interactive Transmission Grid Map] by ENTSO-E<br />
*[https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false Electricity Map] shows the current carbon intensity of electricity consumed/produced.<br />
*[https://www.agora-energiewende.de/en/service/recent-electricity-data/chart/matrix/19.09.2017/19.09.2018/ Recent Electricity Data] by Agora Energiewende (English and German)<br />
*[https://globalwindatlas.info/ Global Wind Atlas] by Technical University of Denmark<br />
*[https://globalsolaratlas.info/ Global Solar Atlas] by the World Bank Group<br />
<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-18T11:15:51Z<p>Fabian Neumann: /* Interactive data visualizations */</p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
<br/><br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br/><br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer IEE<br />
*[https://www.entsoe.eu/data/map/ Interactive Transmission Grid Map] by ENTSO-E<br />
*[https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false Electricity Map]<br />
*[https://www.agora-energiewende.de/en/service/recent-electricity-data/chart/matrix/19.09.2017/19.09.2018/ Recent Electricity Data] by Agora Energiewende (English and German)<br />
* [https://globalwindatlas.info/ Global Wind Atlas] by Technical University of Denmark<br />
* [https://globalsolaratlas.info/ Global Solar Atlas] by the World Bank Group<br />
<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Demographic_and_socio-economic_dataDemographic and socio-economic data2018-11-18T11:13:59Z<p>Fabian Neumann: </p>
<hr />
<div><br />
* [https://data.worldbank.org/ World Bank Open Data]<br />
* [https://data.oecd.org/ OECD Data]<br />
* [http://fundforpeace.org/fsi/ Fragile States Index]<br />
* [https://www.standardandpoors.com/en_US/web/guest/home Standard and Poor's Credit Ratings]<br />
<br />
(TODO: population trends, GDP trends, discount rates.)</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Environmental_data_and_regulationsEnvironmental data and regulations2018-11-18T11:09:38Z<p>Fabian Neumann: </p>
<hr />
<div><br />
= General =<br />
<br />
https://www.eea.europa.eu/data-and-maps/<br />
<br />
= Biodiversity =<br />
<br />
= Health impacts =<br />
<br />
= Water extraction and use =<br />
<br />
[http://www.fao.org/nr/water/aquastat/data/query/results.html http://www.fao.org/nr/water/aquastat/data/query/results.html]<br />
<br />
= Emission factors =</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-18T11:07:41Z<p>Fabian Neumann: </p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
<br/><br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br/><br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
= Interactive data visualizations =<br />
<br />
* [https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer IEE<br />
* [https://www.entsoe.eu/data/map/ Interactive Transmission Grid Map] by ENTSO-E<br />
* [https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false Electricity Map]<br />
* [https://www.agora-energiewende.de/en/service/recent-electricity-data/chart/matrix/19.09.2017/19.09.2018/ Recent Electricity Data] by Agora Energiewende (English and German)<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Environmental_data_and_regulationsEnvironmental data and regulations2018-11-18T10:57:32Z<p>Fabian Neumann: </p>
<hr />
<div><br />
= Biodiversity =<br />
<br />
= Health impacts =<br />
<br />
= Water extraction and use =<br />
<br />
http://www.fao.org/nr/water/aquastat/data/query/results.html<br />
<br />
= Emission factors =</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Historical_data_and_profilesHistorical data and profiles2018-11-18T10:48:54Z<p>Fabian Neumann: </p>
<hr />
<div><br />
= Load profiles =<br />
<br />
= Generation profiles =<br />
<br />
== Wind profiles ==<br />
<br />
[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical wind generation time series]<br />
<br />
<br/><br />
<br />
== Solar profiles ==<br />
<br />
[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical solar generation time series]<br />
<br />
<br/><br />
<br />
= Emissions =<br />
<br />
= Market prices =<br />
<br />
There is a crawler in R for data on the EPEX / EEX spot market: https://github.com/wagnertimo/emarketcrawlR</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Environmental_data_and_regulationsEnvironmental data and regulations2018-11-17T22:57:03Z<p>Fabian Neumann: </p>
<hr />
<div><br />
= Biodiversity =<br />
<br />
= Health impacts =<br />
<br />
= Water extraction and use =<br />
<br />
= Emission factors =</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Environmental_data_and_regulationsEnvironmental data and regulations2018-11-17T22:56:50Z<p>Fabian Neumann: Created page with " = Biodiversity = = Health impacts = = Water extraction and use =&nbsp; = Emission factors = "</p>
<hr />
<div><br />
= Biodiversity =<br />
<br />
= Health impacts =<br />
<br />
= Water extraction and use =&nbsp; <br />
<br />
= Emission factors =</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-17T22:55:32Z<p>Fabian Neumann: /* Open data sources for energy modelling */</p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]]<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Environmental data and regulations|Environmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-17T22:54:29Z<p>Fabian Neumann: </p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]] (efficiencies or specific consumptions of end-use technologies (e.g. vehicles [litres/km], etc.))<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Envionmental data and regulations|Envionmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy Scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
<br />
= Other lists of energy-related open datasets =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/DataData2018-11-17T22:52:35Z<p>Fabian Neumann: /* Data organization ideas */</p>
<hr />
<div><br />
This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets. You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.<br/><br />
<br />
= Open data sources for energy modelling =<br />
<br />
Open datasets related to energy are listed here by type.<br />
<br />
== Demand ==<br />
<br />
=== Electricity demand ===<br />
<br />
See [[Electricity demand|Electricity demand]]<br />
<br />
=== Thermal demand ===<br />
<br />
See [[Thermal demand|Thermal demand]]<br />
<br />
=== Transport demand ===<br />
<br />
See [[Transport demand|Transport demand]]<br />
<br />
=== Industrial demand ===<br />
<br />
See [[Industrial demand|Industrial demand]]<br />
<br />
== Power Plants ==<br />
<br />
See [[Power plant portfolios|Power plant portfolios]]<br />
<br />
== Weather Data ==<br />
<br />
See [[Weather data|Weather data]]<br />
<br />
== Resources and Potentials ==<br />
<br />
=== Wind profiles ===<br />
<br />
OPSD summaries [http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series European historical wind generation time series]<br />
<br />
=== Solar profiles ===<br />
<br />
OPSD summaries [http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series European historical solar generation time series]<br />
<br />
=== Wind geographical potentials ===<br />
<br />
See [[Wind geographical potentials|Wind geographical potentials]]<br />
<br />
=== Biomass potentials ===<br />
<br />
See [[Biomass potentials|Biomass potentials]]<br />
<br />
=== Hydroelectricity data ===<br />
<br />
See [[Hydroelectricity data|Hydroelectricity data]]<br />
<br />
== Networks ==<br />
<br />
=== Electricity transmission network datasets ===<br />
<br />
See [[Transmission network datasets|Transmission network datasets]]<br />
<br />
=== Electricity distribution network datasets ===<br />
<br />
See [[Distribution network datasets|Distribution network datasets]]<br />
<br />
=== Gas network datasets ===<br />
<br />
See [[Gas network datasets|Gas network datasets]]<br />
<br />
== Technology assumptions (costs, efficiencies, lifetimes) ==<br />
<br />
See [[Technology assumptions|Technology assumptions]]<br />
<br />
== Efficiencies and specific consumptions of end-use technologies ==<br />
<br />
TODO: Efficiencies or specific consumptions of end-use technologies (e.g. vehicles [litres/km], etc.)<br />
<br />
== Demographic and Socio-Economic Data ==<br />
<br />
TODO: population trends, GDP trends, discount rates.<br />
<br />
== Environmental data ==<br />
<br />
TODO: biodiversity, health impacts, water extraction, water use, emission factors.<br />
<br />
== Historical data ==<br />
<br />
TODO: historical data on load, generation, emissions, market prices, etc.<br />
<br />
== Prospective data ==<br />
<br />
Energy scenarios (e.g. for results comparison):<br />
<br />
*Canada:[https://www.neb-one.gc.ca/nrg/ntgrtd/ftr/2017/pblctn-eng.html Canada’s Energy Future 2017: Energy Supply and Demand Projections to 2040]<br />
*Chile: [http://pelp.minenergia.cl/informacion-del-proceso/resultados Proceso de Planificación Energética de Largo Plazo]<br />
*Denmark, Finland, Norway and Sweden:[http://www.nordicenergy.org/project/nordic-energy-technology-perspectives/ Nordic Energy Technology Perspectives 2016]<br />
*EU-28: [https://ec.europa.eu/energy/en/data-analysis/energy-modelling EU Reference Scenario 2016]<br />
*US: [https://www.eia.gov/outlooks/aeo/ Annual Energy Outlook 2018]<br />
<br />
TODO: projections on parameters and technology costs.<br />
<br />
== Country-specific policies and targets<br/> ==<br />
<br />
Greenhousegas (GHG) reduction targets:<br/><br />
<br />
*UNFCCC [http://www4.unfccc.int/submissions/indc/Submission Pages/submissions.aspx [1]]<br/><br />
*Worldbank [http://spappssecext.worldbank.org/sites/indc/Pages/Mitigation.aspx [2]]<br/><br />
*Kyoto Targets [https://www.c2es.org/international/history-international-negotiations/2020-targets [3]]<br/><br />
<br />
<br/><br />
<br />
RES shares, sector-specific targets, subsidies and feed-in-tariffs:<br/><br />
<br />
*IEA Policies and Measures [https://www.iea.org/policiesandmeasures [4]]<br/><br />
*European Commission National Action Plans [https://ec.europa.eu/energy/en/topics/renewable-energy/national-action-plans [5]]<br/><br />
*RES Legal [http://www.res-legal.eu [6]]<br/><br />
<br />
<br/><br />
<br />
TODO: Criteria for power plant siting (e.g. exclusion zones for wind turbines).<br/><br />
<br />
= Other lists of energy-related open datasets<br/> =<br />
<br />
*The Wikipedia article [https://en.wikipedia.org/wiki/Open_energy_system_databases open energy system databases] lists some of the portals serving open energy system datasets.<br />
*[http://datahub.io/dataset?q=energy datahub.io category "Energy"] has more datasets.<br />
*[http://energypedia.info/ Energypedia] is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation. *[http://enipedia.tudelft.nl/ Enipedia (TU Delft)] is an active exploration into the applications of wikis and the semantic web for energy and industry issues. An extensive compilation of links to other data sources can be found at [http://enipedia.tudelft.nl/wiki/Energy_and_Industry_Data_Sets Energy and Industry Data Sets] and [http://enipedia.tudelft.nl/wiki/Electricity_Transmission_Network Electricity_Transmission Network].<br />
<br />
*[https://www.europeandataportal.eu/ European Data Portal]<br />
*[http://www.iea-etsap.org/web/E-techDS.asp IEA ETSAP energy technology data source (E-Tech-DS)] is a series of four-page technology briefs similar to the [https://www.iea.org/publications/freepublications/ IEA Energy Technology Essentials (filter for "essentials")]. The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.<br />
*[http://www.iaee.org/en/EnergyDataLinks/ International Association of Energy Economists (IAEE) Energy Data Links (EDL)] provides a searchable database of energy-related resources<br />
*[http://en.openei.org/ OpenEI] features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.<br />
*[https://oep.iks.cs.ovgu.de/dataedit/ OpenEnergy Database] was started with the requirements gathered in the first openmod meetings and was developed completely open with support of the openmod community. Input and result data from research of energy system studies are available via an API. The OEDB provides some automated visualisations of the available data.<br />
*[http://open-power-system-data.org/data-sources Open Power System Data] has an extensive collection of links to data sources (Electricity consumption, Capacity and generation by fuel, Power plant data, Hydro power data, Prices and related data, Weather data, Wind and solar power time series, Country-specific data portals).<br />
*[http://www.ourenergypolicy.org/resource-library/ OurEnergyPolicy.org Resource Library]&nbsp;is a free online energy resource library updated weekly.<br />
*[http://www.pfbach.dk/ PFBach.dk], a collection of wind and solar in-feed profiles<br />
*[http://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.<br />
<br />
<br/><br />
<br />
= Data sharing techniques =<br />
<br />
The Open Knowledge foundation promotes the use of its '''[http://data.okfn.org/ data package]''' standard. It consists of using CSV for payload (data) and a file package.json to attach machine-readable metadata. The page links to many examples of existing, curated and maintained datasets that adhere to this standard. Additionally, they drive the creation of a software ecosystem that can create and digest this format. Due to its simplicity, using data packages does not depend on this ecosystem.<br />
<br />
'''GitHub repositories''' are another pragmatic way of sharing "small" (up to about 10 MB) datasets. A fun example is the [http://bundestag.github.io/gesetze/ Bundesgit], a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository [https://github.com/openmundi/world.db openmundi/world.db] shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.<br />
<br />
An upcoming and (technically) promising project is '''[http://dat-data.com/ dat]''', which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.<br />
<br />
<br/><br />
<br />
= Help finding energy data =<br />
<br />
You can find a list of the latest questions on energy data sources on StackExchange: [http://opendata.stackexchange.com/questions/tagged/energy http://opendata.stackexchange.com/questions/tagged/energy]<br />
<br />
<br/><br />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].<br />
<br />
*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]<br />
*[http://www.open-power-system-data.org Open Power System Data] developed a data platform with open source scripts (based on Python and Jupyter Notebooks) for data on generation capacities, power plants, load timeseries and weather data. Project running until 07/2017. The public version of the data platform was released 10/2016.<br />
<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-city.census.okfn.org/ http://us-city.census.okfn.org/] might be useful for mapping out what types of data are available where.<br />
<br />
*Demand<br />
**[[Electricity demand|Electricity demand]]<br />
**[[Thermal demand|Thermal demand]]<br />
**[[Transport demand|Transport demand]]<br />
**[[Industrial demand|Industrial demand]]<br />
<br />
*Resources and Potentials<br />
**[[Weather data|Weather data and availability of renewable energy]]<br />
**[[Wind geographical potentials|Wind geographical potentials]]<br />
**[[Biomass potentials|Biomass potentials]]<br />
**[[Hydroelectricity data|Hydroelectricity potentials]]<br />
<br />
*Networks<br />
**[[Transmission network datasets|Electricity transmission network datasets]]<br />
**[[Distribution network datasets|Electricity distribution network datasets]]<br />
**[[Gas network datasets|Gas network datasets]]<br />
<br />
*Technologies<br />
**[[Power plant portfolios|Power plants]]<br />
**[[Technology assumptions|Generation technology assumptions and projections]]<br />
**[[Storage technology assumptions and projections|Storage technology assumptions and projections]]<br />
**[[End-use technology assumptions and projections|End-use technology assumptions and projections]] (efficiencies or specific consumptions of end-use technologies (e.g. vehicles [litres/km], etc.))<br />
<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<br />
<br />
*[[Envionmental data and regulations|Envionmental data and regulations]]<br />
<br />
*[[Historical data and profiles|Historical data and profiles]]<br />
<br />
*[[Energy Scenarios|Energy Scenarios]]<br />
<br />
*[[Country-specific targets and policies|Country-specific targets and policies]]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Country-specific_targets_and_policiesCountry-specific targets and policies2018-11-17T22:51:21Z<p>Fabian Neumann: </p>
<hr />
<div><br />
= Greenhousegas (GHG) reduction, RES shares, and sector-specific targets =<br />
<br />
*[http://www4.unfccc.int/submissions/indc/Submission_Pages/submissions.aspx UNFCCC]<br />
*[http://spappssecext.worldbank.org/sites/indc/Pages/Mitigation.aspx Worldbank]<br />
*[https://www.c2es.org/international/history-international-negotiations/2020-targets Kyoto Targets]<br />
<br />
= Subsidies and feed-in-tariffs =<br />
<br />
*[https://www.iea.org/policiesandmeasures IEA Policies and Measures]<br />
*[https://ec.europa.eu/energy/en/topics/renewable-energy/national-action-plans European Commission National Action Plans]<br />
*[http://www.res-legal.eu RES Legal]<br />
<br />
= Criteria for power plant siting =<br />
<br />
*e.g. exclusion zones for wind turbines</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Country-specific_targets_and_policiesCountry-specific targets and policies2018-11-17T22:50:46Z<p>Fabian Neumann: </p>
<hr />
<div><br />
= Greenhousegas (GHG) reduction, RES shares, and sector-specific targets =<br />
<br />
*[http://www4.unfccc.int/submissions/indc/Submission Pages/submissions.aspx UNFCCC]<br />
*[http://spappssecext.worldbank.org/sites/indc/Pages/Mitigation.aspx Worldbank]<br />
*[https://www.c2es.org/international/history-international-negotiations/2020-targets Kyoto Targets]<br />
<br />
= Subsidies and feed-in-tariffs =<br />
<br />
*[https://www.iea.org/policiesandmeasures IEA Policies and Measures]<br />
*[https://ec.europa.eu/energy/en/topics/renewable-energy/national-action-plans European Commission National Action Plans]<br />
*[http://www.res-legal.eu RES Legal]<br />
<br />
= Criteria for power plant siting =<br />
<br />
*e.g. exclusion zones for wind turbines</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Country-specific_targets_and_policiesCountry-specific targets and policies2018-11-17T22:49:34Z<p>Fabian Neumann: </p>
<hr />
<div><br />
= Greenhousegas (GHG) reduction, RES shares, and sector-specific targets =<br />
<br />
*UNFCCC [http://www4.unfccc.int/submissions/indc/Submission Pages/submissions.aspx [1]]<br />
*Worldbank [http://spappssecext.worldbank.org/sites/indc/Pages/Mitigation.aspx [2]]<br />
*Kyoto Targets [https://www.c2es.org/international/history-international-negotiations/2020-targets [3]]<br />
<br />
= Subsidies and feed-in-tariffs =<br />
<br />
*IEA Policies and Measures [https://www.iea.org/policiesandmeasures [4]]<br />
*European Commission National Action Plans [https://ec.europa.eu/energy/en/topics/renewable-energy/national-action-plans [5]]<br />
*RES Legal [http://www.res-legal.eu [6]]&lt;br/&gt;<br />
<br />
= Criteria for power plant siting =<br />
<br />
*e.g. exclusion zones for wind turbines</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Country-specific_targets_and_policiesCountry-specific targets and policies2018-11-17T22:49:10Z<p>Fabian Neumann: Created page with " = Greenhousegas (GHG) reduction, RES shares, and sector-specific targets = *UNFCCC [http://www4.unfccc.int/submissions/indc/Submission Pages/submissions.aspx [1]] *Worldbank..."</p>
<hr />
<div><br />
= Greenhousegas (GHG) reduction, RES shares, and sector-specific targets =<br />
<br />
*UNFCCC [http://www4.unfccc.int/submissions/indc/Submission Pages/submissions.aspx [1]]<br />
*Worldbank [http://spappssecext.worldbank.org/sites/indc/Pages/Mitigation.aspx [2]]<br />
*Kyoto Targets [https://www.c2es.org/international/history-international-negotiations/2020-targets [3]]<br />
<br />
= Subsidies and feed-in-tariffs =<br />
<br />
*IEA Policies and Measures [https://www.iea.org/policiesandmeasures [4]]&lt;br/&gt;<br/>*European Commission National Action Plans [https://ec.europa.eu/energy/en/topics/renewable-energy/national-action-plans [5]]&lt;br/&gt;<br/>*RES Legal [http://www.res-legal.eu [6]]&lt;br/&gt;<br />
<br />
= Criteria for power plant siting =<br />
<br />
* e.g. exclusion zones for wind turbines</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Energy_ScenariosEnergy Scenarios2018-11-17T22:46:01Z<p>Fabian Neumann: </p>
<hr />
<div>*Canada: [https://www.neb-one.gc.ca/nrg/ntgrtd/ftr/2017/pblctn-eng.html Canada’s Energy Future 2017: Energy Supply and Demand Projections to 2040]<br />
*Chile: [http://pelp.minenergia.cl/informacion-del-proceso/resultados Proceso de Planificación Energética de Largo Plazo]<br />
*Denmark, Finland, Norway and Sweden:[http://www.nordicenergy.org/project/nordic-energy-technology-perspectives/ Nordic Energy Technology Perspectives 2016]<br />
*EU-28: [https://ec.europa.eu/energy/en/data-analysis/energy-modelling EU Reference Scenario 2016]<br />
*US: [https://www.eia.gov/outlooks/aeo/ Annual Energy Outlook 2018]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Energy_ScenariosEnergy Scenarios2018-11-17T22:45:32Z<p>Fabian Neumann: Created page with " *Canada: [https://www.neb-one.gc.ca/nrg/ntgrtd/ftr/2017/pblctn-eng.html Canada’s Energy Future 2017: Energy Supply and Demand Projections to 2040]<br/>*Chile: [http://pelp...."</p>
<hr />
<div><br />
*Canada: [https://www.neb-one.gc.ca/nrg/ntgrtd/ftr/2017/pblctn-eng.html Canada’s Energy Future 2017: Energy Supply and Demand Projections to 2040]<br/>*Chile: [http://pelp.minenergia.cl/informacion-del-proceso/resultados Proceso de Planificación Energética de Largo Plazo]<br/>*Denmark, Finland, Norway and Sweden:[http://www.nordicenergy.org/project/nordic-energy-technology-perspectives/ Nordic Energy Technology Perspectives 2016]<br/>*EU-28: [https://ec.europa.eu/energy/en/data-analysis/energy-modelling EU Reference Scenario 2016]<br/>*US: [https://www.eia.gov/outlooks/aeo/ Annual Energy Outlook 2018]</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Historical_data_and_profilesHistorical data and profiles2018-11-17T22:44:10Z<p>Fabian Neumann: /* Solar profiles */</p>
<hr />
<div>= Load profiles =<br />
<br />
= Generation profiles =<br />
<br />
== Wind profiles ==<br />
[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical wind generation time series]<br />
<br />
<br />
== Solar profiles ==<br />
<br />
[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical solar generation time series]<br />
<br />
<br />
= Emissions =<br />
<br />
= Market prices =</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Historical_data_and_profilesHistorical data and profiles2018-11-17T22:43:57Z<p>Fabian Neumann: /* Generation profiles */</p>
<hr />
<div>= Load profiles =<br />
<br />
= Generation profiles =<br />
<br />
== Wind profiles ==<br />
[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical wind generation time series]<br />
<br />
== Solar profiles ==<br />
[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical solar generation time series]<br />
<br />
<br />
= Emissions =<br />
<br />
= Market prices =</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Historical_data_and_profilesHistorical data and profiles2018-11-17T22:43:37Z<p>Fabian Neumann: Created page with "= Load profiles = = Generation profiles = == Wind profiles ==<br/>[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical w..."</p>
<hr />
<div>= Load profiles =<br />
= Generation profiles =<br />
<br />
== Wind profiles ==<br/>[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical wind generation time series]<br />
<br />
== Solar profiles ==<br/>[http://open-power-system-data.org/data-sources#Wind_and_solar_power_time_series OPSD: European historical solar generation time series]<br />
<br />
= Emissions =<br />
<br />
= Market prices =</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Envionmental_data_and_regulationsEnvionmental data and regulations2018-11-17T22:41:13Z<p>Fabian Neumann: Created page with " TODO: biodiversity, health impacts, water extraction, water use, emission factors. "</p>
<hr />
<div><br />
TODO: biodiversity, health impacts, water extraction, water use, emission factors.</div>Fabian Neumannhttps://wiki.openmod-initiative.org/wiki/Demographic_and_socio-economic_dataDemographic and socio-economic data2018-11-17T22:40:32Z<p>Fabian Neumann: Created page with " TODO: population trends, GDP trends, discount rates. "</p>
<hr />
<div><br />
TODO: population trends, GDP trends, discount rates.</div>Fabian Neumann