https://wiki.openmod-initiative.org/api.php?action=feedcontributions&user=Antoine+Dubois&feedformat=atomwiki.openmod-initiative.org - User contributions [en]2024-03-28T16:22:17ZUser contributionsMediaWiki 1.19.7https://wiki.openmod-initiative.org/wiki/DataData2021-11-22T21:25:53Z<p>Antoine Dubois: </p>
<hr />
<div><br />
This is work in progress and is 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 />
<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 />
**[[Demand response|Demand response]]<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 />
*[[:File:Electricity prices|Electricity prices]]<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<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 />
*[[Openenergy-platform.org/|Open Energy Platform]] (OEP) and [https://openenergy-platform.org/dataedit/schemas Open Energy Database] (OEDB) was started with the requirements gathered in the first openmod meetings and was developed completely open with the 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, Hydropower 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 />
*[https://www.reeep.org/reegle-clean-energy-information-portal 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.&nbsp;<br />
*The [https://globalenergymonitor.org/ Global Energy Monitor] is a project that maintains trackers on global (i) coal plants, (ii) fossil infrastructure, (iii) coal mines, (iv) steel plants, and (v) the European gas infrastructure with a global gas plant tracker in development. The data underlying the several trackers can be requested.<br />
*[https://energydata.info/ https://energydata.info/] features a collection of almost 600 open energy-related datasets put together by the World Bank Group.<br />
*The [https://opendata.ffe.de/ FfE Open Data Portal] offers free datasets for modelling energy demand and generation with a regional focus on Europe and Germany.<br />
*"[https://deep.eefig.eu/ DEEP] [De-risking Energy Efficiency Platform] is an open-source database for energy efficiency investments performance monitoring and benchmarking."<br />
<br />
<br/><br />
<br />
= Data sharing techniques =<br />
<br />
The [https://okfn.org/ Open Knowledge Foundation]&nbsp;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 modifications 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 a 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 '''[https://dat.foundation/ 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 placing 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 time-series 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 />
*[https://github.com/OpenEnergyPlatform/open-MaStR open_MaStR] develop to download BNetzA Marktstammdatenregister powerplant data for Germany (AGPL-3.0)<br />
<br />
&nbsp;<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer ISE<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 />
*[https://wam.rl-institut.de/ WAM - Web Applications & Maps] by Reiner Lemoine Institut<br />
<br />
<br/><br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-cities.survey.okfn.org/ http://us-cities.survey.okfn.org/] might be useful for mapping out what types of data are available where.</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/DataData2021-11-22T21:24:11Z<p>Antoine Dubois: /* 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 (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 />
<br/><br />
<br />
<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 />
**[[Demand response|Demand response]]<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 />
*[[:File:Electricity prices|Electricity prices]]<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<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 />
<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 />
*[[Openenergy-platform.org/|Open Energy Platform]] (OEP) and [https://openenergy-platform.org/dataedit/schemas Open Energy Database] (OEDB) 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 />
*[https://www.reeep.org/reegle-clean-energy-information-portal 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.&nbsp;<br />
*The [https://globalenergymonitor.org/ Global Energy Monitor] is a project that maintains trackers on global (i) coal plants, (ii) fossil infrastructure, (iii) coal mines, (iv) steel plants, and (v) the European gas infrastructure with a global&nbsp; gas plant tracker in development. The data underlying the several trackers can be requested.<br />
*[https://energydata.info/ https://energydata.info/] features a collection of almost 600 open energy-related datasets put together by the World Bank Group.<br />
*The [https://opendata.ffe.de/ FfE Open Data Portal] offers free datasets for modelling energy demand and generation with a regional focus on Europe and Germany.<br />
*"[https://deep.eefig.eu/ DEEP] [De-risking Energy Efficiency Platform] is an open-source database for energy efficiency investments performance monitoring and benchmarking."<br />
<br />
<br/><br />
<br />
<br />
= Data sharing techniques =<br />
<br />
The [https://okfn.org/ Open Knowledge Foundation]&nbsp;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 modifications 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 a 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 '''[https://dat.foundation/ 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 />
= 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 />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or placing 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 time-series 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 />
*[https://github.com/OpenEnergyPlatform/open-MaStR open_MaStR] develop to download BNetzA Marktstammdatenregister powerplant data for Germany (AGPL-3.0)<br />
<br />
&nbsp;<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer ISE<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 />
*[https://wam.rl-institut.de/ WAM - Web Applications & Maps] by Reiner Lemoine Institut<br />
<br />
<br/><br />
<br />
<br/><br />
<br />
<br />
= Data organization ideas =<br />
<br />
A scheme similar to [http://us-cities.survey.okfn.org/ http://us-cities.survey.okfn.org/] might be useful for mapping out what types of data are available where.</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/DataData2021-11-22T21:23:00Z<p>Antoine Dubois: /* 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 (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 />
<br/><br />
<br />
<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 />
**[[Demand response|Demand response]]<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 />
*[[:File:Electricity prices|Electricity prices]]<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<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 />
<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 />
*[[Openenergy-platform.org/|Open Energy Platform]] (OEP) and [https://openenergy-platform.org/dataedit/schemas Open Energy Database] (OEDB) 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 />
*[https://www.reeep.org/reegle-clean-energy-information-portal 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.&nbsp;<br />
*The [https://globalenergymonitor.org/ Global Energy Monitor] is a project that maintains trackers on global (i) coal plants, (ii) fossil infrastructure, (iii) coal mines, (iv) steel plants, and (v) the European gas infrastructure with a global&nbsp; gas plant tracker in development. The data underlying the several trackers can be requested.<br />
*[https://energydata.info/ https://energydata.info/] features a collection of almost 600 open energy-related datasets put together by the World Bank Group.<br />
*The [https://opendata.ffe.de/ FfE Open Data Portal] offers free datasets for modelling energy demand and generation with a regional focus on Europe and Germany.<br />
*"[https://deep.eefig.eu/ DEEP] [De-risking Energy Efficiency Platform] is an open-source database for energy efficiency investments performance monitoring and benchmarking."<br />
<br />
<br/><br />
<br />
<br />
= Data sharing techniques =<br />
<br />
The [https://okfn.org/ Open Knowledge Foundation]&nbsp;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 modifications 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 a 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 '''[https://dat.foundation/ 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 />
= 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 />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or placing 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 time-series 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 />
*[https://github.com/OpenEnergyPlatform/open-MaStR open_MaStR] develop to download BNetzA Marktstammdatenregister powerplant data for Germany (AGPL-3.0)<br />
<br />
&nbsp;<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer ISE<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 />
*[https://wam.rl-institut.de/ WAM - Web Applications & Maps] by Reiner Lemoine Institut<br />
<br />
<br/><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>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/DataData2021-11-22T21:22:42Z<p>Antoine Dubois: /* Data extraction scripts */</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 />
<br/><br />
<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 />
**[[Demand response|Demand response]]<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 />
*[[:File:Electricity prices|Electricity prices]]<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<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 />
<br/><br />
<br />
<br/><br />
<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 />
*[[Openenergy-platform.org/|Open Energy Platform]] (OEP) and [https://openenergy-platform.org/dataedit/schemas Open Energy Database] (OEDB) 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 />
*[https://www.reeep.org/reegle-clean-energy-information-portal 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.&nbsp;<br />
*The [https://globalenergymonitor.org/ Global Energy Monitor] is a project that maintains trackers on global (i) coal plants, (ii) fossil infrastructure, (iii) coal mines, (iv) steel plants, and (v) the European gas infrastructure with a global&nbsp; gas plant tracker in development. The data underlying the several trackers can be requested.<br />
*[https://energydata.info/ https://energydata.info/] features a collection of almost 600 open energy-related datasets put together by the World Bank Group.<br />
*The [https://opendata.ffe.de/ FfE Open Data Portal] offers free datasets for modelling energy demand and generation with a regional focus on Europe and Germany.<br />
*"[https://deep.eefig.eu/ DEEP] [De-risking Energy Efficiency Platform] is an open-source database for energy efficiency investments performance monitoring and benchmarking."<br />
<br />
<br/><br />
<br />
<br />
= Data sharing techniques =<br />
<br />
The [https://okfn.org/ Open Knowledge Foundation]&nbsp;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 modifications 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 a 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 '''[https://dat.foundation/ 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 />
= 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 />
<br />
= Data extraction scripts =<br />
<br />
Feel free to add scripts here, by creating a new wiki page, or placing 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 time-series 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 />
*[https://github.com/OpenEnergyPlatform/open-MaStR open_MaStR] develop to download BNetzA Marktstammdatenregister powerplant data for Germany (AGPL-3.0)<br />
<br />
&nbsp;<br />
<br />
<br />
= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer ISE<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 />
*[https://wam.rl-institut.de/ WAM - Web Applications & Maps] by Reiner Lemoine Institut<br />
<br />
<br/><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>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/DataData2021-11-22T21:21:44Z<p>Antoine Dubois: /* Data sharing techniques */</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 />
<br/><br />
<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 />
**[[Demand response|Demand response]]<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 />
*[[:File:Electricity prices|Electricity prices]]<br />
*[[Demographic and socio-economic data|Demographic and socio-economic data]]<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 />
<br/><br />
<br />
<br/><br />
<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 />
*[[Openenergy-platform.org/|Open Energy Platform]] (OEP) and [https://openenergy-platform.org/dataedit/schemas Open Energy Database] (OEDB) 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 />
*[https://www.reeep.org/reegle-clean-energy-information-portal 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.&nbsp;<br />
*The [https://globalenergymonitor.org/ Global Energy Monitor] is a project that maintains trackers on global (i) coal plants, (ii) fossil infrastructure, (iii) coal mines, (iv) steel plants, and (v) the European gas infrastructure with a global&nbsp; gas plant tracker in development. The data underlying the several trackers can be requested.<br />
*[https://energydata.info/ https://energydata.info/] features a collection of almost 600 open energy-related datasets put together by the World Bank Group.<br />
*The [https://opendata.ffe.de/ FfE Open Data Portal] offers free datasets for modelling energy demand and generation with a regional focus on Europe and Germany.<br />
*"[https://deep.eefig.eu/ DEEP] [De-risking Energy Efficiency Platform] is an open-source database for energy efficiency investments performance monitoring and benchmarking."<br />
<br />
<br/><br />
<br />
<br />
= Data sharing techniques =<br />
<br />
The [https://okfn.org/ Open Knowledge Foundation]&nbsp;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 modifications 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 a 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 '''[https://dat.foundation/ 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 />
= 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 />
*[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 />
*[https://github.com/OpenEnergyPlatform/open-MaStR open_MaStR] develop to download BNetzA Marktstammdatenregister powerplant data for Germany (AGPL-3.0)<br />
<br />
<br/><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 ISE<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 />
*[https://wam.rl-institut.de/ WAM - Web Applications & Maps] by Reiner Lemoine Institut<br />
<br />
<br/><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>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Electricity_demandElectricity demand2020-03-13T16:29:54Z<p>Antoine Dubois: /* Japan */</p>
<hr />
<div><br />
= Asia =<br />
<br />
<br />
== Japan ==<br />
<br />
The Japanese Ministry of Economy Trade and Industry (METI) has provided hourly data for a full year (April 2010-March 2011) for the entire country separated in [https://en.wikipedia.org/wiki/Electricity_sector_in_Japan#/media/File:Power_Grid_of_Japan.svg 10 regions]. Data per region are available in separate <s>[http://www.meti.go.jp/setsuden/performance.html pdf files]</s>. <span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The website is in Japanese, it is, therefore, advisable to use a translate function (e.g. in Chrome).</span><br />
<br />
<br />
== Singapore ==<br />
<br />
Singapore's Energy Market Authority has provided an&nbsp;[https://www.ema.gov.sg/statistic.aspx?sta_sid=20140826Y84sgBebjwKV online database] with half-hourly demand, downloadable per month from the year 2004 onwards. Data is available in csv format or as pdf.<br />
<br />
<br />
<br />
= Europe<br/> =<br />
<br />
== ENTSO-E hourly load time series for European countries ==<br />
<br />
The European Network of Transmission System Operators for Electricity, [https://www.entsoe.eu/ ENTSOE-E], hold [https://www.entsoe.eu/data/data-portal/consumption/Pages/default.aspx hourly demand data for each EU country]. Their terms and conditions do not allow redistribution. It may be worth our while putting in a single, co-ordinated request to cover access to and redistribution of the archive.<br />
<br />
== Open Power System Data hourly load time series for European countries ==<br />
<br />
[http://open-power-system-data.org/ Open Power System Data] (OPSD) is a platform for European power system data such as power plants and load, wind and solar time series.<br />
<br />
OPSD will provide coherent versions of the ENTSO-E time series, with errors and time zones consistent across the dataset.<br/><br />
<br />
== Elexon time series for Great Britain<br/> ==<br />
<br />
[https://www.elexonportal.co.uk/ Elexon] manages the data for the GB network, and this is available half-hourly. Registration is free. They've been very helpful with our network of UK universities in facilitating access to data, to date. Again, a co-ordinated approach will be best. There are also [http://www2.nationalgrid.com/UK/Industry-information/Electricity-transmission-operational-data/Data-Explorer/ several different variations of total demand available from the GB National Grid], also all half-hourly<br/><br />
<br />
== JASM load profiles for Switzerland<br/> ==<br />
<br />
The Joint Activity on Scenario Modeling (JASM) in Switzerland has published [https://data.sccer-jasm.ch/ typical load profiles] for a variety of different loads along with other input data of their modeling activities.<br />
<br />
<br />
== RTE time series for France ==<br />
<br />
The&nbsp;[https://opendata.reseaux-energies.fr/explore/dataset/consommation-quotidienne-brute-elec/information/?disjunctive.qualite Open Data Reseaux-Energies] has time series for continental France for demand from 2008-2018 (2019 is available but not validated), including subdivision in different zones. Additional information (with some gaps) on production from a variety of sources per region is available.&nbsp;&nbsp;<span style="font-size: 0.85em;">Webpage is in French, but very reasonable to browse through.&nbsp;</span><br />
<br />
<br />
== Russia ==<br />
<br />
Historical hourly load (updated every hour) for Russia's unified electricity transmission grid system is provided by Russia's [http://www.so-cdu.ru/index.php?id=972&tx_ms1cdu_pi1 Federal Grid Company]. Data can be downloaded in csv or xml format limited to 24 hours (full day) per download. Profiles are available for the unified grid as a whole or per subregion. The website is in Russian, it is therefore advisable to use a translate function (e.g. in Chrome).<br />
<br />
<br />
= Africa =<br />
<br />
== Morocco ==<br />
<br />
[http://www.one.ma/ http://www.one.ma/]<br />
<br />
= North America =<br />
<br />
== Canada ==<br />
<br />
Historical hourly load data for the [http://www.ieso.ca/localContent/zonal.map/index.html Ontario area]&nbsp;in Canada, operated by the Indepedent Electricity System Operator (IESO), can be downloaded in CSV format from IESO's&nbsp;[http://www.ieso.ca/en/power-data/data-directory website].<br />
<br />
Hourly load data, 2016 only, for the&nbsp;[https://www.google.ie/maps/place/Alberta,+Canada/@54.1652415,-123.9587151,5z/data=!3m1!4b1!4m5!3m4!1s0x5309b282a82419b5:0xb0a9479a409b8e9e!8m2!3d53.9332706!4d-116.5765035 Alberta Interconnected Electric System (AIES)]&nbsp;can be retrieved from the website of&nbsp;[https://www.aeso.ca/market/market-and-system-reporting/data-requests/2016-hourly-load-data/ Alberta Electric System Operator (AESO).]<br />
<br />
== United States ==<br />
<br />
Hourly load profiles for the period 2015-2017 are available on the website of the [https://www.eia.gov/beta/realtime_grid/#/data/table?end=20170904T00&start=20170828T00&bas=0&regions=ndvo EIA]. Data can be downloaded for the entire US, or seperately per region or balancing authority. Hourly load per balancing authority for years before 2016 can be accessed through the website of the&nbsp;[https://www.ferc.gov/docs-filing/forms/form-714/data.asp Federal Energy Regulatory Commission (FERC).]<br />
<br />
= Oceania =<br />
<br />
== Australia ==<br />
<br />
The&nbsp;[https://www.aemo.com.au/Electricity/National-Electricity-Market-NEM/Data-dashboard#aggregated-data data dashboard] of the Australian Energy Market Operator (AEMO) includes half-hourly load data per month, per subregion, of the Australian National Electricity Market (NEM) downloadable for the period 1998-2017. The NEM consists of the regions&nbsp;<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">Queensland, New South Wales, Victoria, South Australia and Tasmania. In 2013 the NEM covered approximately 90% of Australia's grid connected electricity demand ([https://arena.gov.au/assets/2017/02/CSIRO-Electricity-market-analysis-for-IGEG.pdf p.13]).&nbsp;</span><br />
<br />
== New Zealand ==<br />
<br />
The&nbsp;[https://www.emi.ea.govt.nz/Wholesale/Reports/W_GD_C?DateFrom=20100101&DateTo=20161231&_si=_dr_DateFrom|20150101,_dr_DateTo|20151231,_dr_RegionType|NZ,v|4 electricity market information (EMI) website]&nbsp;of New Zealand's Electricity Authority includes a database with half-hourly load data downloadable in CSV format for any customizable period from 2004 onwards. Data can be aggegrated for New Zealand as a whole, per subregion (5 in total) or per node.<br />
<br />
= South America =<br />
<br />
== Chile ==<br />
<br />
<span><span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The Coordinador Electrico Nacional, an independent corporation of the Chilean state, provides a wide variety of datasets regarding the power sector on their [https://sic.coordinadorelectrico.cl/informes-y-documentos/fichas/operacion-real/ website]. This includes hourly load data downloadable in aggegrated zip files per year. The zip file consists of seperate excel files per day of the year. All data and supporting information is in Spanish.</span></span><br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:37:53Z<p>Antoine Dubois: /* Bundesnetzagentur for Germany (Germany's Network Regulator) */</p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; [http://resourcewatch.org/ http://resourcewatch.org/] [https://earthengine.google.com/ https://earthengine.google.com/]<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">[https://goo.gl/1oX71J https://goo.gl/1oX71J]</span><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/]&nbsp;(<span style="color:#FF0000;">dead link</span>)<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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 />
=== 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 />
=== 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]&nbsp;(<span style="color:#FF0000;">dead link</span>)<br />
<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://github.com/FRESNA/powerplantmatching 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 />
== 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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:31:12Z<p>Antoine Dubois: </p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; [http://resourcewatch.org/ http://resourcewatch.org/] [https://earthengine.google.com/ https://earthengine.google.com/]<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">[https://goo.gl/1oX71J https://goo.gl/1oX71J]</span><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/]&nbsp;(<span style="color:#FF0000;">dead link</span>)<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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 />
=== 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 />
=== 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://github.com/FRESNA/powerplantmatching 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 />
== 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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:30:30Z<p>Antoine Dubois: </p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; [http://resourcewatch.org/ http://resourcewatch.org/] [https://earthengine.google.com/ https://earthengine.google.com/]<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">[https://goo.gl/1oX71J https://goo.gl/1oX71J]</span><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/]&nbsp;(<span style="color:#FF0000;">dead link</span>)<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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 />
=== 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 />
=== 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://github.com/FRESNA/powerplantmatching 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 />
<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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:29:30Z<p>Antoine Dubois: /* industryAbout */</p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/ https://earthengine.google.com/<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">https://goo.gl/1oX71J</span><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 />
<br />
=== industryAbout ===<br />
<br />
[http://www.industryabout.com/energy http://www.industryabout.com/energy]<br />
<br />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]&nbsp;(<span style="color:#FF0000;">dead link</span>)<br />
<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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/><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 />
<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://github.com/FRESNA/powerplantmatching 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 />
<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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:28:54Z<p>Antoine Dubois: /* Ventus */</p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/ https://earthengine.google.com/<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">https://goo.gl/1oX71J</span><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 />
<br />
<br />
<br />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]&nbsp;(<span style="color:#FF0000;">dead link</span>)<br />
<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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/><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 />
<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://github.com/FRESNA/powerplantmatching 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 />
<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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:28:32Z<p>Antoine Dubois: /* Ventus */</p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/ https://earthengine.google.com/<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">https://goo.gl/1oX71J</span><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 />
<br />
<br />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]&nbsp;(dead link)<br />
<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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/><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 />
<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://github.com/FRESNA/powerplantmatching 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 />
<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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:28:10Z<p>Antoine Dubois: /* Ventus */</p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/ https://earthengine.google.com/<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">https://goo.gl/1oX71J</span><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 />
<br />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]<br />
<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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/><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 />
<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://github.com/FRESNA/powerplantmatching 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 />
<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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Power_plant_portfoliosPower plant portfolios2019-09-11T09:27:41Z<p>Antoine Dubois: /* Ventus */</p>
<hr />
<div><br />
<span style="font-size: 13.6px; background-color: rgb(255, 255, 255);">The [https://resourcewatch.org/data/explore/a86d906d-9862-4783-9e30-cdb68cd808b8 Global Power Plant Database] published by WRI and partners provides an open comprehensive dataset of power plants of all fuel types and is activley maintained and updated. More details and additonal regional and global data sources can be found below.&nbsp;</span><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 />
=== Power Explorer / Global Power Plant Database ===<br />
<br />
The World Resources Institue and partners have been working since 2015 on [http://powerexplorer.org/ Power Explorer], aiming to publish global comprehensive standarized open power system data and activley is looking for contributors.&nbsp;<br />
<br />
The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As of June 2018, the database includes around 28,500 power plants from 164 countries. It will be continuously updated as data becomes available. The most recent release of the Global Power Plant Database 1.1 includes the addition of two countries (China and Fiji), over 3,000 power plants, and nearly 1300 gigawatts of power capacity. We highly recommend using version 1.1, available online as of June 2018.<br />
<br />
The methodology for the dataset creation is given in the World Resources Institute publication [http://www.wri.org/publication/global-power-plant-database "A Global Database of Power Plants"]<br />
<br />
The database can be [http://goo.gl/XMyMLt visualized on Resource Watch]together with hundreds of other datasets.<br />
<br />
The database is available for immediate download and use through the [http://datasets.wri.org/dataset/globalpowerplantdatabase WRI Open Data Portal].<br />
<br />
Associated code for the creation of the dataset can be found on [https://github.com/wri/global-power-plant-database GitHub]. The bleeding-edge version of the database (which may contain substantial differences from the release you are viewing) is available on GitHub as well.<br />
<br />
To be informed of important database releases in the future, please sign up for our [https://docs.google.com/forms/d/e/1FAIpQLSeEBpJurlrxxndIm_TC3cxGiKGdV3S2YwiUjdnuCGuNd1NCsA/viewform newsletter].<br />
<br />
Citation<br/>Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2018. Global Power Plant Database. Published on Resource Watch and Google Earth Engine; http://resourcewatch.org/ https://earthengine.google.com/<br />
<br />
WRI is also maintaining a general list of power plant sources in this Google doc:&nbsp;<span style="font-size: 0.85em;">https://goo.gl/1oX71J</span><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 />
<br />
=== Ventus ===<br />
<br />
[http://ventus.project.asu.edu/ http://ventus.project.asu.edu/]<br />
<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 />
[https://en.wikipedia.org/wiki/List_of_power_stations List of power stations]<br />
<br />
<br/><br />
<br />
== Europe ==<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/><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 />
<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://github.com/FRESNA/powerplantmatching 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 />
<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 />
<br/></div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Transmission_network_datasetsTransmission network datasets2019-09-11T08:50:04Z<p>Antoine Dubois: /* Australia */</p>
<hr />
<div><br />
= Network datasets by region<br/> =<br />
<br />
<br />
== Europe ==<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 />
| 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 />
| 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 />
| 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 />
| Excel<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 />
=== 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 />
=== 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 />
<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 />
== 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 />
'''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 />
== 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>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Transmission_network_datasetsTransmission network datasets2019-09-11T08:49:18Z<p>Antoine Dubois: /* Australia */</p>
<hr />
<div><br />
= Network datasets by region<br/> =<br />
<br />
<br />
== Europe ==<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 />
| 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 />
| 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 />
| 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 />
| Excel<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 />
=== 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 />
=== 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 />
<br />
<br />
== Australia<br/> ==<br />
<br />
[https://data.gov.au/dataset/ds-ga-1185c97c-c042-be90-e053-12a3070a969b/details?q=national electricity Lines] and [https://data.gov.au/dataset/ds-ga-13be62a4-4fe3-f812-e053-12a3070a22be/details?q=national electricity substations]<br />
<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 />
'''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 />
== 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>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Transmission_network_datasetsTransmission network datasets2019-09-11T08:23:38Z<p>Antoine Dubois: /* Danish Power Network Grid Model */</p>
<hr />
<div><br />
= Network datasets by region<br/> =<br />
<br />
<br />
== Europe ==<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 />
| 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 />
| 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 />
| 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 />
| Excel<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 />
=== 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 />
=== 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 />
<br />
== Australia<br/> ==<br />
<br />
substations [http://www.data.gov.au/dataset/national-electricity-transmission-substations data here]<br />
<br />
lines [http://www.data.gov.au/dataset/national-electricity-transmission-lines-database data here]<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 />
'''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 />
== 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>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Transmission_network_datasetsTransmission network datasets2019-09-11T07:56:43Z<p>Antoine Dubois: /* Europe */</p>
<hr />
<div><br />
= Network datasets by region<br/> =<br />
<br />
<br />
== Europe ==<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 />
| 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 />
| 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 />
| 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 />
| Excel<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 />
=== Danish Power Network Grid Model<br/> ===<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 />
=== 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 />
<br />
== Australia<br/> ==<br />
<br />
substations [http://www.data.gov.au/dataset/national-electricity-transmission-substations data here]<br />
<br />
lines [http://www.data.gov.au/dataset/national-electricity-transmission-lines-database data here]<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 />
'''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 />
== 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>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Wind_geographical_potentialsWind geographical potentials2019-09-11T07:16:12Z<p>Antoine Dubois: /* Land usage databases */</p>
<hr />
<div><br />
This page grew out of the [https://docs.google.com/document/d/1Wi3rIjEU5emKm-rxGT3ED9DnSDdkEGZYD3zdYcebKFc/edit Wind Potentials Breakout Group Report] from the [[Open Energy Modelling Workshop - London 2015|Open Energy Modelling Workshop - London 2015]].<br />
<br />
= Introduction =<br />
<br />
To model investment in new wind power plants, you must know where is possible to build them.<br />
<br />
Onshore wind: must respect current land usage, nature reserves and minimum distances from properties.<br />
<br />
Offshore wind: must respect nature reserves, sea depth, shipping lanes.<br />
<br />
== Bottom-up approach ==<br />
<br />
Example for wind turbines: look at each country's rules / minimum distance regulations and look in detail at where buildings are and compute where each and every possible wind turbine could go.<br />
<br />
== Approximate approach ==<br />
<br />
Use CORINE landcover and other databases of nature reserves to get a coarse-grained potential.<br />
<br />
<br/><br />
<br />
= Land cover databases =<br />
<br />
<br />
== CORINE ==<br />
<br />
CORINE 2006 has European land coverage down to 100m x100m<br />
<br />
sourced on satellite sensing (i.e. not just photos)<br />
<br />
CORINE contains classification of land cover (agriculture, pasture, wetlands,etc) but NOT usage (i.e. natural park)<br />
<br />
both as [https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-4 raster]&nbsp;<span style="background-color: rgb(255, 255, 255);">(TIF raster with geographic projection)&nbsp;<span style="background-color: rgb(255, 255, 255);">and as&nbsp;</span>[https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-4 vector graphics]<span style="background-color: rgb(255, 255, 255);">&nbsp;(i.e. polygons for each land coverage type)</span></span><br />
<br />
<br/><br />
<br />
<br />
== Global Land Cover Facility (GLCF) ==<br />
<br />
(possibly raw data based on satellite, not necessarily classified by type, vector or raster?)<br />
<br />
[http://glcf.umd.edu/data/ http://glcf.umd.edu/data/]<br />
<br />
<br/><br />
<br />
<br />
== Other Land Cover databases ==<br />
<br />
Global Data for land coverage: for all continents&nbsp;[https://archive.usgs.gov/archive/sites/landcover.usgs.gov/landcoverdata.html https://archive.usgs.gov/archive/sites/landcover.usgs.gov/landcoverdata.html]<br />
<br />
Land Cover Trends Dataset, 1973–2000 [http://pubs.usgs.gov/ds/844/ http://pubs.usgs.gov/ds/844/]<br />
<br />
List of GIS Metasources: [https://research.csc.fi/open-gis-data https://research.csc.fi/open-gis-data]<br />
<br />
<br/><br />
<br />
<br />
<br />
= Land usage databases =<br />
<br />
For national parks (although some wind turbines do turn up here) and e.g. areas of special scientific resolution<br />
<br />
[https://www.eea.europa.eu/data-and-maps/data/natura-10 Natura 2000]<br />
<br />
[https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-14 CDDA EU data]<br />
<br />
<br />
= Wind turbine density for different land covers/usages =<br />
<br />
Approximate figures on how densely wind turbines may be put on land, varying with land cover/usage.<br />
<br />
<br/><br />
<br />
= Offshore resource assessment =<br />
<br />
Uk-Marine renewables atlas<br />
<br />
Bathymetry:<br />
<br />
[http://www.gebco.net http://www.gebco.net]<br />
<br />
= Exclusion criteria by country/region =<br />
<br />
Many regions have specific rules about where wind turbines may be built. This list should summarise them.<br />
<br />
== Bavaria ==<br />
<br />
Bavaria has a "10h rule" that wind turbines must be at least 10 times the hub height from any other buildings. This rule is being challenged in the courts.<br />
<br />
TODO: Get the precise rule.<br />
<br />
<br />
= Existing assessments of onshore and offshore wind potentials =<br />
<br />
http://www.eea.europa.eu/publications/europes-onshore-and-offshore-wind-energy-potential</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Wind_geographical_potentialsWind geographical potentials2019-09-11T07:11:31Z<p>Antoine Dubois: /* Other Land Cover databases */</p>
<hr />
<div><br />
This page grew out of the [https://docs.google.com/document/d/1Wi3rIjEU5emKm-rxGT3ED9DnSDdkEGZYD3zdYcebKFc/edit Wind Potentials Breakout Group Report] from the [[Open Energy Modelling Workshop - London 2015|Open Energy Modelling Workshop - London 2015]].<br />
<br />
= Introduction =<br />
<br />
To model investment in new wind power plants, you must know where is possible to build them.<br />
<br />
Onshore wind: must respect current land usage, nature reserves and minimum distances from properties.<br />
<br />
Offshore wind: must respect nature reserves, sea depth, shipping lanes.<br />
<br />
== Bottom-up approach ==<br />
<br />
Example for wind turbines: look at each country's rules / minimum distance regulations and look in detail at where buildings are and compute where each and every possible wind turbine could go.<br />
<br />
== Approximate approach ==<br />
<br />
Use CORINE landcover and other databases of nature reserves to get a coarse-grained potential.<br />
<br />
<br/><br />
<br />
= Land cover databases =<br />
<br />
<br />
== CORINE ==<br />
<br />
CORINE 2006 has European land coverage down to 100m x100m<br />
<br />
sourced on satellite sensing (i.e. not just photos)<br />
<br />
CORINE contains classification of land cover (agriculture, pasture, wetlands,etc) but NOT usage (i.e. natural park)<br />
<br />
both as [https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-4 raster]&nbsp;<span style="background-color: rgb(255, 255, 255);">(TIF raster with geographic projection)&nbsp;<span style="background-color: rgb(255, 255, 255);">and as&nbsp;</span>[https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-4 vector graphics]<span style="background-color: rgb(255, 255, 255);">&nbsp;(i.e. polygons for each land coverage type)</span></span><br />
<br />
<br/><br />
<br />
<br />
== Global Land Cover Facility (GLCF) ==<br />
<br />
(possibly raw data based on satellite, not necessarily classified by type, vector or raster?)<br />
<br />
[http://glcf.umd.edu/data/ http://glcf.umd.edu/data/]<br />
<br />
<br/><br />
<br />
<br />
== Other Land Cover databases ==<br />
<br />
Global Data for land coverage: for all continents&nbsp;[https://archive.usgs.gov/archive/sites/landcover.usgs.gov/landcoverdata.html https://archive.usgs.gov/archive/sites/landcover.usgs.gov/landcoverdata.html]<br />
<br />
Land Cover Trends Dataset, 1973–2000 [http://pubs.usgs.gov/ds/844/ http://pubs.usgs.gov/ds/844/]<br />
<br />
List of GIS Metasources: [https://research.csc.fi/open-gis-data https://research.csc.fi/open-gis-data]<br />
<br />
<br/><br />
<br />
<br />
= Land usage databases =<br />
<br />
For national parks (although some wind turbines do turn up here) and e.g. areas of special scientific resolution<br />
<br />
Natura 2000 [http://www.eea.europa.eu/data-and-maps/data/natura-2/natura-2000-spatial-data/natura-2000-shapefile-1b http://www.eea.europa.eu/data-and-maps/data/natura-2/natura-2000-spatial-data/natura-2000-shapefile-1b]<br />
<br />
CDDA EU data: [http://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8#tab-gis-data http://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8#tab-gis-data]<br />
<br />
= Wind turbine density for different land covers/usages =<br />
<br />
Approximate figures on how densely wind turbines may be put on land, varying with land cover/usage.<br />
<br />
<br/><br />
<br />
= Offshore resource assessment =<br />
<br />
Uk-Marine renewables atlas<br />
<br />
Bathymetry:<br />
<br />
[http://www.gebco.net http://www.gebco.net]<br />
<br />
= Exclusion criteria by country/region =<br />
<br />
Many regions have specific rules about where wind turbines may be built. This list should summarise them.<br />
<br />
== Bavaria ==<br />
<br />
Bavaria has a "10h rule" that wind turbines must be at least 10 times the hub height from any other buildings. This rule is being challenged in the courts.<br />
<br />
TODO: Get the precise rule.<br />
<br />
<br />
= Existing assessments of onshore and offshore wind potentials =<br />
<br />
http://www.eea.europa.eu/publications/europes-onshore-and-offshore-wind-energy-potential</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Wind_geographical_potentialsWind geographical potentials2019-09-11T07:00:12Z<p>Antoine Dubois: /* CORINE */</p>
<hr />
<div><br />
This page grew out of the [https://docs.google.com/document/d/1Wi3rIjEU5emKm-rxGT3ED9DnSDdkEGZYD3zdYcebKFc/edit Wind Potentials Breakout Group Report] from the [[Open Energy Modelling Workshop - London 2015|Open Energy Modelling Workshop - London 2015]].<br />
<br />
= Introduction =<br />
<br />
To model investment in new wind power plants, you must know where is possible to build them.<br />
<br />
Onshore wind: must respect current land usage, nature reserves and minimum distances from properties.<br />
<br />
Offshore wind: must respect nature reserves, sea depth, shipping lanes.<br />
<br />
== Bottom-up approach ==<br />
<br />
Example for wind turbines: look at each country's rules / minimum distance regulations and look in detail at where buildings are and compute where each and every possible wind turbine could go.<br />
<br />
== Approximate approach ==<br />
<br />
Use CORINE landcover and other databases of nature reserves to get a coarse-grained potential.<br />
<br />
<br/><br />
<br />
= Land cover databases =<br />
<br />
<br />
== CORINE ==<br />
<br />
CORINE 2006 has European land coverage down to 100m x100m<br />
<br />
sourced on satellite sensing (i.e. not just photos)<br />
<br />
CORINE contains classification of land cover (agriculture, pasture, wetlands,etc) but NOT usage (i.e. natural park)<br />
<br />
both as [https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-4 raster]&nbsp;<span style="background-color: rgb(255, 255, 255);">(TIF raster with geographic projection)&nbsp;<span style="background-color: rgb(255, 255, 255);">and as&nbsp;</span>[https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-4 vector graphics]<span style="background-color: rgb(255, 255, 255);">&nbsp;(i.e. polygons for each land coverage type)</span></span><br />
<br />
<br/><br />
<br />
<br />
== Global Land Cover Facility (GLCF) ==<br />
<br />
(possibly raw data based on satellite, not necessarily classified by type, vector or raster?)<br />
<br />
[http://glcf.umd.edu/data/ http://glcf.umd.edu/data/]<br />
<br />
<br/><br />
<br />
== Other Land Cover databases ==<br />
<br />
Global Data for land coverage: for all continents [http://landcover.usgs.gov/landcoverdata.php http://landcover.usgs.gov/landcoverdata.php]<br />
<br />
Land Cover Trends Dataset, 1973–2000 [http://pubs.usgs.gov/ds/844/ http://pubs.usgs.gov/ds/844/]<br />
<br />
List of GIS Metasources: [https://research.csc.fi/open-gis-data https://research.csc.fi/open-gis-data]<br />
<br />
<br/><br />
<br />
= Land usage databases =<br />
<br />
For national parks (although some wind turbines do turn up here) and e.g. areas of special scientific resolution<br />
<br />
Natura 2000 [http://www.eea.europa.eu/data-and-maps/data/natura-2/natura-2000-spatial-data/natura-2000-shapefile-1b http://www.eea.europa.eu/data-and-maps/data/natura-2/natura-2000-spatial-data/natura-2000-shapefile-1b]<br />
<br />
CDDA EU data: [http://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8#tab-gis-data http://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8#tab-gis-data]<br />
<br />
= Wind turbine density for different land covers/usages =<br />
<br />
Approximate figures on how densely wind turbines may be put on land, varying with land cover/usage.<br />
<br />
<br/><br />
<br />
= Offshore resource assessment =<br />
<br />
Uk-Marine renewables atlas<br />
<br />
Bathymetry:<br />
<br />
[http://www.gebco.net http://www.gebco.net]<br />
<br />
= Exclusion criteria by country/region =<br />
<br />
Many regions have specific rules about where wind turbines may be built. This list should summarise them.<br />
<br />
== Bavaria ==<br />
<br />
Bavaria has a "10h rule" that wind turbines must be at least 10 times the hub height from any other buildings. This rule is being challenged in the courts.<br />
<br />
TODO: Get the precise rule.<br />
<br />
<br />
= Existing assessments of onshore and offshore wind potentials =<br />
<br />
http://www.eea.europa.eu/publications/europes-onshore-and-offshore-wind-energy-potential</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Weather_dataWeather data2019-09-11T06:51:26Z<p>Antoine Dubois: /* Overview */</p>
<hr />
<div><br />
<br />
= Overview =<br />
<br />
Weather data can be used to generate profiles for wind, solar and hydro power plants. Re-analysis or “hindcast”&nbsp;projects use state-of the art weather forecast models with long time series of weather observations. They create consistent&nbsp;series of weather data, often of decades and with a global scope. [http://reanalyses.org/ Reanalysis.org]&nbsp;and [https://climatedataguide.ucar.edu/climate-data NCAR] provide a helpful overview of re-analysis models. Data are usually provided in GRIB or NetCDF format and can be very large in size (100s of GB).<br />
<br />
*OPSD compiled a [http://open-power-system-data.org/data-sources#9_Weather_data list of weather data sources] and provides [http://data.open-power-system-data.org/weather_data a script] to download&nbsp; customized subsets of the MERRA-2 dataset<br />
*[https://renewables.ninja Renewables.ninja] allows users to download weather data (wind speed, solar irradiance, temperature) for specific locations based on MERRA-2 and satellite imaging data.<br />
*The Hans-Ertel-Centre for Weather Research has published two preliminary reanalysis data sets ([http://reanalysis.meteo.uni-bonn.de/?COSMO-REA6 COSMO-REA6] and [http://reanalysis.meteo.uni-bonn.de/?COSMO-REA2 COSMO-REA2]) containing the most often requested variables that may be used without any restrictions<br />
*[http://www.cosmo-model.org/ COSMO (Consortium for Small-scale Modelling)], simulation model for weather in Europe, used for the official weather forecasts. The model is free to use for research applications<br />
<br />
You may have a chance to get data directly from national weather services or participating universities/institutions and thus avoid having to run it yourself. For Germany, the current resolution is 2.8 km.<br />
<br />
*The [https://cdc.dwd.de/portal/ Climate Data Center (CDC)] of the German Weather Service (DWD) has puslished [ftp://ftp-cdc.dwd.de/pub/CDC/ a dataset] of<br/><br />
**observed parameters from DWD stations,<br />
**derived parameters at the station locations,<br />
**gridded fields covering Germany,<br />
**regional averages for Germany and its federal states,<br />
**gridded fields covering Europe,<br />
**global climate station data<br />
**available at hourly, daily, monthly, annual or multi-annual resolution.<br />
**The data is useable without restrictions provided the source "Deutscher Wetterdienst" is mentioned.<br/><br />
<br />
*[http://rda.ucar.edu/datasets/ds094.1/ National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS)], worldwide hourly reanalysis weather data, currently 0.2 deg spatial resolution. You need an account to get access to the downloads, but as the data is from a public US institution, it is free.<br />
<br />
<br />
= Projects to turn weather data into renewable power availability time series =<br />
<br />
Various projects exist that transform weather data into power availability time series for different solar/wind power plant model types:<br />
<br />
*[http://arxiv.org/abs/1409.3353 Aarhus University RE Atlas]<br />
*[https://github.com/FRESNA/atlite atlite]<br />
*[https://github.com/oemof/feedinlib oemof feedinlib]<br />
*[https://renewables.ninja/ renewables.ninja]</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/Weather_dataWeather data2019-09-11T06:47:31Z<p>Antoine Dubois: /* Overview */</p>
<hr />
<div><br />
= Overview =<br />
<br />
Weather data can be used to generate profiles for wind, solar and hydro power plants. Re-analysis or “hindcast”&nbsp;projects use state-of the art weather forecast models with long time series of weather observations. They create consistent&nbsp;series of weather data, often of decades and with a global scope. [http://reanalyses.org/ Reanalysis.org]&nbsp;and [https://climatedataguide.ucar.edu/climate-data NCAR] provide a helpful overview of re-analysis models. Data are usually provided in GRIB or NetCDF format and can be very large in size (100s of GB).<br />
<br />
*OPSD compiled a [http://open-power-system-data.org/data-sources#9_Weather_data list of weather data sources] and provides [http://data.open-power-system-data.org/weather_data a script] to download&nbsp; customized subsets of the MERRA-2 dataset<br />
*[https://renewables.ninja Renewables.ninja] allows users to download weather data (wind speed, solar irradiance, temperature) for specific locations based on MERRA-2 and satellite imaging data.<br />
*The Hans-Ertel-Centre for Weather Research has published two preliminary reanalysis data sets ([http://reanalysis.meteo.uni-bonn.de/?COSMO-REA6 COSMO-REA6] and [http://reanalysis.meteo.uni-bonn.de/?COSMO-REA2 COSMO-REA2]) containing the most often requested variables that may be used without any restrictions<br />
*[http://www.cosmo-model.org/ COSMO (Consortium for Small-scale Modelling)], simulation model for weather in Europe, used for the official weather forecasts. The model is free to use for research applications<br />
<br />
You may have a chance to get data directly from national weather services or participating universities/institutions and thus avoid having to run it yourself. For Germany, the current resolution is 2.8 km.<br />
<br />
*The Climate Data Center (CDC) of the German Weather Service (DWD) has puslished [ftp://ftp-cdc.dwd.de/pub/CDC/ a dataset] of<br/><br />
**observed parameters from DWD stations,<br />
**derived parameters at the station locations,<br />
**gridded fields covering Germany,<br />
**regional averages for Germany and its federal states,<br />
**gridded fields covering Europe,<br />
**global climate station data<br />
**available at hourly, daily, monthly, annual or multi-annual resolution.<br />
**The data is useable without restrictions provided the source "Deutscher Wetterdienst" is mentioned.<br/><br />
<br />
*[http://rda.ucar.edu/datasets/ds094.1/ National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS)], worldwide hourly reanalysis weather data, currently 0.2 deg spatial resolution. You need an account to get access to the downloads, but as the data is from a public US institution, it is free.<br />
<br />
<br />
= Projects to turn weather data into renewable power availability time series =<br />
<br />
Various projects exist that transform weather data into power availability time series for different solar/wind power plant model types:<br />
<br />
*[http://arxiv.org/abs/1409.3353 Aarhus University RE Atlas]<br />
*[https://github.com/FRESNA/atlite atlite]<br />
*[https://github.com/oemof/feedinlib oemof feedinlib]<br />
*[https://renewables.ninja/ renewables.ninja]</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/ELMODELMOD2019-09-10T12:50:54Z<p>Antoine Dubois: </p>
<hr />
<div>{{Model<br />
|Full_Model_Name=Electricity Model<br />
|Acronym=ELMOD<br />
|author_institution=Technische Universität Berlin<br />
|authors=Florian Leuthold, Hannes Weigt, Christian von Hirschhausen, Jonas Egerer, Clemens Gerbaulet, Casimir Lorenz, Jens Weibezahn<br />
|contact_persons=Jens Weibezahn<br />
|contact_email=jew@wip.tu-berlin.de<br />
|website=https://www.diw.de/elmod<br />
|text_description=The "Electricity Model" (ELMOD) is a deterministic linear or mixed integer dispatch model framework of the German (and European) electricity and co-generation heat sector.<br />
|open_source_licensed=Yes<br />
|license=MIT license (MIT)<br />
|model_source_public=Yes<br />
|Link to source=https://www.diw.de/elmod<br />
|data_availability=some<br />
|open_future=Yes<br />
|modelling_software=GAMS<br />
|External optimizer=CPLEX, GUROBI<br />
|GUI=No<br />
|model_class=German and European Electricity Market<br />
|sectors=Electricity, Heat<br />
|technologies=Renewables, Conventional Generation, CHP<br />
|Demand sectors=Households, Industry, Commercial sector<br />
|Energy carrier (Gas)=Natural gas, Biogas<br />
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br />
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br />
|Transfer (Electricity)=Transmission<br />
|Storage (Electricity)=PHS<br />
|Storage (Gas)=No<br />
|Storage (Heat)=No<br />
|decisions=dispatch<br />
|georegions=Germany, Europe<br />
|georesolution=power plant block, transmission network node<br />
|timeresolution=Hour<br />
|network_coverage=transmission, DC load flow<br />
|Observation period=Less than one year<br />
|math_modeltype=Optimization<br />
|is_suited_for_many_scenarios=No<br />
|montecarlo=No<br />
|Model input file format=No<br />
|Model file format=No<br />
|Model output file format=No<br />
}}</div>Antoine Duboishttps://wiki.openmod-initiative.org/wiki/DataData2019-09-10T08:51:27Z<p>Antoine Dubois: /* Other lists of energy-related open datasets */</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 />
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[[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 />
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Open datasets related to energy are listed here by type.<br />
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*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 />
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*[[Country-specific targets and policies|Country-specific targets and policies]]<br />
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= Other lists of energy-related open datasets =<br />
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*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 />
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*[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 />
*[https://www.reeep.org/reegle-clean-energy-information-portal 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.&nbsp;<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 />
= 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 />
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= Interactive data visualizations =<br />
<br />
*[https://www.energy-charts.de/index.htm Energy Charts] by Fraunhofer ISE<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 />
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= 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>Antoine Dubois