wiki.openmod-initiative.org - User contributions [en]

EnergyNumbers-Balancing

2016-08-25T08:18:43Z

Andrew ZP Smith: updating model scope

{{Model
|Full_Model_Name=EnergyNumbers-Balancing
|author_institution=UCL Energy Institute
|authors=[[user:Andrew ZP Smith|Andrew ZP Smith]]
|contact_persons=Andrew ZP Smith
|contact_email=andrew.smith@ucl.ac.uk
|website=http://energynumbers.info/balancing
|source_download=https://github.com/RCUK-CEE/energynumbers-balancing
|logo=EnergyNumbers-logo400.png
|text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage. Please do email me if you'd like to request early access to the source, and mention your github username.
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=No
|data_availability=some
|open_future=Yes
|modelling_software=Fortran, PHP, Javascript, HTML, CSS
|processing_software=Matlab, Python
|model_class=Simulating storage and exogenously-variable renewables
|sectors=Electricity
|technologies=Renewables
|decisions=dispatch
|georegions=Britain, Germany, Spain
|georesolution=National
|timeresolution=Hour
|math_modeltype=Simulation
|math_modeltype_shortdesc=Historic wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy. Timescale is dependent on country: GB half-hourly; Germany hourly; Spain 10-minutely.
|deterministic=Deterministic
|is_suited_for_many_scenarios=Yes
|number_of_variables=28
|computation_time_minutes=0.00001
|computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly
|example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.
}}

Open Energy Modelling Workshop - London 2015

2015-09-09T06:18:38Z

Andrew ZP Smith: /* Proposed break-out groups */

Welcome to the wiki page of the upcoming '''Third Workshop of the [http://openmod-initiative.org/ Open Energy Modelling Initiative]''', a grass-root organization of modellers from various European research institutes and universities. After two workshops in Berlin, we will be guest at Imperial College's [http://www.imperial.ac.uk/grantham Grantham Institute]. The workshop takes place September 10/11. As always, there is no registration fee. 

It will be a ''work''-shop in the sense of the word, with only little time devoted to plenary presentation and most time to hands-on parallel sessions (break-out groups). This is a wiki page that will be updated frequently, and all participants are invited to contribute.

== Background  ==

Energy models are widely used for policy advice and research. They serve to answer questions on energy policy, decarbonization, and transitions towards renewable energy sources. Yet, most energy models are black boxes – even to fellow researchers. This is what we want to change. We are a group of modellers from various universities and research institutes who want to promote open energy modelling. We believe that Open Source models and Open Data will advance knowledge and lead to better energy policies. Our mission is to enable Open Source energy modelling by providing a platform for collaboration as well as tools along the full value chain of energy economics and energy system models. That is why we founded the Open Energy Modelling Initiative (openmod initiative) just a year ago. You are welcome to join us for our next workshop!

After two extremely fruitful and encouraging workshops in Berlin ([[Founding workshop|Sept 2014]], [[2nd Open Energy Modelling Workshop|April 2015]]), we will have our next workshop in London with an even more international focus. The aim is to give researchers a chance to present their own contributions to the field of open energy modelling and data, as well as to provide a forum to exchange ideas and work on concrete projects of the openmod initiative and more generally in the field of open energy modelling and data.

 

== Practical information ==

[[File:The Royal School of Mines building on Imperial College London's South Kensington Campus.jpg|left|x225px|Imperial College, Royal School of Mines|alt=Imperial College, Royal School of Mines|link=]] 

Venue: London, Imperial College, Royal School of Mines Building Map: [https://goo.gl/maps/zZu3T https://goo.gl/maps/zZu3T] 

10/11 September 2015 Begin: Thursday (10 September) 10.00 End: Friday (11 September) 16:00 

Sign up: register on the Wiki, and add yourself to "participants" [https://groups.google.com/forum/#!forum/openmod-initiative Join our mailing list] to receive updates 

Fee: no registration fee, but you will need to cover your own food and lodging expenses.

Accommodation option: [http://www3.imperial.ac.uk/summeraccommodation Imperial College student halls of residence] can be booked as a bed and breakfast.

 

[[File:Grantham Institute Logo.jpg|none|300px|alt=Grantham Institute Logo.jpg]] 

The workshop is hosted by the [http://www.imperial.ac.uk/grantham Grantham Institute - Climate Change and the Environment].

== Programme ==

'''Thursday morning'''

''From 9:30            Coffee/tea available''

''10.00                   Start''

10.00 – 10.05      Welcome and important information (Stefan)

10.05 – 10.15      What is open-mod (Lion)

10.15 – 10.45      Introduction (everyone)

10.45 – 12.15      Model presentations (plenary)

''12:15 – 12:30      Coffee break''

12.30 – 13.00      Introducing break-out groups (plenary)                 

''13.00 – 14.00      Lunch (on Imperial College campus)''

 

'''Thursday afternoon'''

14.00 – 15.15      Break-out groups 1 (parallel)

15.15 – 15.45      Reporting back (plenary)

''15.45 – 16.15      Coffee break''

16.15 – 17.30      Break-out groups 2 (parallel)

17.30 – 18.00      Reporting back (plenary)

''18.00                   End of day''

''18:30                   Dinner and drinks at the [https://goo.gl/maps/1wJgS Builder's Arms] pub ([https://goo.gl/maps/1wJgS directions from workshop location]) – '''IMPORTANT: you must [http://doodle.com/36hw87wfeifpfcn9 sign up for dinner in advance here]'''''.

 

'''Friday morning'''

''9.00                      Start''

9.00  – 9.15          Summary of first day

9.15  – 9.30          Introducing break-out groups

9.30 – 12.00         Break-out groups 3 (parallel), ''coffee: ongoing''

12.00 – 12.30       Reporting back (plenary)

''12.30 – 13.30       Lunch (on Imperial College campus)''

 

'''Friday afternoon'''

13.30 – 14.30      Buffer

''14.30 – 15.00      Coffee break''

15.00 – 16.00      Wrap up, next workshop

''16.00                   End of workshop'' 

 

 

 

== Model presentations ==

The goal of this session is to get a flavor what people do: What questions are they interested in? What kind of models they apply? Which software tools do they use? How do they interact with the modelling community? This is not about presenting a research paper or discussing in-depth modelling methodology. Not more than 2-3 slides per presentation. 

#[http://nemo.ozlabs.org/ NEMO], an open source electricity modelling tool (Ben Elliston, remote)
#Tools for Energy Model Optimization and Analysis ([http://www.temoaproject.org/ Temoa]) (Joe DeCarolis)
#The [http://www.scigrid.de/ SciGRID] model, a network model based on OpenStreetMap (Wided Medjroubi)
#CREST Demand Model v2.0 - An open-source high-resolution stochastic integrated thermal-electrical domestic demand simulation tool (Eoghan McKenna) 
#[https://github.com/tum-ens/urbs urbs] and [https://github.com/ojdo/rivus rivus], two energy system models based on Python (Johannes Dorfner)
#The [http://www.energycommunity.org/ LEAP software system], a software tool for integrated energy planning and climate change mitigation scenario analysis (Charlie Heaps)
#The European Power Market model [https://www.pik-potsdam.de/members/hirth/data/emma.pdf EMMA] (Lion Hirth)
#The [http://open-power-system-data.org/ Open Power System Data] platform, a data hub for power system data (Wolf-Dieter / Ingmar / Lion) 
#Open Energy-Modelling Platform [http://www.rl-institut.de/en/research/optimised_systems/oemof oemof] (Guido Pleßmann) 
#UCED model based on high spatial resolution wind dataset for the UK power system (Thomas Spitz)
#[https://setis.ec.europa.eu/publications/jrc-setis-reports/dispa-set-20-unit-commitment-and-power-dispatch-model DispaSET] - Open-Source unit commitment and optimal dispatch model (Sylvain Quoilin, JRC)
#'''[Presentation session is full -- no further talks can be considered]'''

 

 

 

== Break-out-groups ==

In parallel sessions, we break out into smaller groups to get work done. On the last workshop, we started drafting an article on open modelling, re-worked the openmod-website, compiled an overview of applicable licenses, and developed recommendations for power plant identifiers, among other things.

All groups report back to the plenary and document their work.

=== Proposed break-out groups ===

 

#Open weather data
#Renewables.ninja
#Use of models in government and industry
#Model [[Open Models|Factsheets]]
#Open model testing
#Demand side and storage
#Wind potentials
#Hydro electricity
#The [http://open-power-system-data.org/ Open Power System Data] platform
#Pros and cons of Open Source modelling
#Energy modeling for beginners
#OpenEnergy platform
#Open Access publishing in energy modelling
#Openmod article
#Conference
#[https://docs.google.com/document/d/1CELP_XxPqxcE_002J7Qvwz6MAJBfyVvJtSt6GWgME-4/edit Funders best practice list]
#[[Data|Data sources]] hackathon
#[http://openmod-initiative.org/ Openmod website]
#Which license fits my model?

 

Details are collected in this [https://docs.google.com/document/d/16Hs_JuK56fV9xUVqrWg3zAp-RepjSSA37mj5JfdCbSg/edit#heading=h.8xn9p9kiati3 Google document]. Please fill in missing spots. You are invited to add your name to the group you wish to coordinate or participate in. Expect more groups to be announced in site!

=== Break out groups from last workshop ===

Some of these groups may wish to continue based on the outcomes from the last workshop:

*Transparency checklist for scenarios (Felix) [[:File:Openmod-Transparency Energy Scenarios-Breakout.pdf|Kickoff slide]] | [https://docs.google.com/document/d/1iWV6HNLcuU3NaTLQnIHYFAIIWEnt-Db-FCSg-SJTTyU/edit Results]
*Model fact sheets and website (Jörn) [[:File:Openmod-Website-Breakout.pdf|Kickoff slide]] | [https://docs.google.com/document/d/1f0UFdvb4QM1VNAWYVdWpHnYIttl9n4GApNA-jITvwpI/edit Results]
*Which license fits my model? (Frauke) [[:File:Openmod whichLicenseFits-breakout.pdf|Kickoff slide]] | [https://docs.google.com/document/d/1x8BH1Ev53d6MY8y72cXtbw24uCLk4vaHy2JtGW_iSws/edit Results]
*Open energy system data - concrete steps for collaboration (Simon S) [[:File:Openmod-Concrete steps for open data collaboration-Breakout.pdf|Openmod-Concrete steps for open data collaboration-Breakout.pdf]] | [https://docs.google.com/document/d/179Y1f9U_FuDMWQOJu8Q_1HbUZyzkH52YGws3h4ztk_A/edit# Results]
*Unique identifies for European power plants: how to we get there? (Chris) [https://docs.google.com/document/d/1CL8jKuPkGOLKijcwqxtlTz8-Y0EEN0guGPjs6Vo3OcQ/edit?usp=sharing Results]
*Open energy system data - concrete steps for collaboration (Simon S) [[:File:Openmod-Concrete steps for open data collaboration-Breakout.pdf|Kickoff slide]] | [https://docs.google.com/document/d/179Y1f9U_FuDMWQOJu8Q_1HbUZyzkH52YGws3h4ztk_A/edit# Results] 
*"Best practice" catalogue for funders (Lion) [[:File:Openmod-Best practice-Breakout.pdf|Kickoff slide]] | [https://docs.google.com/document/d/1CELP_XxPqxcE_002J7Qvwz6MAJBfyVvJtSt6GWgME-4/edit Results] 
*Article on benefits and challenges of open source (Eva) [[:File:Openmod-Article-Breakout.pdf|Kickoff slide]] | [https://docs.google.com/document/d/13ZzPHsHnakOjqlDvJphw3bvEVGILYGT7unL-FI4lCmw/edit# Results]
*Weather data [https://docs.google.com/document/d/1USIAqOmEPnP7dNmECOPHIvX9ZYjTU7_ySnluHI4vZfw/edit Results]
*establish a conference on (open) energy system modeling - concrete steps (Berit)

 

== Participants ==

Registration deadline: 10th August 2015

#Stefan Pfenninger (Imperial College London) 
#Lion Hirth (neon) 
#Ingmar Schlecht (University of Basel) 
#Iain Staffell (Imperial College Business School)
#Richard Green (Imperial College Business School)
#Johannes Dorfner (Technische Universität München)
#Clemens Gerbaulet (Technische Universität Berlin)
#Ed Sharp (University College London) 
#Catalina Spataru (University College London)
#Mark Barrett (University College London)
#Graeme Hawker ([[User:Graeme Hawker|profile]]) (University of Strathclyde)
#Warren Hicks (Reading University) 
#Alejandro Dávila (university of Groningen)
#Adrien Schwane (Forschungszentrum Jülich)
#Jörn Richstein (TU Delft, probably via remote link)
#Alice Gunn (University of Reading) 
#Abhishek Shivakumar (KTH) 
#Tom Brown (from October: Frankfurt Institute of Advanced Studies) 
#Giorgio Castagneto Gissey (University College London)
#James Price (UCL)
#David Kleinhans (NEXT ENERGY)
#Wided Medjroubi (NEXT ENERGY)
#CarstenMatke (NEXT ENERGY)
#Daniel Drew (University of Reading)
#Francesco Gardumi (Politecnico di Milano)
#Daniel Crow (Imperial College) 
#Simon Tindemans (Imperial College)
#Guido Pleßmann (Reiner Lemoine Institut [someone else of the institute]) 
#Verena Viskovic (University College London)
#Daniel Huppmann (DIW Berlin)
#Martin Jahn (Europa-Universität Flensburg)
#Wolf-Dieter Bunke (Europa-Universität Flensburg)
#Joe DeCarolis (NC State University)
#Philip Sandwell (Imperial College London)
#Philip Sargent (DECC: Dept. of Energy and Climate Change)
#Frank Obermüller (ewi ER&S, Cologne)
#Koen van Dam (Imperial College London)
#Thomas Spitz (University of Edinburgh)
#Heidi Heinrichs (Forschungszentrum Jülich)
#Sheridan Few (Grantham Institute for Climate Change, Imperial College London)
#Florian Steiner (Grantham Institute for Climate Change, Imperial College London)
#Ajay Gambhir (Grantham Institute for Climate Change, Imperial College London)
#Sylvain Quoilin (Joint Research Center, EU Commission)
#Vignesh Sridharan (KTH) 
#Juan Camilo Herrera (University College London)
#Shai Hassid (University College London)
#Arnaud Koehl (University College London)
#Seán Collins (University College Cork)
#Charlie Heaps (Stockholm Environment Institute and Tufts University, Boston, MA)
#Moritz Schillinger (University of Basel)
#Rembrandt Koppelaar (Imperial College London)
#Simon Sawatzki (Technische Universität Berlin)
#Chris Davis (University of Groningen)
#Paul Deane (university College Cork)
#Ben Elliston (University of New South Wales, join via remote link)
#Maragatham (University College London)
#Grant Wilson (Sheffield)
#Angela Francis (Green Alliance) 
#Martin Glauer (OvGU Magdeburg) 
#Hannah Bloomfield (University of Reading) 
#Kaveri Iychettira (Delft University of Technology, KTH) 
#Mark Howells (KTH) 
#Fabrizio Fattori (University of Pavia) 
#Daniel Hdidouan (Arup)
#'''-- Registration is now closed; but you can add your name to the waiting list below. --'''

 Waiting list:

#...'''add your name here'''... Waiting list is open: just [[Special:RequestAccount|register with this wiki]] and click edit on this page. 

 [[Events|Back to events overview]]

EnergyNumbers-Balancing

2015-09-08T19:04:36Z

Andrew ZP Smith:

{{Model
|Full_Model_Name=EnergyNumbers-Balancing
|author_institution=UCL Energy Institute
|authors=[[user:Andrew ZP Smith|Andrew ZP Smith]]
|contact_persons=Andrew ZP Smith
|contact_email=andrew.smith@ucl.ac.uk
|website=http://energynumbers.info/balancing
|source_download=https://github.com/RCUK-CEE/energynumbers-balancing
|logo=EnergyNumbers-logo400.png
|text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage. Please do email me if you'd like to request early access to the source, and mention your github username.
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=No
|data_availability=some
|open_future=Yes
|modelling_software=Fortran, PHP, Javascript, HTML, CSS
|processing_software=Matlab, Python
|model_class=Simulating storage and exogenously-variable renewables
|sectors=Electricity
|technologies=Renewables
|decisions=dispatch
|georegions=Germany, Britain
|georesolution=National
|timeresolution=Hour
|math_modeltype=Simulation
|math_modeltype_shortdesc=Historic (half-)hourly wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy.
|deterministic=Deterministic
|is_suited_for_many_scenarios=Yes
|number_of_variables=28
|computation_time_minutes=0.00001
|computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly
|example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.
}}

EnergyNumbers-Balancing

2015-09-08T19:03:54Z

Andrew ZP Smith:

{{Model
|Full_Model_Name=EnergyNumbers-Balancing
|author_institution=UCL Energy Institute
|authors=[[user:Andrew ZP Smith|Andrew ZP Smith]]
|contact_persons=Andrew ZP Smith
|contact_email=andrew.smith@ucl.ac.uk
|website=http://energynumbers.info/balancing
|source_download=https://github.com/RCUK-CEE/energynumbers-balancing
|logo=EnergyNumbers-logo400.png
|text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage. Please do email me if you'd like to request early access to the source.
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=No
|data_availability=some
|open_future=Yes
|modelling_software=Fortran, PHP, Javascript, HTML, CSS
|processing_software=Matlab, Python
|model_class=Simulating storage and exogenously-variable renewables
|sectors=Electricity
|technologies=Renewables
|decisions=dispatch
|georegions=Germany, Britain
|georesolution=National
|timeresolution=Hour
|math_modeltype=Simulation
|math_modeltype_shortdesc=Historic (half-)hourly wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy.
|deterministic=Deterministic
|is_suited_for_many_scenarios=Yes
|number_of_variables=28
|computation_time_minutes=0.00001
|computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly
|example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.
}}

EnergyNumbers-Balancing

2015-09-08T18:58:35Z

Andrew ZP Smith: add link to my user profile here

{{Model
|Full_Model_Name=EnergyNumbers-Balancing
|author_institution=UCL Energy Institute
|authors=[http://wiki.openmod-initiative.org/wiki/User:Andrew_ZP_Smith Andrew ZP Smith]
|contact_persons=Andrew ZP Smith
|contact_email=andrew.smith@ucl.ac.uk
|website=http://energynumbers.info/balancing
|source_download=https://github.com/RCUK-CEE/energynumbers-balancing
|logo=EnergyNumbers-logo400.png
|text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage. Please do email me if you'd like to request early access to the source.
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=No
|data_availability=some
|open_future=Yes
|modelling_software=Fortran, PHP, Javascript, HTML, CSS
|processing_software=Matlab, Python
|model_class=Simulating storage and exogenously-variable renewables
|sectors=Electricity
|technologies=Renewables
|decisions=dispatch
|georegions=Germany, Britain
|georesolution=National
|timeresolution=Hour
|math_modeltype=Simulation
|math_modeltype_shortdesc=Historic (half-)hourly wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy.
|deterministic=Deterministic
|is_suited_for_many_scenarios=Yes
|number_of_variables=28
|computation_time_minutes=0.00001
|computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly
|example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.
}}

UCL Energy Institute

2015-09-08T18:41:46Z

Andrew ZP Smith: add link to main UCL models page

{{Institution
|Full Name=Energy Institute, University College London
|Abbreviation=UCL Energy Institute
|Website=http://ucl.ac.uk/energy
|Address=Central House, 1st Floor; 14 Upper Woburn Place; London WC1H 0NN
|Email=energy@ucl.ac.uk
}}
The[http://www.ucl.ac.uk/energy-models UCL Energy Institute has several modelling teams]. see that link for a fuller list. Here are some highlights:

The [http://www.wholesem.ac.uk/ WholeSEM (Whole Systems Energy Modelling)] team is a national consortium with representatives in the UCL Energy Institute.

The [https://www.bartlett.ucl.ac.uk/energy/news/energyspacetime-success EnergySpaceTime] team is part of the UCL Energy Institute.

The [https://www.bartlett.ucl.ac.uk/energy/research/themes/buildings domestic and non-domestic stock modelling], and [https://www.bartlett.ucl.ac.uk/energy/research/themes/transport transport modelling] teams are based partly within the [http://energy-epidemiology.info/ RCUK Centre for Energy Epidemiology], and within other parts of the Energy Institute.

UCL Energy Institute

2015-09-08T18:36:50Z

Andrew ZP Smith:

{{Institution
|Full Name=Energy Institute, University College London
|Abbreviation=UCL Energy Institute
|Website=http://ucl.ac.uk/energy
|Address=Central House, 1st Floor; 14 Upper Woburn Place; London WC1H 0NN
|Email=energy@ucl.ac.uk
}}
The UCL Energy Institute has several modelling teams.

The [http://www.wholesem.ac.uk/ WholeSEM (Whole Systems Energy Modelling)] team is a national consortium with representatives in the UCL Energy Institute.

The [https://www.bartlett.ucl.ac.uk/energy/news/energyspacetime-success EnergySpaceTime] team is part of the UCL Energy Institute.

The [https://www.bartlett.ucl.ac.uk/energy/research/themes/buildings domestic and non-domestic stock modelling], and [https://www.bartlett.ucl.ac.uk/energy/research/themes/transport transport modelling] teams are based partly within the [http://energy-epidemiology.info/ RCUK Centre for Energy Epidemiology], and within other parts of the Energy Institute.

UCL Energy Institute

2015-09-08T18:32:37Z

Andrew ZP Smith: adding fixed-field info

EnergyNumbers-Balancing

2015-09-07T09:31:56Z

Andrew ZP Smith:

{{Model
|Full_Model_Name=EnergyNumbers-Balancing
|author_institution=UCL Energy Institute
|authors=Andrew ZP Smith
|contact_persons=Andrew ZP Smith
|contact_email=andrew.smith@ucl.ac.uk
|website=http://energynumbers.info/balancing
|source_download=https://github.com/RCUK-CEE/energynumbers-balancing
|logo=EnergyNumbers-logo400.png
|text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage. Please do email me if you'd like to request early access to the source.
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=No
|data_availability=some
|open_future=Yes
|modelling_software=Fortran, PHP, Javascript, HTML, CSS
|processing_software=Matlab, Python
|model_class=Simulating storage and exogenously-variable renewables
|sectors=Electricity
|technologies=Renewables
|decisions=dispatch
|georegions=Germany, Britain
|georesolution=National
|timeresolution=Hour
|math_modeltype=Simulation
|math_modeltype_shortdesc=Historic (half-)hourly wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy.
|deterministic=Deterministic
|is_suited_for_many_scenarios=Yes
|number_of_variables=28
|computation_time_minutes=0.00001
|computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly
|example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.
}}

EnergyNumbers-Balancing

2015-09-07T08:23:19Z

Andrew ZP Smith: First public announcement of the model's existence

{{Model
|Full_Model_Name=EnergyNumbers-Balancing
|author_institution=UCL Energy Institute
|authors=Andrew ZP Smith
|contact_persons=Andrew ZP Smith
|contact_email=andrew.smith@ucl.ac.uk
|website=http://energynumbers.info/balancing
|source_download=https://github.com/RCUK-CEE/energynumbers-balancing
|logo=EnergyNumbers-logo400.png
|text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage.
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=No
|data_availability=some
|open_future=Yes
|modelling_software=Fortran, PHP, Javascript, HTML, CSS
|processing_software=Matlab, Python
|model_class=Simulating storage and exogenously-variable renewables
|sectors=Electricity
|technologies=Renewables
|decisions=dispatch
|georegions=Germany, Britain
|georesolution=National
|timeresolution=Hour
|math_modeltype=Simulation
|math_modeltype_shortdesc=Historic (half-)hourly wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy.
|deterministic=Deterministic
|is_suited_for_many_scenarios=Yes
|number_of_variables=28
|computation_time_minutes=0.00001
|computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly
|example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.
}}

File:EnergyNumbers-logo400.png

2015-09-07T08:14:17Z

Andrew ZP Smith:

Data

2015-09-05T09:36:21Z

Andrew ZP Smith: /* Model relelvant data */

This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets.
You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.

== Model relevant data ==

Please note that red links indicate planned, but not yet filled pages. You are welcome to start creating the missing pages and breathe life into them.

*[[Electricity demand|Electricity demand]]
*[[Wind profiles|Wind profiles]]
*[[Power plant portfolios|Power plant portfolios]]
*[[Transmission network topologies|Transmission network topologies]]

 

== Various other open energy data sources ==

*[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.
*[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://data.reegle.info/ reegle] is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.
*[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.
*[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.

== Data sharing techniques ==

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.

'''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.

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.

== Data extraction scripts ==

Feel free to add scripts here, by creating a new wiki page, or place them on [https://gist.github.com/ Github Gists].

*[https://gitlab.tubit.tu-berlin.de/electricity-modeling/crossborder-skript ENTSOE Cross-border Trading Flows Extraction Script by TU Berlin]

Electricity demand

2015-09-05T09:33:57Z

Andrew ZP Smith:

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.

[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

Electricity demand

2015-09-05T09:28:58Z

Andrew ZP Smith: Created page with " 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/defau..."

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.

[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.