IDEAS home Printed from https://ideas.repec.org/a/zbw/espost/231989.html
   My bibliography  Save this article

Open Power System Data – Frictionless data for electricity system modelling

Author

Listed:
  • Wiese, Frauke
  • Schlecht, Ingmar
  • Bunke, Wolf-Dieter
  • Gerbaulet, Clemens
  • Hirth, Lion
  • Jahn, Martin
  • Kunz, Friedrich
  • Lorenz, Casimir
  • Mühlenpfordt, Jonathan
  • Reimann, Juliane
  • Schill, Wolf-Peter

Abstract

The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and partly contains errors. We argue that a central provision of input data for modelling has the character of a public good: it reduces overall societal costs for quantitative energy research as redundant work is avoided, and it improves transparency and reproducibility in electricity system modelling. This paper describes the Open Power System Data platform that aims at realising the efficiency and quality gains of centralised data provision by collecting, checking, processing, aggregating, documenting and publishing data required by most modellers. We conclude that the platform can provide substantial benefits to energy system analysis by raising efficiency of data pre-processing, providing a method for making data pre-processing for energy system modelling traceable, flexible and reproducible and improving the quality of original data published by data providers.

Suggested Citation

  • Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 236, pages 401-409.
    • Handle: RePEc:zbw:espost:231989
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/231989/1/Wiese_et_al_APEN_2019_AV.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:aen:journl:eeep3_2_03egerer is not listed on IDEAS
    2. Wolf-Peter Schill, Alexander Zerrahn, and Friedrich Kunz, 2017. "Prosumage of solar electricity: pros, cons, and the system perspective," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    3. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    4. Pfenninger, Stefan & Hirth, Lion & Schlecht, Ingmar & Schmid, Eva & Wiese, Frauke & Brown, Tom & Davis, Chris & Gidden, Matthew & Heinrichs, Heidi & Heuberger, Clara & Hilpert, Simon & Krien, Uwe & Ma, 2018. "Opening the black box of energy modelling: Strategies and lessons learned," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19, pages 63-71.
    5. Kunz, Friedrich, 2018. "Quo Vadis? (Un)scheduled electricity flows under market splitting and network extension in central Europe," Energy Policy, Elsevier, vol. 116(C), pages 198-209.
    6. Hirth, Lion & Mühlenpfordt, Jonathan & Bulkeley, Marisa, 2018. "The ENTSO-E Transparency Platform – A review of Europe’s most ambitious electricity data platform," Applied Energy, Elsevier, vol. 225(C), pages 1054-1067.
    7. Zerrahn, Alexander & Schill, Wolf-Peter & Kemfert, Claudia, 2018. "On the economics of electrical storage for variable renewable energy sources," European Economic Review, Elsevier, vol. 108(C), pages 259-279.
    8. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    9. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    10. Gambardella, Christian & Pahle, Michael, 2018. "Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply," Energy Economics, Elsevier, vol. 76(C), pages 257-273.
    11. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    12. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    13. Friedrich Kunz, 2013. "Improving Congestion Management: How to Facilitate the Integration of Renewable Generation in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    14. Huntington, Hillard G & Weyant, John P & Sweeney, James L, 1982. "Modeling for insights, not numbers: the experiences of the energy modeling forum," Omega, Elsevier, vol. 10(5), pages 449-462.
    15. Ingmar Schlecht & Hannes Weigt, 2015. "Linking Europe: The Role of the Swiss Electricity Transmission Grid until 2050," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 151(II), pages 39-79, June.
    16. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
    17. Olauson, Jon, 2018. "ERA5: The new champion of wind power modelling?," Renewable Energy, Elsevier, vol. 126(C), pages 322-331.
    18. Wolf-Peter Schill & Michael Pahle & Christian Gambardella, 2017. "Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation," Nature Energy, Nature, vol. 2(6), pages 1-6, June.
    19. Jonas Egerer and Wolf-Peter Schill, 2014. "Power System Transformation toward Renewables: Investment Scenarios for Germany," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    20. Jonas Egerer, Clemens Gerbaulet, and Casimir Lorenz, 2016. "European Electricity Grid Infrastructure Expansion in a 2050 Context," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).
    21. Lion Hirth, 2018. "What caused the drop in European electricity prices? A factor decomposition analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    22. Schill, Wolf-Peter & Gerbaulet, Clemens, 2015. "Power System Impacts of Electric Vehicles in Germany: Charging with Coal or Renewables," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 156, pages 185-196.
    23. Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Long-run power storage requirements for high shares of renewables: Results and sensitivities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 156-171.
    24. Noha H. El-Amary & Alsnosy Balbaa & R. A. Swief & T. S. Abdel-Salam, 2018. "A Reconfigured Whale Optimization Technique (RWOT) for Renewable Electrical Energy Optimal Scheduling Impact on Sustainable Development Applied to Damietta Seaport, Egypt," Energies, MDPI, vol. 11(3), pages 1-25, March.
    25. Stefan Pfenninger, 2017. "Energy scientists must show their workings," Nature, Nature, vol. 542(7642), pages 393-393, February.
    26. Jonas Egerer & Clemens Gerbaulet & Richard Ihlenburg & Friedrich Kunz & Benjamin Reinhard & Christian von Hirschhausen & Alexander Weber & Jens Weibezahn, 2014. "Electricity Sector Data for Policy-Relevant Modeling: Data Documentation and Applications to the German and European Electricity Markets," Data Documentation 72, DIW Berlin, German Institute for Economic Research.
    27. Pfenninger, Stefan & DeCarolis, Joseph & Hirth, Lion & Quoilin, Sylvain & Staffell, Iain, 2017. "The importance of open data and software: Is energy research lagging behind?," Energy Policy, Elsevier, vol. 101(C), pages 211-215.
    28. Gerbaulet, C. & Weber, A., 2018. "When regulators do not agree: Are merchant interconnectors an option? Insights from an analysis of options for network expansion in the Baltic Sea region," Energy Policy, Elsevier, vol. 117(C), pages 228-246.
    29. Ulf Philipp Müller & Ilka Cussmann & Clemens Wingenbach & Jochen Wendiggensen, 2017. "AC Power Flow Simulations within an Open Data Model of a High Voltage Grid," Progress in IS, in: Volker Wohlgemuth & Frank Fuchs-Kittowski & Jochen Wittmann (ed.), Advances and New Trends in Environmental Informatics, pages 181-193, Springer.
    30. Frauke Wiese & Gesine Bökenkamp & Clemens Wingenbach & Olav Hohmeyer, 2014. "An open source energy system simulation model as an instrument for public participation in the development of strategies for a sustainable future," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(5), pages 490-504, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Günther, Claudia & Schill, Wolf-Peter & Zerrahn, Alexander, 2021. "Prosumage of solar electricity: Tariff design, capacity investments, and power sector effects," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 152.
    2. Héctor Marañón-Ledesma & Asgeir Tomasgard, 2019. "Analyzing Demand Response in a Dynamic Capacity Expansion Model for the European Power Market," Energies, MDPI, vol. 12(15), pages 1-24, August.
    3. Mahler, Valentin & Girard, Robin & Kariniotakis, Georges, 2022. "Data-driven structural modeling of electricity price dynamics," Energy Economics, Elsevier, vol. 107(C).
    4. Md. Nasimul Islam Maruf, 2021. "A Novel Method for Analyzing Highly Renewable and Sector-Coupled Subnational Energy Systems—Case Study of Schleswig-Holstein," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    5. Zech, Matthias & von Bremen, Lueder, 2024. "End-to-end learning of representative PV capacity factors from aggregated PV feed-ins," Applied Energy, Elsevier, vol. 361(C).
    6. Schill, Wolf-Peter & Zerrahn, Alexander, 2020. "Flexible electricity use for heating in markets with renewable energy," Applied Energy, Elsevier, vol. 266(C).
    7. Arjuna Nebel & Julián Cantor & Sherif Salim & Amro Salih & Dixit Patel, 2022. "The Role of Renewable Energies, Storage and Sector-Coupling Technologies in the German Energy Sector under Different CO 2 Emission Restrictions," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    8. Viktorija Bobinaite & Marialaura Di Somma & Giorgio Graditi & Irina Oleinikova, 2019. "The Regulatory Framework for Market Transparency in Future Power Systems under the Web-of-Cells Concept," Energies, MDPI, vol. 12(5), pages 1-26, March.
    9. Javier L'opez Prol & Wolf-Peter Schill, 2020. "The Economics of Variable Renewables and Electricity Storage," Papers 2012.15371, arXiv.org.
    10. Lledó, Llorenç & Ramon, Jaume & Soret, Albert & Doblas-Reyes, Francisco-Javier, 2022. "Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices," Renewable Energy, Elsevier, vol. 186(C), pages 420-430.
    11. Marañón-Ledesma, Hector & Tomasgard, Asgeir, 2019. "Long-Term Electricity Investments Accounting for Demand and Supply Side Flexibility," MPRA Paper 93341, University Library of Munich, Germany.
    12. Gambardella, Christian & Pahle, Michael & Schill, Wolf-Peter, 2020. "Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Retail Pricing Under Carbon Taxation and Variable Renewable Electricity Supply," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 75(1), pages 183-213.
    13. Yongrui Qin & Meng Zhao & Qingcheng Lin & Xuefeng Li & Jing Ji, 2022. "Data-Driven Building Energy Consumption Prediction Model Based on VMD-SA-DBN," Mathematics, MDPI, vol. 10(17), pages 1-10, August.
    14. Valentin Mahler & Robin Girard & Georges Kariniotakis, 2021. "Data-driven Structural Modeling of Electricity Price Dynamics," Working Papers hal-03445396, HAL.
    15. Claudia Gunther & Wolf-Peter Schill & Alexander Zerrahn, 2019. "Prosumage of solar electricity: tariff design, capacity investments, and power system effects," Papers 1907.09855, arXiv.org.
    16. Daniel Wuebben & Juan Romero-Luis & Manuel Gertrudix, 2020. "Citizen Science and Citizen Energy Communities: A Systematic Review and Potential Alliances for SDGs," Sustainability, MDPI, vol. 12(23), pages 1-24, December.
    17. Fabian Stöckl & Alexander Zerrahn, 2023. "Substituting Clean for Dirty Energy: A Bottom-Up Analysis," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(3), pages 819-863.
    18. Jens Weibezahn & Mario Kendziorski, 2019. "Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language," Energies, MDPI, vol. 12(6), pages 1-21, March.
    19. Drücke, Jaqueline & Borsche, Michael & James, Paul & Kaspar, Frank & Pfeifroth, Uwe & Ahrens, Bodo & Trentmann, Jörg, 2021. "Climatological analysis of solar and wind energy in Germany using the Grosswetterlagen classification," Renewable Energy, Elsevier, vol. 164(C), pages 1254-1266.
    20. Alexander Roth & Carlos Gaete-Morales & Dana Kirchem & Wolf-Peter Schill, 2023. "Power sector benefits of flexible heat pumps," Papers 2307.12918, arXiv.org, revised Oct 2024.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Candas, Soner & Muschner, Christoph & Buchholz, Stefanie & Bramstoft, Rasmus & van Ouwerkerk, Jonas & Hainsch, Karlo & Löffler, Konstantin & Günther, Stephan & Berendes, Sarah & Nguyen, Stefanie & Jus, 2022. "Code exposed: Review of five open-source frameworks for modeling renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    2. Maximilian Parzen & Fabian Neumann & Addrian H. Van Der Weijde & Daniel Friedrich & Aristides Kiprakis, 2021. "Beyond cost reduction: Improving the value of energy storage in electricity systems," Papers 2101.10092, arXiv.org, revised Jul 2022.
    3. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    4. Fabian Scheller & Frauke Wiese & Jann Michael Weinand & Dominik Franjo Dominkovi'c & Russell McKenna, 2021. "An expert survey to assess the current status and future challenges of energy system analysis," Papers 2106.15518, arXiv.org.
    5. Felder, F.A. & Kumar, P., 2021. "A review of existing deep decarbonization models and their potential in policymaking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    6. Md. Nasimul Islam Maruf, 2019. "Sector Coupling in the North Sea Region—A Review on the Energy System Modelling Perspective," Energies, MDPI, vol. 12(22), pages 1-35, November.
    7. Savvidis, Georgios & Siala, Kais & Weissbart, Christoph & Schmidt, Lukas & Borggrefe, Frieder & Kumar, Subhash & Pittel, Karen & Madlener, Reinhard & Hufendiek, Kai, 2019. "The gap between energy policy challenges and model capabilities," Energy Policy, Elsevier, vol. 125(C), pages 503-520.
    8. Dominković, D.F. & Weinand, J.M. & Scheller, F. & D'Andrea, M. & McKenna, R., 2022. "Reviewing two decades of energy system analysis with bibliometrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    9. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    10. Javier L'opez Prol & Wolf-Peter Schill, 2020. "The Economics of Variable Renewables and Electricity Storage," Papers 2012.15371, arXiv.org.
    11. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    12. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    13. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    14. Jonas Egerer, 2016. "Open Source Electricity Model for Germany (ELMOD-DE)," Data Documentation 83, DIW Berlin, German Institute for Economic Research.
    15. Prina, Matteo Giacomo & Nastasi, Benedetto & Groppi, Daniele & Misconel, Steffi & Garcia, Davide Astiaso & Sparber, Wolfram, 2022. "Comparison methods of energy system frameworks, models and scenario results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    16. Stöckl, Fabian & Schill, Wolf-Peter & Zerrahn, Alexander, 2021. "Optimal supply chains and power sector benefits of green hydrogen," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11.
    17. Zerrahn, Alexander & Schill, Wolf-Peter & Kemfert, Claudia, 2018. "On the economics of electrical storage for variable renewable energy sources," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 108, pages 259-279.
    18. Abuzayed, Anas & Hartmann, Niklas, 2022. "MyPyPSA-Ger: Introducing CO2 taxes on a multi-regional myopic roadmap of the German electricity system towards achieving the 1.5 °C target by 2050," Applied Energy, Elsevier, vol. 310(C).
    19. Lombardi, Francesco & Rocco, Matteo Vincenzo & Colombo, Emanuela, 2019. "A multi-layer energy modelling methodology to assess the impact of heat-electricity integration strategies: The case of the residential cooking sector in Italy," Energy, Elsevier, vol. 170(C), pages 1249-1260.
    20. Fabian Stöckl & Alexander Zerrahn, 2023. "Substituting Clean for Dirty Energy: A Bottom-Up Analysis," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(3), pages 819-863.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:espost:231989. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.