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Open Source Electricity Model for Germany (ELMOD-DE)

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  • Jonas Egerer

Abstract

This data documentation introduces to nodal dispatch models and the literature of the ELMOD model framework, which focuses on bottom-up electricity sector models with detailed spatial representation of the transmission system. The paper provides the technical description of ELMOD-DE, a nodal DC load flow model for the German electricity sector. In alignment with this paper, the described model, including its GAMS code and dataset, is made publicly available as open source model on the website of the DIW Berlin. The dataset uses publicly accessible data sources and includes hourly system data for the German electricity sector of the year 2012. The data documentation also illustrates the variety of insights into the German electricity system, ELMOD-DE provides on nodal level, with examples for hourly nodal system states and aggregated results.

Suggested Citation

  • Jonas Egerer, 2016. "Open Source Electricity Model for Germany (ELMOD-DE)," Data Documentation 83, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwddc:dd83
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    File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.528927.de/diw_datadoc_2016-083.pdf
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    References listed on IDEAS

    as
    1. Gabriel, Steven A. & Leuthold, Florian U., 2010. "Solving discretely-constrained MPEC problems with applications in electric power markets," Energy Economics, Elsevier, vol. 32(1), pages 3-14, January.
    2. Juan Rosellón & Hannes Weigt, 2011. "A Dynamic Incentive Mechanism for Transmission Expansion in Electricity Networks: Theory, Modeling, and Application," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 119-148.
    3. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
    4. Egerer, Jonas & Kunz, Friedrich & Hirschhausen, Christian von, 2013. "Development scenarios for the North and Baltic Seas Grid – A welfare economic analysis," Utilities Policy, Elsevier, vol. 27(C), pages 123-134.
    5. Casimir Lorenz & Clemens Gerbaulet, 2014. "New Cross-Border Electricity Balancing Arrangements in Europe," Discussion Papers of DIW Berlin 1400, DIW Berlin, German Institute for Economic Research.
    6. Huppmann, Daniel & Egerer, Jonas, 2015. "National-strategic investment in European power transmission capacity," European Journal of Operational Research, Elsevier, vol. 247(1), pages 191-203.
    7. Jan Abrell & Friedrich Kunz, 2015. "Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market," Networks and Spatial Economics, Springer, vol. 15(1), pages 117-147, March.
    8. repec:aen:journl:eeep3_2_03egerer is not listed on IDEAS
    9. Jan Abrell & Hannes Weigt, 2012. "Combining Energy Networks," Networks and Spatial Economics, Springer, vol. 12(3), pages 377-401, September.
    10. Hannes Weigt & Jan Abrell, 2012. "Storage and Investments in a Combined Energy Network Model," EcoMod2012 4319, EcoMod.
    11. 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).
    12. Roman Mendelevitch & Pao-Yu Oei, 2015. "The Impact of Policy Measures on Future Power Generation Portfolio and Infrastructure: A Combined Electricity and CCTS Investment and Dispatch Model (ELCO)," Discussion Papers of DIW Berlin 1521, DIW Berlin, German Institute for Economic Research.
    13. Schlecht, Ingmar & Weigt, Hannes, 2014. "Swissmod - a model of the Swiss electricity market," Working papers 2014/04, Faculty of Business and Economics - University of Basel.
    14. Jonas Egerer & Roman Mendelevitch & Christian von Hirschhausen, 2014. "A Lower Carbon Strategy for the Electricity Sector of Kazakhstan to 2030/50: Scenarios for Generation and Network Development ; Technical Report," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 85, number pbk85.
    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. Florian Leuthold & Hannes Weigt & Christian Hirschhausen, 2012. "A Large-Scale Spatial Optimization Model of the European Electricity Market," Networks and Spatial Economics, Springer, vol. 12(1), pages 75-107, March.
    17. Clemens Gerbaulet & Alexander Weber, 2014. "Is There Still a Case for Merchant Interconnectors?: Insights from an Analysis of Welfare and Distributional Aspects of Options for Network Expansion in the Baltic Sea Region," Discussion Papers of DIW Berlin 1404, DIW Berlin, German Institute for Economic Research.
    18. Weigt, Hannes & Jeske, Till & Leuthold, Florian & von Hirschhausen, Christian, 2010. ""Take the long way down": Integration of large-scale North Sea wind using HVDC transmission," Energy Policy, Elsevier, vol. 38(7), pages 3164-3173, July.
    19. 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.
    20. Schill, Wolf-Peter & Egerer, Jonas & Rosellón, Juan, 2015. "Testing Regulatory Regimes for Power Transmission Expansion with Fluctuating Demand and Wind Generation," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 1-28.
    21. 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).
    22. Kunz, Friedrich & Zerrahn, Alexander, 2015. "Benefits of coordinating congestion management in electricity transmission networks: Theory and application to Germany," Utilities Policy, Elsevier, vol. 37(C), pages 34-45.
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    Cited by:

    1. Egerer, Jonas & Weibezahn, Jens & Hermann, Hauke, 2016. "Two price zones for the German electricity market — Market implications and distributional effects," Energy Economics, Elsevier, vol. 59(C), pages 365-381.
    2. Zepter, Jan Martin & Weibezahn, Jens, 2019. "Unit commitment under imperfect foresight – The impact of stochastic photovoltaic generation," Applied Energy, Elsevier, vol. 243(C), pages 336-349.
    3. Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
    4. Assembayeva, Makpal & Egerer, Jonas & Mendelevitch, Roman & Zhakiyev, Nurkhat, 2018. "A spatial electricity market model for the power system: The Kazakhstan case study," Energy, Elsevier, vol. 149(C), pages 762-778.
    5. Lang, Lukas Maximilian & Dallinger, Bettina & Lettner, Georg, 2020. "The meaning of flow-based market coupling on redispatch measures in Austria," Energy Policy, Elsevier, vol. 136(C).

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