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ELMOD - A Model of the European Electricity Market

Author

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  • Leuthold, Florian
  • Weigt, Hannes
  • von Hirschhausen, Christian

Abstract

This paper provides a description of ELMOD, a model of the European electricity market including both generation and the physical transmission network (DC Load Flow approach). The model was developed at the Chair of Energy Economics and Public Sector Management (EE2) at Dresden University of Technology in order to analyze various questions on market design, congestion management, and investment decisions, with a focus on Germany and Continental Europe. ELMOD is a bottom-up model combining electrical engineering and economics: its objective function is welfare maximization, subject to line flow, energy balance, and generation constraints. The model provides simulations on an hourly basis, taking into account variable demand, wind input, unit commitment, start-up costs, pump storage, and other details. We report selected study results using ELMOD.

Suggested Citation

  • Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "ELMOD - A Model of the European Electricity Market," MPRA Paper 65660, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:65660
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    File URL: https://mpra.ub.uni-muenchen.de/65660/1/wp_em_00_ELMOD.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Després, Jacques & Hadjsaid, Nouredine & Criqui, Patrick & Noirot, Isabelle, 2015. "Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools," Energy, Elsevier, vol. 80(C), pages 486-495.
    2. Lüth, Alexandra & Seifert, Paul E. & Egging-Bratseth, Ruud & Weibezahn, Jens, 2023. "How to connect energy islands: Trade-offs between hydrogen and electricity infrastructure," Applied Energy, Elsevier, vol. 341(C).
    3. Karel Janda & Jan Malek & Lukas Recka, 2017. "Influence of Renewable Energy Sources on Electricity Transmission Networks in Central Europe," Working Papers IES 2017/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2017.
    4. Wolf-Peter Schill & Claudia Kemfert, 2011. "Modeling Strategic Electricity Storage: The Case of Pumped Hydro Storage in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-88.
    5. Jacques Després, 2015. "Development of a dispatch model of the European power system for coupling with a long-term foresight energy model," Working Papers hal-01245554, HAL.
    6. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Bridging the scales: A conceptual model for coordinated expansion of renewable power generation, transmission and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2687-2695.
    7. Leuthold, Florian & Jeske, Till & Weigt, Hannes & von Hirschhausen, Christian, 2009. "When the Wind Blows Over Europe: A Simulation Analysis and the Impact of Grid Extensions," MPRA Paper 65655, University Library of Munich, Germany.
    8. Jacques Després & Patrick Criqui & Silvana Mima & Nouredine Hadjsaid & Isabelle Noirot, 2014. "Variable renewable energies and storage development in long term energy modelling tools," Post-Print hal-01279467, HAL.
    9. Schroeder, Andreas & Oei, Pao-Yu & Sander, Aram & Hankel, Lisa & Laurisch, Lilian Charlotte, 2013. "The integration of renewable energies into the German transmission grid—A scenario comparison," Energy Policy, Elsevier, vol. 61(C), pages 140-150.
    10. Ionescu Mihaela, 2014. "European Energy Interconnection Effects On The Romanian Economy," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 482-491, July.
    11. Rehfeldt, Daniel & Hobbie, Hannes & Schönheit, David & Koch, Thorsten & Möst, Dominik & Gleixner, Ambros, 2022. "A massively parallel interior-point solver for LPs with generalized arrowhead structure, and applications to energy system models," European Journal of Operational Research, Elsevier, vol. 296(1), pages 60-71.
    12. Jacques Després & Patrick Criqui & Silvana Mima & Nouredine Hadjsaid & Isabelle Noirot, 2014. "Analysing the interactions between Variable Renewable Energies, electricity storage and grid in long term energy modelling tools," Post-Print hal-01279461, HAL.
    13. Jan Abrell & Hannes Weigt, 2012. "Combining Energy Networks," Networks and Spatial Economics, Springer, vol. 12(3), pages 377-401, September.
    14. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Decarbonization scenarios for the EU and MENA power system: Considering spatial distribution and short term dynamics of renewable generation," Energy Policy, Elsevier, vol. 47(C), pages 282-290.
    15. Rademeyer, Maryke C. & Minnitt, Richard C.A. & Falcon, Rosemary M.S., 2018. "Revisiting operating cost in resource extraction industries," Resources Policy, Elsevier, vol. 58(C), pages 159-164.
    16. Fraunholz, Christoph & Hladik, Dirk & Keles, Dogan & Möst, Dominik & Fichtner, Wolf, 2021. "On the long-term efficiency of market splitting in Germany," Energy Policy, Elsevier, vol. 149(C).
    17. Karel Janda & Jan Málek & Lukáš Rečka, 2017. "Vliv obnovitelných zdrojů na českou soustavu přenosu elektřiny [The Impact of Renewable Energy Sources on the Czech Electricity Transmission System]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(6), pages 728-750.
    18. Dietrich, Kristin & Leuthold, Florian & Weigt, Hannes, 2009. "Will the Market Get it Right? The Placing of New Power Plants in Germany," MPRA Paper 65653, University Library of Munich, Germany.
    19. Yoro, Kelvin O. & Daramola, Michael O. & Sekoai, Patrick T. & Wilson, Uwemedimo N. & Eterigho-Ikelegbe, Orevaoghene, 2021. "Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    20. J. Micha Steinhäuser & Klaus Eisenack, 2015. "Spatial incidence of large-scale power plant curtailment costs," Working Papers V-379-15, University of Oldenburg, Department of Economics, revised Jul 2015.
    21. Li, Yanfei & Chang, Youngho, 2015. "Infrastructure investments for power trade and transmission in ASEAN+2: Costs, benefits, long-term contracts and prioritized developments," Energy Economics, Elsevier, vol. 51(C), pages 484-492.
    22. 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).
    23. Karel Janda & Jan Malek & Lukas Recka, 2017. "The Influence of Renewable Energy Sources on the Czech Electricity Transmission System," Working Papers IES 2017/06, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Mar 2017.

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    More about this item

    Keywords

    Electricity markets; Energy pricing; Network modeling;
    All these keywords.

    JEL classification:

    • D41 - Microeconomics - - Market Structure, Pricing, and Design - - - Perfect Competition
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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