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The European Electricity Market Model EMMA - Model Description

Author

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  • Hirth, Lion
  • Ruhnau, Oliver
  • Sgarlato, Raffaele

Abstract

The Electricity Market Model EMMA is a techno-economic model of the integrated European power system. It simulates investment, dispatch, and trade, minimizing total costs subject to a large set of technical constraints. In economics terms, it is a partial equilibrium model of the wholesale electricity market. It calculates scenario-based or green-field optima (equilibria) and estimates the corresponding capacity mix as well as hourly prices, generation, storage dispatch, flexible consumption, and cross-border trade for each market area. Technically, EMMA is a linear program, written in GAMS and solved by CPLEX on a desktop computer in about two hours. EMMA has been used for a number of peer-reviewed publications as well as in consulting projects. EMMA is open-source: the model code and input data are freely available under the MIT Software License and the Create Commons BY-SA 4.0 License, respectively, and can be downloaded from https://github.com/emma-model

Suggested Citation

  • Hirth, Lion & Ruhnau, Oliver & Sgarlato, Raffaele, 2021. "The European Electricity Market Model EMMA - Model Description," EconStor Preprints 244592, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:244592
    Note: Latest version: https://emma-model.com/documentation
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    File URL: https://www.econstor.eu/bitstream/10419/244592/1/EMMA%20Model%20Description.pdf
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    References listed on IDEAS

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    1. Ruhnau, Oliver, 2022. "How flexible electricity demand stabilizes wind and solar market values: The case of hydrogen electrolyzers," Applied Energy, Elsevier, vol. 307(C).
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    Cited by:

    1. Bucksteeg, Michael & Wiedmann, Michael & Pöstges, Arne & Haller, Markus & Böttger, Diana & Ruhnau, Oliver & Schmitz, Richard, 2022. "The transformation of integrated electricity and heat systems—Assessing mid-term policies using a model comparison approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. Veenstra, Arjen T. & Mulder, Machiel, 2025. "Profitability of batteries in day-ahead and intraday electricity markets: Assessment of operation strategies with endogenous prices," Energy Economics, Elsevier, vol. 148(C).
    3. Ruhnau, O. & Bucksteeg, M. & Ritter, D. & Schmitz, R. & Böttger, D. & Koch, M. & Pöstges, A. & Wiedmann, M. & Hirth, L., 2022. "Why electricity market models yield different results: Carbon pricing in a model-comparison experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    4. Pöstges, Arne & Bucksteeg, Michael & Ruhnau, Oliver & Böttger, Diana & Haller, Markus & Künle, Eglantine & Ritter, David & Schmitz, Richard & Wiedmann, Michael, 2022. "Phasing out coal: An impact analysis comparing five large-scale electricity market models," Applied Energy, Elsevier, vol. 319(C).
    5. Veenstra, Arjen T. & Mulder, Machiel, 2024. "Impact of Contracts for Differences for non-carbon electricity generation on efficiency of electricity market," Energy Economics, Elsevier, vol. 136(C).
    6. Mier, Mathias & Azarova, Valeriya, 2024. "Investment cost specifications revisited," Energy Policy, Elsevier, vol. 188(C).
    7. Hirth, Lion & Khanna, Tarun & Ruhnau, Oliver, 2022. "The (very) short-term price elasticity of German electricity demand," EconStor Preprints 249570, ZBW - Leibniz Information Centre for Economics.
    8. Ruhnau, Oliver, 2022. "How flexible electricity demand stabilizes wind and solar market values: The case of hydrogen electrolyzers," Applied Energy, Elsevier, vol. 307(C).

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