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DIETERpy: A Python framework for the Dispatch and Investment Evaluation Tool with Endogenous Renewables

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  • Gaete-Morales, Carlos
  • Kittel, Martin
  • Roth, Alexander
  • Schill, Wolf-Peter

Abstract

DIETER is an open-source power sector model designed to analyze future settings with very high shares of variable renewable energy sources. It minimizes overall system costs, including fixed and variable costs of various generation, flexibility and sector coupling options. Here we introduce DIETERpy that builds on the existing model version, written in the General Algebraic Modeling System (GAMS), and enhances it with a Python framework. This combines the flexibility of Python regarding pre- and post-processing of data with a straightforward algebraic formulation in GAMS and the use of efficient solvers. DIETERpy also offers a browser-based graphical user interface. The new framework is designed to be easily accessible as it enables users to run the model, alter its configuration, and define numerous scenarios without a deeper knowledge of GAMS. Code, data, and manuals are available in public repositories under permissive licenses for transparency and reproducibility.

Suggested Citation

  • Gaete-Morales, Carlos & Kittel, Martin & Roth, Alexander & Schill, Wolf-Peter, 2021. "DIETERpy: A Python framework for the Dispatch and Investment Evaluation Tool with Endogenous Renewables," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15.
    • Handle: RePEc:zbw:espost:250059
    DOI: 10.1016/j.softx.2021.100784
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    References listed on IDEAS

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    1. Say, Kelvin & Schill, Wolf-Peter & John, Michele, 2020. "Degrees of displacement: The impact of household PV battery prosumage on utility generation and storage," Applied Energy, Elsevier, vol. 276(C).
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    Cited by:

    1. Martin Kittel & Wolf-Peter Schill, 2021. "Renewable Energy Targets and Unintended Storage Cycling: Implications for Energy Modeling," Papers 2107.13380, arXiv.org, revised Sep 2021.
    2. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Fehler, Alexander & Gaumnitz, Felix & van Ouwerkerk, Jonas & Bußa, 2022. "Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    3. Alexander Roth, 2023. "Power sector impacts of a simultaneous European heat pump rollout," Papers 2312.06589, arXiv.org.
    4. Alexander Roth & Wolf-Peter Schill, 2022. "Geographical balancing of wind power decreases storage needs in a 100% renewable European power sector," Papers 2211.16419, arXiv.org, revised Jun 2023.
    5. Matthias Maldet & Daniel Schwabeneder & Georg Lettner & Christoph Loschan & Carlo Corinaldesi & Hans Auer, 2022. "Beyond Traditional Energy Sector Coupling: Conserving and Efficient Use of Local Resources," Sustainability, MDPI, vol. 14(12), pages 1-36, June.
    6. Martin Kittel & Alexander Roth & Wolf-Peter Schill, 2024. "Coping with the Dunkelflaute: Power system implications of variable renewable energy droughts in Europe," Papers 2411.17683, arXiv.org, revised Jan 2025.
    7. Kirchem, Dana & Schill, Wolf-Peter, 2023. "Power sector effects of green hydrogen production in Germany," Energy Policy, Elsevier, vol. 182(C).
    8. Javier L'opez Prol & Wolf-Peter Schill, 2020. "The Economics of Variable Renewables and Electricity Storage," Papers 2012.15371, arXiv.org.
    9. van Ouwerkerk, Jonas & Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Torralba-Díaz, Laura & Bußar, Christian, 2022. "Impacts of power sector model features on optimal capacity expansion: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    10. Alexander Roth & Wolf-Peter Schill, 2022. "Wind Power Decreases the Need for Storage in an Interconnected 100% Renewable European Power Sector," Discussion Papers of DIW Berlin 2025, DIW Berlin, German Institute for Economic Research.
    11. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Murmann, Alexander & Launer, Jann & Gaumnitz, Felix & van Ouwerkerk, Jonas & Mikurda, Jennifer & Torralba-Díaz, Laura, 2022. "Model-related outcome differences in power system models with sector coupling—Quantification and drivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).

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