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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: https://www.diw.de/documents/publikationen/73/diw_01.c.528927.de/diw_datadoc_2016-083.pdf
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    References listed on IDEAS

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    2. 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.
    3. 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.
    4. Vassilis M. Charitopoulos & Mathilde Fajardy & Chi Kong Chyong & David M. Reiner, 2022. "The case of 100% electrification of domestic heat in Great Britain," Working Papers EPRG2206, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. vom Scheidt, Frederik & Qu, Jingyi & Staudt, Philipp & Mallapragada, Dharik S. & Weinhardt, Christof, 2022. "Integrating hydrogen in single-price electricity systems: The effects of spatial economic signals," Energy Policy, Elsevier, vol. 161(C).
    6. 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.
    7. Johannes Brauer & Manuel Villavicencio & Johannes Trüby, 2022. "Green hydrogen – How grey can it be?," RSCAS Working Papers 2022/44, European University Institute.
    8. Staudt, Philipp & Oren, Shmuel S., 2021. "Merchant transmission in single-price electricity markets with cost-based redispatch," Energy Economics, Elsevier, vol. 104(C).
    9. Makpal Assembayeva & Jonas Egerer & Roman Mendelevitch & Nurkhat Zhakiyev, 2017. "A Spatial Electricity Market Model for the Power System of Kazakhstan," Discussion Papers of DIW Berlin 1659, DIW Berlin, German Institute for Economic Research.
    10. Hirth, Lion & Schlecht, Ingmar, 2020. "Market-Based Redispatch in Zonal Electricity Markets: The Preconditions for and Consequence of Inc-Dec Gaming," EconStor Preprints 194292, ZBW - Leibniz Information Centre for Economics, revised 2020.
    11. 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).
    12. 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.
    13. 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).
    14. 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.

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