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Compounding or Curative? Investigating the impact of electrolyzer deployment on congestion management in the German power grid

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  • Hobbie, Hannes
  • Lieberwirth, Martin

Abstract

Integrating large amounts of hydrogen production capacities for decarbonizing energy-intensive industries in Germany can be challenging for transmission system operators. This research investigates interactions of hydrogen production deployment pathways and associated congestion management policies with the operation of the German electricity transmission system for future market projections. Hydrogen electrolysis imputes additional electricity loads above conventional levels. A scenario framework is created representing different geographic electrolyzer deployment pathways and congestion management regulations for electrolyzer operation. Fundamental electricity market modeling and load flow optimization are proposed to evaluate resulting congestion management volumes to resolve grid bottlenecks associated with the market clearing dispatch. Overall results of this work highlight the importance of designing congestion management frameworks that enable efficient utilization of electrolyzers as a redispatch capacity, primarily if a demand-oriented deployment of electrolyzer installations near energy-intensive industries is assumed to support renewable energy integration. Differences in congestion management cost between demand- and supply-oriented deployment pathways of electrolyzer capacity lie in the range of 0.77–0.97 bn Euro if electrolyzers cannot be redispatched but almost diminish to 0.10–0.21 bn Euro in the scenarios that include electrolyzer as a redispatch capacity. The findings of this work assist policymakers and regulators with valuable insights into design options for future congestion management frameworks.

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  • Hobbie, Hannes & Lieberwirth, Martin, 2024. "Compounding or Curative? Investigating the impact of electrolyzer deployment on congestion management in the German power grid," Energy Policy, Elsevier, vol. 185(C).
    • Handle: RePEc:eee:enepol:v:185:y:2024:i:c:s0301421523004858
    DOI: 10.1016/j.enpol.2023.113900
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    References listed on IDEAS

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    1. Larscheid, Patrick & Lück, Lara & Moser, Albert, 2018. "Potential of new business models for grid integrated water electrolysis," Renewable Energy, Elsevier, vol. 125(C), pages 599-608.
    2. Pearson, Simon & Wellnitz, Sonja & Crespo del Granado, Pedro & Hashemipour, Naser, 2022. "The value of TSO-DSO coordination in re-dispatch with flexible decentralized energy sources: Insights for Germany in 2030," Applied Energy, Elsevier, vol. 326(C).
    3. 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.
    4. Hobbie, Hannes & Mehlem, Jonas & Wolff, Christina & Weber, Lukas & Flachsbarth, Franziska & Möst, Dominik & Moser, Albert, 2022. "Impact of model parametrization and formulation on the explorative power of electricity network congestion management models - Insights from a grid model comparison experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    5. Xiong, Bobby & Predel, Johannes & Crespo del Granado, Pedro & Egging-Bratseth, Ruud, 2021. "Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas," Applied Energy, Elsevier, vol. 283(C).
    6. 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).
    7. 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).
    8. 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).
    9. Kirchem, Dana & Schill, Wolf-Peter, 2023. "Power sector effects of green hydrogen production in Germany," Energy Policy, Elsevier, vol. 182(C).
    10. 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.
    11. Buttler, Alexander & Spliethoff, Hartmut, 2018. "Current status of water electrolysis for energy storage, grid balancing and sector coupling via power-to-gas and power-to-liquids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2440-2454.
    12. Schönheit, David & Hladik, Dirk & Hobbie, Hannes & Möst, Dominik, 2020. "ELMOD documentation: Modeling of flow-based market coupling and congestion management," EconStor Preprints 217278, ZBW - Leibniz Information Centre for Economics.
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