IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v185y2024ics0301421523004858.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421523004858
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2023.113900?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Jonas Egerer, 2016. "Open Source Electricity Model for Germany (ELMOD-DE)," Data Documentation 83, DIW Berlin, German Institute for Economic Research.
    3. Lieberwirth, Martin & Hobbie, Hannes, 2022. "Decarbonizing the Industry Sector and its Effect on Electricity Transmission Grid Operation - Implications from a Model Based Analysis for Germany," EconStor Preprints 261839, ZBW - Leibniz Information Centre for Economics.
    4. Friedrich Kunz and Alexander Zerrahn, 2016. "Coordinating Cross-Country Congestion Management: Evidence from Central Europe," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).
    5. Mikovits, Christian & Wetterlund, Elisabeth & Wehrle, Sebastian & Baumgartner, Johann & Schmidt, Johannes, 2021. "Stronger together: Multi-annual variability of hydrogen production supported by wind power in Sweden," Applied Energy, Elsevier, vol. 282(PB).
    6. Jan Málek & Lukáš Recka & Karel Janda, 2017. "Impact of German Energiewende on transmission lines in the Central European region," CAMA Working Papers 2017-72, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Kunz, Friedrich & Neuhoff, Karsten & Rosellón, Juan, 2016. "FTR allocations to ease transition to nodal pricing: An application to the German power system," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 60, pages 176-185.
    8. Hobbie, Hannes & Lieberwirth, Martin, 2022. "Impact of hydrogen deployment scenarios on the economic effciency of electricity transmission system operation: A model-based case study for the German market area," EconStor Preprints 262112, ZBW - Leibniz Information Centre for Economics.
    9. 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).
    10. Kunz, Friedrich & Zerrahn, Alexander, 2015. "Benefits of coordinating congestion management in electricity transmission networks: Theory and application to Germany," Utilities Policy, Elsevier, vol. 37(C), pages 34-45.
    11. 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.
    12. Kunz, Friedrich, 2018. "Quo Vadis? (Un)scheduled electricity flows under market splitting and network extension in central Europe," Energy Policy, Elsevier, vol. 116(C), pages 198-209.
    13. Zepter, Jan Martin & Weibezahn, Jens, 2019. "Unit commitment under imperfect foresight – The impact of stochastic photovoltaic generation," Applied Energy, Elsevier, vol. 243(C), pages 336-349.
    14. Lin, Haiyang & Wu, Qiuwei & Chen, Xinyu & Yang, Xi & Guo, Xinyang & Lv, Jiajun & Lu, Tianguang & Song, Shaojie & McElroy, Michael, 2021. "Economic and technological feasibility of using power-to-hydrogen technology under higher wind penetration in China," Renewable Energy, Elsevier, vol. 173(C), pages 569-580.
    15. N. Gülpınar & F. Oliveira, 2014. "Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties," Computational Management Science, Springer, vol. 11(3), pages 267-283, July.
    16. Jonas Egerer, Clemens Gerbaulet, and Casimir Lorenz, 2016. "European Electricity Grid Infrastructure Expansion in a 2050 Context," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).
    17. 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.
    18. Bjørndal, Endre & Bjørndal, Mette & Gribkovskaia, Victoria, 2014. "A Nodal Pricing Model for the Nordic Electricity Market," Discussion Papers 2014/43, Norwegian School of Economics, Department of Business and Management Science.
    19. 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.
    20. Allard, Stéphane & Mima, Silvana & Debusschere, Vincent & Quoc, Tuan Tran & Criqui, Patrick & Hadjsaid, Nouredine, 2020. "European transmission grid expansion as a flexibility option in a scenario of large scale variable renewable energies integration," Energy Economics, Elsevier, vol. 87(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:185:y:2024:i:c:s0301421523004858. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.