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The techno-economic potential of large-scale hydrogen storage in Germany for a climate-neutral energy system

Author

Listed:
  • Kondziella, Hendrik
  • Specht, Karl
  • Lerch, Philipp
  • Scheller, Fabian
  • Bruckner, Thomas

Abstract

The seasonal storage of natural gas is a recognized and reliable technology in the energy industry. Salt caverns are particularly suitable for storing alternative gaseous fuels such as hydrogen. Germany has a great technical potential for expanding its cavern storage capacity, which exceeds the expected demand for hydrogen many times. Regarding the projected long-term decline in natural gas use, the question arises as to whether existing caverns can meet future storage requirements. To this end, a techno-economic model is presented to meet electricity and hydrogen demand in a cost-optimal solution. This analysis focused on the utilization of hydrogen storage in terms of energy throughput and maximum storage capacity. To link the outcome of economic dispatch to the literature, the fundamental assumptions are based on comprehensive capacity expansion models. This study advances the state of the art by evaluating key input parameters of the future energy system. By conducting 192 model runs, the analysis revealed the range of uncertainty in terms of storage use. This indicates a strong dependence of the systemic and economic value of hydrogen storage on boundary conditions such as a consideration of dark doldrums, a flexible hydrogen demand profile, hydrogen import restrictions and a larger electrolyzer capacity. The uncertainty ranged from 0 to 67 TWhH2 for the storage capacity, with an average of 36.6 TWhH2 across all scenarios, and from 0 to 190 TWhH2 for the annual energy throughput. These results are significant for gas storage operators who derive transformation strategies and policymakers evaluating financial funding requirements.

Suggested Citation

  • Kondziella, Hendrik & Specht, Karl & Lerch, Philipp & Scheller, Fabian & Bruckner, Thomas, 2023. "The techno-economic potential of large-scale hydrogen storage in Germany for a climate-neutral energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:rensus:v:182:y:2023:i:c:s1364032123002873
    DOI: 10.1016/j.rser.2023.113430
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    References listed on IDEAS

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    1. Fabian Scheller & Thomas Bruckner, 2019. "Entity-Oriented Multi-Level Energy System Optimization Modeling," Operations Research Proceedings, in: Bernard Fortz & Martine Labbé (ed.), Operations Research Proceedings 2018, pages 191-197, Springer.
    2. Gallo, A.B. & Simões-Moreira, J.R. & Costa, H.K.M. & Santos, M.M. & Moutinho dos Santos, E., 2016. "Energy storage in the energy transition context: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 800-822.
    3. Henning, Hans-Martin & Palzer, Andreas, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies—Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1003-1018.
    4. Liu, Xin & Shi, Xilin & Li, Yinping & Li, Peng & Zhao, Kai & Ma, Hongling & Yang, Chunhe, 2021. "Maximum gas production rate for salt cavern gas storages," Energy, Elsevier, vol. 234(C).
    5. Reuß, M. & Grube, T. & Robinius, M. & Preuster, P. & Wasserscheid, P. & Stolten, D., 2017. "Seasonal storage and alternative carriers: A flexible hydrogen supply chain model," Applied Energy, Elsevier, vol. 200(C), pages 290-302.
    6. Prajapati, Vijaykumar K. & Mahajan, Vasundhara, 2021. "Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources," Energy, Elsevier, vol. 215(PB).
    7. Palzer, Andreas & Henning, Hans-Martin, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies – Part II: Results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1019-1034.
    8. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    9. Bertsch, Valentin & Hall, Margeret & Weinhardt, Christof & Fichtner, Wolf, 2016. "Public acceptance and preferences related to renewable energy and grid expansion policy: Empirical insights for Germany," Energy, Elsevier, vol. 114(C), pages 465-477.
    10. 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).
    11. Fabian Scheller & Stefan Wald & Hendrik Kondziella & Philipp Andreas Gunkel & Thomas Bruckner & Dogan Keles, 2022. "Future role and economic benefits of hydrogen and synthetic energy carriers in Germany: a systematic review of long-term energy scenarios," Papers 2203.02834, arXiv.org.
    12. Fabian Scheller & Robert Burkhardt & Robert Schwarzeit & Russell McKenna & Thomas Bruckner, 2020. "Competition between simultaneous demand-side flexibility options: The case of community electricity storage systems," Papers 2011.05809, arXiv.org.
    13. Scheller, Fabian & Burkhardt, Robert & Schwarzeit, Robert & McKenna, Russell & Bruckner, Thomas, 2020. "Competition between simultaneous demand-side flexibility options: the case of community electricity storage systems," Applied Energy, Elsevier, vol. 269(C).
    14. Tarkowski, Radoslaw, 2019. "Underground hydrogen storage: Characteristics and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 86-94.
    15. Scheller, Fabian & Burgenmeister, Balthasar & Kondziella, Hendrik & Kühne, Stefan & Reichelt, David G. & Bruckner, Thomas, 2018. "Towards integrated multi-modal municipal energy systems: An actor-oriented optimization approach," Applied Energy, Elsevier, vol. 228(C), pages 2009-2023.
    16. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
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