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A local electricity-hydrogen market model for industrial parks

Author

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  • Tostado-Véliz, Marcos
  • Rezaee Jordehi, Ahmad
  • Mansouri, Seyed Amir
  • Zhou, Yuekuan
  • Jurado, Francisco

Abstract

Hydrogen is called to play a vital role in the decarbonization of the energy sector. Its importance is notable for industries, where it finds multiple applications, but also for electricity generation through fuel-cells. Due to the existence of mature conversion technologies, the electricity‑hydrogen nexus is expected to be frequently present in the future for multiple applications. In this sense, it is very important to develop computational tools that consider both energy vectors and their links. Following this idea, this paper develops a local electricity‑hydrogen market model for industrial parks. The new model is suitable for systems with a notable presence of hydrogen consumers and on-site hydrogen generation through water electrolysis. The proposed market framework is capable to jointly reveal local electricity and hydrogen prices without ignoring the strong physical and financial interactions between systems. The mathematical notation arises from Stackelberg-based models for the electricity and hydrogen pricing sub-problems, which are solved iteratively until reaching convergence, thus resulting in a holistic optimization framework solvable by average machines. A case study is presented with results, which serve to validate the new tool as well as analyse several important aspects such as the role of fuel-cells or local renewable generation. Moreover, the results obtained allows us to show how both sub-systems are capable to cooperate seeking the collective welfare, thus augmenting the possibilities and flexibility of the whole system.

Suggested Citation

  • Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Mansouri, Seyed Amir & Zhou, Yuekuan & Jurado, Francisco, 2024. "A local electricity-hydrogen market model for industrial parks," Applied Energy, Elsevier, vol. 360(C).
  • Handle: RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001430
    DOI: 10.1016/j.apenergy.2024.122760
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    References listed on IDEAS

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    1. Zhou, Yuekuan, 2022. "Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    2. Martin Robinius & Lars Schewe & Martin Schmidt & Detlef Stolten & Johannes Thürauf & Lara Welder, 2019. "Robust optimal discrete arc sizing for tree-shaped potential networks," Computational Optimization and Applications, Springer, vol. 73(3), pages 791-819, July.
    3. Mitridati, Lesia & Kazempour, Jalal & Pinson, Pierre, 2020. "Heat and electricity market coordination: A scalable complementarity approach," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1107-1123.
    4. Ruiz, C. & Conejo, A.J., 2015. "Robust transmission expansion planning," European Journal of Operational Research, Elsevier, vol. 242(2), pages 390-401.
    5. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods," Applied Energy, Elsevier, vol. 321(C).
    6. Yuehao Zhao & Ke Peng & Bingyin Xu & Huimin Li & Yuquan Liu & Xinhui Zhang, 2018. "Bilevel Optimal Dispatch Strategy for a Multi-Energy System of Industrial Parks by Considering Integrated Demand Response," Energies, MDPI, vol. 11(8), pages 1-21, July.
    7. Tostado-Véliz, Marcos & Kamel, Salah & Hasanien, Hany M. & Arévalo, Paul & Turky, Rania A. & Jurado, Francisco, 2022. "A stochastic-interval model for optimal scheduling of PV-assisted multi-mode charging stations," Energy, Elsevier, vol. 253(C).
    8. Xu, Weiwei & Zhou, Dan & Huang, Xiaoming & Lou, Boliang & Liu, Dong, 2020. "Optimal allocation of power supply systems in industrial parks considering multi-energy complementarity and demand response," Applied Energy, Elsevier, vol. 275(C).
    9. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Fernández-Lobato, Lázuli & Jurado, Francisco, 2023. "Robust energy management in isolated microgrids with hydrogen storage and demand response," Applied Energy, Elsevier, vol. 345(C).
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    Cited by:

    1. Li, Zhiwei & Zhao, Yuze & Wu, Pei & Zhang, Hao & Dong, Nayang & Chang, Yuanyuan & Du, Yudong, 2024. "Enhancing efficiency and economy of hydrogen-based integrated energy system: A green dispatch approach based on exergy analysis," Energy, Elsevier, vol. 310(C).
    2. Zhang, Xiao-Yan & Wang, Cenfeng & Xiao, Jiang-Wen & Wang, Yan-Wu, 2025. "A transactive energy cooperation scheduling for hydrogen-based community microgrid with refueling preferences of hydrogen vehicles," Applied Energy, Elsevier, vol. 377(PC).

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