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Capacity Configuration and Benefit Assessment of Deep-Sea Wind–Hydrogen System Considering Dynamic Hydrogen Price

Author

Listed:
  • Chen Fu

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Li Lan

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Yanyuan Qian

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Peng Chen

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Zhonghao Shi

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xinghao Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Chuanbo Xu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Ruoyi Dong

    (Beiqi Foton Motor Co., Ltd., Beijing 102206, China)

Abstract

Against the backdrop of the global transition towards clean energy, deep-sea wind-power hydrogen production integrates offshore wind with green hydrogen technology. Addressing the technical coupling complexity and the impact of uncertain hydrogen prices, this paper develops a capacity optimization model. The model incorporates floating wind turbine output, the technical distinctions between alkaline (ALK) electrolyzers and proton exchange membrane (PEM) electrolyzers, and the synergy with energy storage. Under three hydrogen price scenarios, the results demonstrate that as the price increases from 26 CNY/kg to 30 CNY/kg, the optimal ALK capacity decreases from 2.92 MW to 0.29 MW, while the PEM capacity increases from 3.51 MW to 5.51 MW. Correspondingly, the system’s Net Present Value (NPV) exhibits an upward trend. To address the limitations of traditional methods in handling multi-dimensional benefit correlations and information ambiguity, a comprehensive benefit evaluation framework encompassing economic, technical, environmental, and social synergies was constructed. Sensitivity analysis indicates that the comprehensive benefit level falls within a relatively high-efficiency interval. The numerical characteristics, an entropy value of 3.29 and a hyper-entropy of 0.85, demonstrate compact result distribution and robust stability, validating the applicability and stability of the proposed offshore wind–hydrogen benefit assessment model.

Suggested Citation

  • Chen Fu & Li Lan & Yanyuan Qian & Peng Chen & Zhonghao Shi & Xinghao Zhang & Chuanbo Xu & Ruoyi Dong, 2025. "Capacity Configuration and Benefit Assessment of Deep-Sea Wind–Hydrogen System Considering Dynamic Hydrogen Price," Energies, MDPI, vol. 18(19), pages 1-22, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5175-:d:1760787
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    References listed on IDEAS

    as
    1. Nagasawa, Kazunori & Davidson, F. Todd & Lloyd, Alan C. & Webber, Michael E., 2019. "Impacts of renewable hydrogen production from wind energy in electricity markets on potential hydrogen demand for light-duty vehicles," Applied Energy, Elsevier, vol. 235(C), pages 1001-1016.
    2. Li, Chao & Gao, Yuzheng & Liu, Hongtao & Zhai, Rongrong, 2025. "Energy, exergy, environmental, and economic analysis of a novel hydrogen production system integrating concentrated photovoltaic thermal collectors and wind turbines," Energy, Elsevier, vol. 322(C).
    3. Sebastian Zupok & Ewa Chomać-Pierzecka & Artur Dmowski & Stefan Dyrka & Andrzej Hordyj, 2025. "A Review of Key Factors Shaping the Development of the U.S. Wind Energy Market in the Context of Contemporary Challenges," Energies, MDPI, vol. 18(16), pages 1-24, August.
    Full references (including those not matched with items on IDEAS)

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