Capacity Configuration and Benefit Assessment of Deep-Sea Wind–Hydrogen System Considering Dynamic Hydrogen Price
Chen Fu,
Li Lan,
Yanyuan Qian,
Peng Chen,
Zhonghao Shi,
Xinghao Zhang,
Chuanbo Xu and
Ruoyi Dong ()
Additional contact information
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
Energies, 2025, vol. 18, issue 19, 1-22
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.
Keywords: offshore wind power-to-hydrogen; capacity optimization; uncertain hydrogen price; cloud model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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