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Capacity optimization for minimizing the cost on a hydrogen production system coupling the wind and solar power generation with PEM water electrolysis

Author

Listed:
  • Kang, Kai
  • Cao, Chuansheng
  • Jiang, Chong
  • Li, Wei
  • Tang, Chang
  • Liu, Qian
  • Huang, Lei
  • Wen, Chang

Abstract

Hydrogen energy is an important energy carrier in the future energy system to integrate the wind and solar power developing rapidly in China, via the water electrolysis technology. Homer Pro is used to simulate the power generation equipment and construct the framework for a hydrogen production system from wind and solar power, and Matlab software is coupled to operate the mathematical models for various equipment based on their principles and technical parameters. System scenarios are designed based on different project locations with 10 MW capacity of distributed renewable energy, and a mixed-integer programming optimization algorithm is proposed for capacity optimization on the hydrogen production system to minimize the Levelized Cost of Hydrogen (LCOH). The results show that in the off-grid system, the LCOH in the optimal scenarios of Ordos and Wuhan is 37.07 and 53.13 ¥/kg, respectively. In the grid-connected system, the LCOH in the optimal scenarios of Ordos and Wuhan decrease to 31.93 and 46.61 ¥/kg, respectively. The primary factor contributing to the reduction in LCOH is the decrease in capacity of PEM electrolyzer. It highlights that the cost of the PEM electrolyzer is the key factor affecting the economics of the green hydrogen production system.

Suggested Citation

  • Kang, Kai & Cao, Chuansheng & Jiang, Chong & Li, Wei & Tang, Chang & Liu, Qian & Huang, Lei & Wen, Chang, 2025. "Capacity optimization for minimizing the cost on a hydrogen production system coupling the wind and solar power generation with PEM water electrolysis," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225037181
    DOI: 10.1016/j.energy.2025.138076
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    References listed on IDEAS

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