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This paper proposes a hybrid alkaline (ALK) electrolyzers-proton exchange membrane (PEM) electrolyzers system to stabilize and economize hydrogen production from fluctuating photovoltaic power. The system optimizes green hydrogen yield by combining the robustness of ALK with the efficiency of PEM electrolyzers. A strategic power distribution is outlined, assigning stable power loads to ALK and variable loads to PEM, enhancing overall system cost-effectiveness. An optimization model minimizes the levelized cost of hydrogen (LCOH) and curtailment rate, considering operational and economic variables, utilizing an advanced non-dominated sorting genetic algorithm II (NSGA-II) for solution diversity. The paper also details a two-tier optimization approach for capacity planning and daily operations, prioritizing system cost-efficiency and reliability. An economic and case study analysis evaluates the impact of key variables on the system’s economic viability, guiding the selection of optimal hydrogen production technologies.

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Research on Capacity Configuration and Operation Optimization of Photovoltaic Hydrogen Production Considering Synergy of PEM-ALK Technologies

  • 会议论文

  • 发表日期：

    2025年

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  • Zhenlan Dou,
  • Chunyan Zhang,
  • Mingyue Hu,
  • Xinghao Zhang,
  • Haitao Dong,
  • Dengshu Li

摘要

This paper proposes a hybrid alkaline (ALK) electrolyzers-proton exchange membrane (PEM) electrolyzers system to stabilize and economize hydrogen production from fluctuating photovoltaic power. The system optimizes green hydrogen yield by combining the robustness of ALK with the efficiency of PEM electrolyzers. A strategic power distribution is outlined, assigning stable power loads to ALK and variable loads to PEM, enhancing overall system cost-effectiveness. An optimization model minimizes the levelized cost of hydrogen (LCOH) and curtailment rate, considering operational and economic variables, utilizing an advanced non-dominated sorting genetic algorithm II (NSGA-II) for solution diversity. The paper also details a two-tier optimization approach for capacity planning and daily operations, prioritizing system cost-efficiency and reliability. An economic and case study analysis evaluates the impact of key variables on the system’s economic viability, guiding the selection of optimal hydrogen production technologies.