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基于GSA-GWO方法的PEM电解水制氢电热耦合模型研究

Electro-Thermal Coupling Modeling of PEM Water Electrolysis Based on the GSA-GWO Method

  • 摘要: 建立了考虑电-热耦合效应的PEM电解槽综合模型,系统刻画了电解过程中电化学与热力学的多物理耦合特性。通过全局灵敏度分析(GSA)筛选关键影响参数,提升模型辨识效率与物理可解释性。采用灰狼优化算法(GWO)对电压与温度模型中的主要影响参数进行协同优化,验证模型在多工况下的准确性与鲁棒性。结果表明,所构建模型可有效表征PEM电解槽的电热行为,为后续系统优化控制与能效评估提供理论基础。

     

    Abstract: This study establishes an integrated electro-thermal model of a PEM electrolyzer, capturing the multiphysical coupling between electrochemical and thermodynamic processes during water electrolysis. A global sensitivity analysis (GSA) is employed to identify the key influencing parameters, thereby enhancing the efficiency of model calibration and improving physical interpretability. The grey wolf optimizer (GWO) is applied to jointly optimize the dominant factors in both the voltage and temperature sub-models. The results demonstrate that the proposed model effectively characterizes the electro-thermal behavior of the PEM electrolyzer under various operating conditions, providing a solid theoretical foundation for subsequent system-level optimization and energy efficiency evaluation.

     

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