PEM Electrolyzer Inlet Water Temperature and Flow Velocity Parameter Analysis and System Energy Efficiency Prediction
This study investigates the impact of varying operating parameters on the energy efficiency and durability of a proton exchange membrane(PEM)electrolyzer.Using a multi-physics electro-thermal model,we analyze the parametric effects of inlet water temperature and flow velocity on electrolysis performance.Results reveal that increasing inlet water temperature enhances electrolyzer current density,improving efficiency but risking membrane thermal degradation above 80℃.Conversely,higher inlet water flow velocity promotes uniform temperature distribution,yet increases pump and radiator power consumption,reducing system energy efficiency.We employ a machine learning approach combining multiphysics simulations with artificial neural networks(ANN)to predict system energy efficiency and maximum membrane temperature.The model achieves a root-mean-square error of only 0.106%,ensuring accurate predictions and enhancing simulation efficiency.This work serves as a valuable reference for predicting electrolytic cell system energy efficiency under varying inlet parameters.
PEM electrolyzerInlet water temperature and flow velocity analysisSystem energy efficiencyPerformance predictionEvaluation indicators
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