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3D multi-physics modeling of a gas diffusion electrode for oxygen reduction reaction for electrochemical energy conversion in PEM fuel cells

机译:PEM燃料电池中用于氧还原反应,用于电化学能量转换的气体扩散电极的3D多物理场建模

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A 3D multi-physics, multi-component and not isothermal model is developed to analyze the effects of catalyst structures on the performance of a gas diffusion electrode (GDE) cell toward the oxygen reduction reaction using dry oxygen as a reactant. The model includes Stokes-Brinkman, Maxwell-Stefan, and modified Butler-Volmer equations for simulating the performance of the GDE cell, solved by Comsol (R) Multiphysics v4.4a platform. The model is validated against experimental data, showing congruent and convergent responses for different electrodes based on noble and non-noble metals catalysts, confirming the accuracy of the model and the equations applied. The use of a 3D model incorporating porous materials can be used for evaluating mass transport and diffusivity parameters of the electrocatalyst, identifying the controlling variable in the process. The model can be used as an optimization tool for further improvement of catalyst synthesis, suggesting which properties can be tuned to improve the overall performance in the catalyst design.phase. (C) 2016 Elsevier Ltd. All rights reserved.
机译:建立了3D多物理场,多组分而非等温模型,以分析催化剂结构对使用干氧作为反应物进行氧还原反应的气体扩散电极(GDE)电池性能的影响。该模型包括Stokes-Brinkman,Maxwell-Stefan和经过改进的Butler-Volmer方程,用于模拟GDE电池的性能,并通过Comsol(R)Multiphysics v4.4a平台进行了求解。该模型已针对实验数据进行了验证,显示了基于贵金属和非贵金属催化剂的不同电极的一致和收敛响应,从而确认了模型和所应用方程的准确性。结合多孔材料的3D模型的使用可用于评估电催化剂的质量传递和扩散率参数,从而确定过程中的控制变量。该模型可用作进一步改善催化剂合成的优化工具,表明可以调整哪些性能以改善催化剂设计阶段的总体性能。 (C)2016 Elsevier Ltd.保留所有权利。

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