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Two-dimensional agglomerate model for the cathode of a PEM fuel cell.

机译:PEM燃料电池阴极的二维团聚模型。

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Mathematical modelling for PEM fuel cell has been an area of interest in fuel cell research. Based on a variety of resources, a detailed 2-Dimensional cross-the-channel agglomerate model has been developed and performed on a commercial software---FemlabRTM.; In this work, mass transport of gas mixture in the gas diffusion layer and catalyst layer as well as charge transport of electron and proton in the cathode were modelled. This model is able to predict cathode overpotential, which is a major loss in a fuel cell. Oxygen reaction rate and its distribution as well as current density distribution have been illustrated by the simulation. The model prediction revealed that electron transport plays an important role in determining electrode reaction rate.; Parametric studies illustrated the influence of various catalyst layer microstructural parameters on the cathode performance. The simulation provided insight on the significance of physical processes for oxygen reduction in the cathode. The model developed in this thesis is expected to be a powerful tool for engineering optimized electrode structures that lead to efficient fuel cell performance.
机译:PEM燃料电池的数学建模一直是燃料电池研究的关注领域。基于各种资源,已经开发了详细的二维跨渠道集聚模型,并在商业软件--FemlabRTM上执行。在这项工作中,模拟了气体扩散层和催化剂层中气体混合物的质量迁移以及阴极中电子和质子的电荷迁移。该模型能够预测阴极过电势,这是燃料电池的主要损失。仿真表明了氧的反应速率及其分布以及电流密度分布。模型预测表明,电子传输在确定电极反应速率中起重要作用。参数研究表明了各种催化剂层的微观结构参数对阴极性能的影响。该模拟提供了关于物理过程对于阴极中氧还原的重要性的见解。本论文开发的模型有望成为工程优化电极结构的有力工具,从而导致高效的燃料电池性能。

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