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Pore-scale modeling of fluid flow through gas diffusion and catalyst layers for high temperature proton exchange membrane (HT-PEM) fuel cells

机译:高温质子交换膜(HT-PEM)燃料电池通过气体扩散和催化剂层的流体流动的孔尺度模型

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摘要

This work represents a step towards reliable algorithms for reconstructing the micromorphology of electrode materials of high temperature proton exchange membrane fuel cells and for performing pore-scale simulations of fluid flow (including rarefaction effects). In particular, we developed a deterministic model for a woven gas diffusion layer (GDL) and a stochastic model for the catalyst layer (CL) based on clusterization of carbon particles. We verified that both of the models developed accurately recover the experimental values of the permeability, without any special ad hoc tuning. Moreover, we investigated the effect of catalyst particle distributions inside the CL on the degree of clusterization and on the microscopic fluid flow, which is relevant for the modeling of degradation (e.g. loss of phosphoric acid). The three-dimensional pore-scale simulations of the fluid flow for the direct numerical calculation of the permeability were performed by the lattice Boltzmann method (LBM)
机译:这项工作代表了向可靠算法迈出的一步,该算法可重构高温质子交换膜燃料电池的电极材料的微观形态,并用于进行流体流动的孔尺度模拟(包括稀疏效应)。特别是,我们基于碳粒子的聚类开发了织造气体扩散层(GDL)的确定性模型和催化剂层(CL)的随机模型。我们验证了开发的两个模型都可以准确恢复渗透率的实验值,而无需任何特殊的临时调整。此外,我们研究了CL内部催化剂颗粒分布对簇化程度和微观流体流动的影响,这与降解建模(例如磷酸损失)有关。通过晶格玻尔兹曼方法(LBM)进行了用于渗透率直接数值计算的流体流动的三维孔尺度模拟

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