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A Coupled Physics and Electrochemical Reaction Model for Porous Microstructural Electrodes of Solid Oxide Electrolysis Cell

机译:固体氧化物电解细胞多孔微结构电极的耦合物理学和电化学反应模型

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摘要

A coupled physics and electrochemical reaction model was developed to evaluate the performance of solid oxide electrolysis cell (SOEC) porous electrode microstructures. The influence of geometric and transport properties on the performance of porous SOEC electrode microstructures is investigated. The detailed micro-scale model was developed in OpenFOAM (Open Field Operation and Manipulation), which is a free open-source computational fluid dynamic (CFD) software package. The sample electrode microstructures investigated in this work were obtained from both experimental reconstruction and synthetic numerical manufacturing methods. The experimental electrode sample was reconstructed using a focused ion beam-scanning electron microscopy (FIB-SEM) technique. An in-house computational technique, written in C++ language, was used to synthetically manufacture the electrode microstructures and was based on the drop-and-roll method of particle placement. The geometric and physical input parameters (e.g. particle-size distribution, particle-to-particle overlap, and porosity) for the numerical model were approximated from the FIB-SEM based experimental reconstruction model. The resulting simulated samples from both methods were then converted into numerical meshes for detailed micro-scale model analysis. Inference on the design and optimization process of SOEC electrodes is given from evaluating the relationship between the electrode voltage and current density for various compositions of initial manufacturing parameters.
机译:开发了一种耦合物理和电化学反应模型以评估固体氧化物电解槽(SOEC)多孔电极微结构的性能。研究了对几何和运输性能对多孔SOEC电极微结构性能的影响。详细的微尺度模型是在OpenFoam(开放式操作和操作)中开发的,它是一个自由开源计算流体动态(CFD)软件包。在该工作中研究的样品电极微结构是从实验性重建和合成数制造方法获得的。使用聚焦离子束扫描电子显微镜(FIB-SEM)技术重建实验电极样品。用C ++语言写入内部计算技术,用于综合制造电极微结构,并基于颗粒放置的滴辊方法。从基于FIB-SEM的实验重建模型近似了数值模型的几何和物理输入参数(例如粒度分布,粒度分布,粒子粒子重叠和孔隙率)。然后将来自两种方法的所得模拟样本转化为用于详细的微级模型分析的数值网格。对SOEC电极的设计和优化过程的推断是从评估初始制造参数的各种组成的电极电压和电流密度之间的关系。

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