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High performance modeling of heterogeneous SOFC electrode microstructures using the MOOSE framework: ERMINE (Electrochemical Reactions in MIcrostructural NEtworks)

机译:使用MOOSE框架对异质SOFC电极微观结构进行高性能建模:ERMINE(微结构NEtworks中的电化学反应)

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摘要

Electrochemical energy devices, such as batteries and fuel cells, contain active electrode components that have highly porous, multiphase microstructures for improved performance. Predictive electrochemical models of solid oxide fuel cell (SOFC) electrode performance based on measured microstructures have been limited to small length scales, a small number of simulations, and/or relatively homogeneous microstructures. To overcome the difficulty in modeling electrochemical activity of inhomogeneous microstructures at considerable length scales, we have developed a high-throughput simulation application that operates on high-performance computing platforms. The open-source application, named Electrochemical Reactions in MIcrostructural NEtworks (ERMINE), is implemented within the MOOSE computational framework, and solves species transport coupled to both three-phase boundary and two-phase boundary electrochemical reactions. As the core component, this application is further incorporated into a high-throughput computational workflow. The main advantages of the workflow include:
机译:诸如电池和燃料电池之类的电化学能量设备包含有源电极组件,该有源电极组件具有高度多孔的多相微结构以提高性能。基于测得的微结构的固体氧化物燃料电池(SOFC)电极性能的预测电化学模型已被限制为小长度标度,少量模拟和/或相对均匀的微结构。为了克服在相当大的长度尺度上对非均质微结构的电化学活性进行建模的困难,我们开发了可在高性能计算平台上运行的高通量仿真应用程序。该开源应用程序名为“微结构NEtworks中的电化学反应”(ERMINE),是在MOOSE计算框架内实现的,解决了与三相边界和两相边界电化学反应耦合的物质迁移。作为核心组件,此应用程序还被合并到高通量计算工作流程中。工作流程的主要优点包括:

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