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Development of Modelling and Testing for Analysis of Degradation in Solid Oxide Fuel Cells

机译:固体氧化物燃料电池降解分析的建模与测试的开发

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The ability to predict the lifetime performance of an SOFC can give guidelines for where improvements and alterations can be made in terms of production, operating parameters and cell design. This study focuses on continuous degradation mechanisms and the impact they have on the components of a single repeating unit level, i.e. the anode, cathode, electrolyte, metal interconnect and sealants. Currently the model being developed deals specifically with anode and electrolyte degradation. Depending on operating conditions, SOFC cells suffer from Ni particle agglomeration, coarsening, and volatilisation which lead to increased overpotential in the anode. A loss in the ionic conductivity in the electrolyte is also observed. Matlab coding has been developed to outline the loss of performance in a single repeating unit for a given set of operating parameters. These equations will be tested against real life data to establish their validity and, where necessary, adjusted for accuracy.
机译:预测SOFC的寿命性能的能力可以为在生产,操作参数和细胞设计方面可以提供改进和改变的准则。该研究侧重于连续的降解机制和它们对单一重复单元水平的组分的影响,即阳极,阴极,电解质,金属互连和密封剂。目前,该模型正在开发与阳极和电解质降解的特异性。取决于操作条件,SOFC细胞遭受Ni颗粒聚集,粗化和挥发,这导致阳极中的过电位增加。还观察到电解质中的离子电导率的损失。已经开发了MATLAB编码,以概述单个重复单元中的性能损失,以获得给定的一组操作参数。这些方程将对真实生活数据进行测试,以建立其有效性,并且在必要时调整准确性。

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