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Peak Power Optimization of Solid Oxide Fuel Cells with Particle Size and Porosity Grading

机译:粒径和孔隙度分级的固体氧化物燃料电池峰值功率优化

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Solid oxide fuel cells (SOFCs) are blessed with high efficiency, the capability of using a variety of hydrocarbon fuels, and high impurity tolerance. Functionally graded electrodes have previously been investigated to improve SOFCs performance' with controlled microstructure. However, little investigation has been focused on the cell-level optimization of power output for nonlinearly graded electrode microstructures. In this work, a multiscale electrode polarization model of SOFCs has been expanded and developed to a cell-level model. The cell-level SOFCs model has been utilized to disclose the complex relationship among the transport phenomena, which include the transports of electron, ion and gas molecules through the electrode and the electrochemical reaction at the triple phase boundaries. The work advances the understanding of the cell performance with graded microstructures. The performance of functionally graded electrodes has been analyzed to understand the effects of tailored electrode microstructures on cell power output.
机译:固体氧化物燃料电池(SOFC)具有高效率,使用多种烃燃料的能力和高杂质耐受性。先前已经研究过功能梯度电极以改善具有受控微观结构的SOFC性能。然而,很少的调查专注于非线性梯度微结构的电力输出的电池级优化。在这项工作中,已经扩展并开发了SOFC的多尺度电极偏振模型到细胞级模型。已经利用细胞级SOFCS模型来公开运输现象之间的复杂关系,其包括通过电极的电子,离子和气体分子的传输和三相界限的电化学反应。该工作进展了具有渐变微观结构的细胞性能的理解。已经分析了功能梯度电极的性能,以了解定制电极微观结构对电池功率输出的影响。

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