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Performance characterization and modelling of syngas-fed SOFCs (solid oxide fuel cells) varying fuel composition

机译：改变燃料成分的合成气喂养的SOFC（固体氧化物燃料电池）的性能表征和建模

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摘要

SOFCs (solid oxide fuel cells) are a promising technology for electric power generation, because of their high efficiency and fuel flexibility. Relative to more mature technologies, they appear very competitive starting from small-scale applications. The aim of this study is to map SOFC performances varying fuel composition, reproducing gases of technical interest (biomass air and oxy-gasification, water and carbon dioxide co-electrolysis, steam methane reforming) and to provide a forecasting tool to predict performance upon the fuel composition occurring in any application. Therefore, at first commercial SOFC are tested using several fuel gas mixtures produced by means of the chosen technologies (H-2, CO, CH4 molar fractions ranges are respectively 8-50%, 0-42%, 1-8%). Secondly, experimental data are used to build a mathematical tool to predict SOFC characteristic curve from the fuel composition. This result is interesting from the point of view of system-level modelling, because it allows characterizing commercial SOFCs performances in many technical applications. Forecast error is less than 1%. Because of its accuracy, the model can be implemented to assess properly SOFC performance as a consequence of any particular hybridization, whereas fuel composition falls into the range already defined. (C) 2015 Elsevier Ltd. All rights reserved.
机译：SOFC（固体氧化物燃料电池）因其高效和燃料灵活性而成为一种有前途的发电技术。相对于更成熟的技术，从小规模应用开始，它们显得很有竞争力。这项研究的目的是绘制各种燃料成分的SOFC性能图，具有技术意义的再生气体（生物质空气和氧气气化，水和二氧化碳的共电解，蒸汽甲烷重整），并提供一种预测工具来预测燃料的性能。在任何应用中均会出现燃料成分。因此，首先使用通过所选技术生产的几种燃料气体混合物测试商用SOFC（H-2，CO，CH4的摩尔分数范围分别为8-50％，0-42％，1-8％）。其次，使用实验数据构建数学工具，以根据燃料成分预测SOFC特性曲线。从系统级建模的角度来看，此结果很有趣，因为它可以表征许多技术应用中的商用SOFC的性能。预测误差小于1％。由于其准确性，该模型可用于评估由于任何特定杂交而导致的SOFC性能，而燃料成分属于已定义的范围。 （C）2015 Elsevier Ltd.保留所有权利。

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