首页|Numerical multi-physical optimization of operating condition and current collecting setup for large-area solid oxide fuel cells

Numerical multi-physical optimization of operating condition and current collecting setup for large-area solid oxide fuel cells

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Due to the depletion of traditional fossil fuels and the aggravation of related environmental problems,hydrogen energy is gaining more attention all over the world.Solid oxide fuel cell(SOFC)is a promising power generation technology operating on hydrogen with a high efficiency.To further boost the power output of a single cell and thus a single stack,increasing the cell area is an effective route.However,it was recently found that further increasing the effective area of an SOFC single cell with a flat-tubular structure and symmetric double-sided cathodes would result in a lower areal performance.In this work,a multi-physical model is built to study the effect of the effective area on the cell performance.The distribution of different physical fields is systematically analyzed.Optimization of the cell performance is also pursued by systematically tuning the cell operating condition and the current collection setup.An improvement of 42%is revealed by modifying the inlet gas flow rates and by enhancing the current collection.In the future,optimization of cell geometry will be performed to improve the homogeneity of different physical fields and thus to improve the stability of the cell.

solid oxide fuel cell(SOFC)large effective areaflow ratedischarge performancecurrent collection

Chengrong YU、Zehua PAN、Hongying ZHANG、Bin CHEN、Wanbing GUAN、Bin MIAO、Siew Hwa CHAN、Zheng ZHONG、Yexin ZHOU

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School of Science,Harbin Institute of Technology,Shenzhen 518055,China

Guangdong Provincial Key Laboratory of Deep Earth Sciences and Geothermal Energy Exploitation and Utilization,Institute of Deep Earth Sciences and Green Energy,Shenzhen University,Shenzhen 518060,China

Key Laboratory of Advanced Fuel Cells and Electrolyzers Technology of Zhejiang Province,Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences,Ningbo 315201,China

Energy Research Institute at NTU(ERIAN),Nanyang Technological University,Singapore 639798,Singapore

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScience,Technology and Innovation Commission of Shenzhen MunicipalityDevelopment and Reform Commission of Shenzhen Municipality,China

1180210611932005U20A2025152102226GJHZ20220913143009017XMHT20220103004

2024

能源前沿
高等教育出版社

能源前沿

CSTPCDEI
影响因子:0.2
ISSN:2095-1701
年,卷(期):2024.18(3)