Modeling Analysis of SOFC System Oriented to Working Condition Identification

Xiao-Long Wu, Hong Zhang, Hongli Liu, Yuan-Wu Xu, Jingxuan Peng, Zhiping Xia and Yongan Wang
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Xiao-Long Wu: School of Information Engineering, Nanchang University, Nanchang 330031, China
Hong Zhang: School of Information Engineering, Nanchang University, Nanchang 330031, China
Hongli Liu: School of Information Engineering, Nanchang University, Nanchang 330031, China
Yuan-Wu Xu: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
Jingxuan Peng: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Zhiping Xia: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Yongan Wang: State Grid Hubei Maintenance Company, Wuhan 430050, China

Energies, 2022, vol. 15, issue 5, 1-19

Abstract: Solid oxide fuel cell (SOFC) generation system is an important equipment to realize “carbon neutralization”. In SOFC system, a fault will cause changes in working conditions, which is difficult to detect early and find the reason due to the high temperature and seal environment. Therefore, the mechanistic model is a feasible way to find the reasons for the change of system working conditions. In this paper, based on the first law of thermodynamics, the system model of SOFC is built under multiple working conditions, and the influence of stack, afterburner, heat exchanger, and reformer fault is studied on the thermoelectric characteristics and efficiency of the system. The results show that with the introduction of these fault mechanistic models, the dynamic response characteristics of SOFC system under multiple working conditions can be obtained by tracking the key performance parameters qualitatively. The work of this paper is helpful for the guidance of the fault diagnosis of SOFC system in the future.

Keywords: solid oxide fuel cells system; system model; working condition identification; system analysis; energy conversion efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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