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Degradation analysis and durability improvement for SOFC 1-cell stack

Author

Listed:
  • Yan, Dong
  • Zhang, Chi
  • Liang, Linjiang
  • Li, Kai
  • Jia, Lichao
  • Pu, Jian
  • Jian, Li
  • Li, Xi
  • Zhang, Tao

Abstract

In a practical SOFC power generator device, stack stability and durability are the basis of the system’s efficiency. A typical stack contains fuel cells and interconnects which are connected serially and the fuel and air are fed onto the different sides of the electrodes. When degradants happen at the electrodes and interfaces, the stack performance starts to decay and thus affects the system’s efficiency. In this study, a planar SOFC 1-cell stack was assembled and placed in a test bench to evaluate its durability under a constant working environment. Post test was carried out to determine the source of the performance degradation. A low-cost and rapid test method was introduced to quantify morphology information of the microstructure, which could have a potential application in future use.

Suggested Citation

  • Yan, Dong & Zhang, Chi & Liang, Linjiang & Li, Kai & Jia, Lichao & Pu, Jian & Jian, Li & Li, Xi & Zhang, Tao, 2016. "Degradation analysis and durability improvement for SOFC 1-cell stack," Applied Energy, Elsevier, vol. 175(C), pages 414-420.
    • Handle: RePEc:eee:appene:v:175:y:2016:i:c:p:414-420
    DOI: 10.1016/j.apenergy.2016.04.094
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    References listed on IDEAS

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    Cited by:

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    12. Lee, Young Duk & Ahn, Kook Young & Morosuk, Tatiana & Tsatsaronis, George, 2018. "Exergetic and exergoeconomic evaluation of an SOFC-Engine hybrid power generation system," Energy, Elsevier, vol. 145(C), pages 810-822.
    13. Chuang Sheng & Yi Zheng & Rui Tian & Qian Xiang & Zhonghua Deng & Xiaowei Fu & Xi Li, 2023. "A Comparative Study of the Kalman Filter and the LSTM Network for the Remaining Useful Life Prediction of SOFC," Energies, MDPI, vol. 16(9), pages 1-16, April.
    14. Xiao-Long Wu & Hong Zhang & Hongli Liu & Yuan-Wu Xu & Jingxuan Peng & Zhiping Xia & Yongan Wang, 2022. "Modeling Analysis of SOFC System Oriented to Working Condition Identification," Energies, MDPI, vol. 15(5), pages 1-19, February.
    15. Li, Bangxin & Irvine, John T.S. & Ni, Jiupai & Ni, Chengsheng, 2022. "High-performance and durable alcohol-fueled symmetrical solid oxide fuel cell based on ferrite perovskite electrode," Applied Energy, Elsevier, vol. 306(PB).
    16. Yuanwu Xu & Hao Shu & Hongchuan Qin & Xiaolong Wu & Jingxuan Peng & Chang Jiang & Zhiping Xia & Yongan Wang & Xi Li, 2022. "Real-Time State of Health Estimation for Solid Oxide Fuel Cells Based on Unscented Kalman Filter," Energies, MDPI, vol. 15(7), pages 1-17, March.
    17. Jingxuan Peng & Dongqi Zhao & Yuanwu Xu & Xiaolong Wu & Xi Li, 2023. "Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies," Energies, MDPI, vol. 16(2), pages 1-23, January.
    18. Zhong, Xiaobo & Xu, Yuanwu & Liu, Yanlin & Wu, Xiaolong & Zhao, Dongqi & Zheng, Yi & Jiang, Jianhua & Deng, Zhonghua & Fu, Xiaowei & Li, Xi, 2020. "Root cause analysis and diagnosis of solid oxide fuel cell system oscillations based on data and topology-based model," Applied Energy, Elsevier, vol. 267(C).
    19. Tanaka, T. & Inui, Y. & Pongratz, G. & Subotić, V. & Hochenauer, C., 2021. "Numerical investigation on the performance and detection of an industrial-sized planar solid oxide fuel cell with fuel gas leakage," Applied Energy, Elsevier, vol. 285(C).
    20. Gong, Chengyuan & Tu, Zhengkai & Hwa Chan, Siew, 2023. "A novel flow field design with flow re-distribution for advanced thermal management in Solid oxide fuel cell," Applied Energy, Elsevier, vol. 331(C).
    21. Cuneo, A. & Zaccaria, V. & Tucker, D. & Sorce, A., 2018. "Gas turbine size optimization in a hybrid system considering SOFC degradation," Applied Energy, Elsevier, vol. 230(C), pages 855-864.
    22. Wu, Xiao-long & Xu, Yuan-Wu & Xue, Tao & Zhao, Dong-qi & Jiang, Jianhua & Deng, Zhonghua & Fu, Xiaowei & Li, Xi, 2019. "Health state prediction and analysis of SOFC system based on the data-driven entire stage experiment," Applied Energy, Elsevier, vol. 248(C), pages 126-140.

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