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Modeling Analysis of SOFC System Oriented to Working Condition Identification

Author

Listed:
  • Xiao-Long Wu

    (School of Information Engineering, Nanchang University, Nanchang 330031, China
    Shenzhen Research Institute, Huazhong University of Science and Technology, Shenzhen 518063, China)

  • Hong Zhang

    (School of Information Engineering, Nanchang University, Nanchang 330031, China
    School of Mathematics and Computer Sciences, 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)

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.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1804-:d:761193
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    References listed on IDEAS

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    1. Palomba, Valeria & Ferraro, Marco & Frazzica, Andrea & Vasta, Salvatore & Sergi, Francesco & Antonucci, Vincenzo, 2018. "Experimental and numerical analysis of a SOFC-CHP system with adsorption and hybrid chillers for telecommunication applications," Applied Energy, Elsevier, vol. 216(C), pages 620-633.
    2. 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.
    3. Krummrein, T. & Henke, M. & Kutne, P. & Aigner, M., 2018. "Numerical analysis of operating range and SOFC-off-gas combustor requirements of a biogas powered SOFC-MGT hybrid power plant," Applied Energy, Elsevier, vol. 232(C), pages 598-606.
    4. Chen, Bin & Xu, Haoran & Tan, Peng & Zhang, Yuan & Xu, Xiaoming & Cai, Weizi & Chen, Meina & Ni, Meng, 2019. "Thermal modelling of ethanol-fuelled Solid Oxide Fuel Cells," Applied Energy, Elsevier, vol. 237(C), pages 476-486.
    5. Polverino, Pierpaolo & Sorrentino, Marco & Pianese, Cesare, 2017. "A model-based diagnostic technique to enhance faults isolability in Solid Oxide Fuel Cell systems," Applied Energy, Elsevier, vol. 204(C), pages 1198-1214.
    6. Park, Sung Ku & Kim, Tong Seop & Sohn, Jeong L. & Lee, Young Duk, 2011. "An integrated power generation system combining solid oxide fuel cell and oxy-fuel combustion for high performance and CO2 capture," Applied Energy, Elsevier, vol. 88(4), pages 1187-1196, April.
    7. Yan, Min & Zeng, Min & Chen, Qiuyang & Wang, Qiuwang, 2012. "Numerical study on carbon deposition of SOFC with unsteady state variation of porosity," Applied Energy, Elsevier, vol. 97(C), pages 754-762.
    8. Antonucci, V. & Branchini, L. & Brunaccini, G. & De Pascale, A. & Ferraro, M. & Melino, F. & Orlandini, V. & Sergi, F., 2017. "Thermal integration of a SOFC power generator and a Na–NiCl2 battery for CHP domestic application," Applied Energy, Elsevier, vol. 185(P2), pages 1256-1267.
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