IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1804-d761193.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1804/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/5/1804/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. Chen, Daifen & Zeng, Qice & Su, Shichuan & Bi, Wuxi & Ren, Zhiqiang, 2013. "Geometric optimization of a 10-cell modular planar solid oxide fuel cell stack manifold," Applied Energy, Elsevier, vol. 112(C), pages 1100-1107.
    4. 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.
    5. Rossi, Iacopo & Traverso, Alberto & Tucker, David, 2019. "SOFC/Gas Turbine Hybrid System: A simplified framework for dynamic simulation," Applied Energy, Elsevier, vol. 238(C), pages 1543-1550.
    6. Dai, Huidong & Besser, R.S., 2022. "Understanding hydrogen sulfide impact on a portable, commercial, propane-powered solid-oxide fuel cell," Applied Energy, Elsevier, vol. 307(C).
    7. 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).
    8. Zhang, Zehan & Li, Shuanghong & Xiao, Yawen & Yang, Yupu, 2019. "Intelligent simultaneous fault diagnosis for solid oxide fuel cell system based on deep learning," Applied Energy, Elsevier, vol. 233, pages 930-942.
    9. Kim, Young Sang & Lee, Young Duk & Ahn, Kook Young, 2020. "System integration and proof-of-concept test results of SOFC–engine hybrid power generation system," Applied Energy, Elsevier, vol. 277(C).
    10. 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).
    11. Wang, Chao & Liao, Mingzheng & Liang, Bo & Jiang, Zhiqiang & Zhong, Weilin & Chen, Ying & Luo, Xianglong & Shu, Riyang & Tian, Zhipeng & Lei, Libin, 2021. "Enhancement effect of catalyst support on indirect hydrogen production from propane partial oxidation towards commercial solid oxide fuel cell (SOFC) applications," Applied Energy, Elsevier, vol. 288(C).
    12. 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.
    13. Sorce, A. & Greco, A. & Magistri, L. & Costamagna, P., 2014. "FDI oriented modeling of an experimental SOFC system, model validation and simulation of faulty states," Applied Energy, Elsevier, vol. 136(C), pages 894-908.
    14. Muhsin Kılıç, 2022. "Evaluation of Combined Thermal–Mechanical Compression Systems: A Review for Energy Efficient Sustainable Cooling," Sustainability, MDPI, vol. 14(21), pages 1-38, October.
    15. Aslannejad, H. & Barelli, L. & Babaie, A. & Bozorgmehri, S., 2016. "Effect of air addition to methane on performance stability and coking over NiO–YSZ anodes of SOFC," Applied Energy, Elsevier, vol. 177(C), pages 179-186.
    16. Xu, Yuan-wu & Wu, Xiao-long & Zhong, Xiao-bo & Zhao, Dong-qi & Sorrentino, Marco & Jiang, Jianhua & Jiang, Chang & Fu, Xiaowei & Li, Xi, 2021. "Mechanism model-based and data-driven approach for the diagnosis of solid oxide fuel cell stack leakage," Applied Energy, Elsevier, vol. 286(C).
    17. Serrano, José Ramón & Arnau, Francisco José & García-Cuevas, Luis Miguel & Gutiérrez, Fabio Alberto, 2022. "Thermo-economic analysis of an oxygen production plant powered by an innovative energy recovery system," Energy, Elsevier, vol. 255(C).
    18. Guk, Erdogan & Venkatesan, Vijay & Babar, Shumaila & Jackson, Lisa & Kim, Jung-Sik, 2019. "Parameters and their impacts on the temperature distribution and thermal gradient of solid oxide fuel cell," Applied Energy, Elsevier, vol. 241(C), pages 164-173.
    19. 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.
    20. Facci, Andrea L. & Cigolotti, Viviana & Jannelli, Elio & Ubertini, Stefano, 2017. "Technical and economic assessment of a SOFC-based energy system for combined cooling, heating and power," Applied Energy, Elsevier, vol. 192(C), pages 563-574.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1804-:d:761193. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.