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Improvement on durability and thermal cycle performance for solid oxide fuel cell stack with external manifold structure

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  • Yang, JiaJun
  • Yan, Dong
  • Huang, Wei
  • Li, Jun
  • Pu, Jian
  • Chi, Bo
  • Jian, Li

Abstract

Two 5-cell solid oxide fuel cell (SOFC) stacks with an external manifold structure are constructed and their degradation and thermal cycle performance are investigated at 750 °C. The cell consists of anode-supported cells with a size of 11 × 11 cm. In Stack A, the voltage degradation rate during 140 h tests at a current density of 400 mA/cm2 is about 50%/1000 h. The factors influencing the performance of stack are investigated by post-test analysis. We found partial decomposition of the cathode contact materials LaCo0.6Ni0.4O3-δ and higher oxidation rate of metallic interconnect, resulting in an increase of the electrical resistance of the stack. Owning to the improvement of suitable sealing materials and interconnect, the resulting Stack B exhibited reasonable degradation rate of about 5%/1000 h during 140 h at a current density of 500 mA/cm2 together with a good thermal cycle stability. The applicability of stacks with an external manifold structure can be demonstrated in planar intermediate temperature SOFC.

Suggested Citation

  • Yang, JiaJun & Yan, Dong & Huang, Wei & Li, Jun & Pu, Jian & Chi, Bo & Jian, Li, 2018. "Improvement on durability and thermal cycle performance for solid oxide fuel cell stack with external manifold structure," Energy, Elsevier, vol. 149(C), pages 903-913.
  • Handle: RePEc:eee:energy:v:149:y:2018:i:c:p:903-913
    DOI: 10.1016/j.energy.2018.02.072
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    Cited by:

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    2. Giorgia Ghiara & Paolo Piccardo & Valeria Bongiorno & Christian Geipel & Roberto Spotorno, 2020. "Characterization of Metallic Interconnects Extracted from Solid Oxide Fuel Cell Stacks Operated up to 20,000 h in Real Life Conditions: The Air Side," Energies, MDPI, vol. 13(24), pages 1-18, December.
    3. 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.
    4. 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).
    5. Koo, Taehyung & Kim, Young Sang & Lee, Dongkeun & Yu, Sangseok & Lee, Young Duk, 2021. "System simulation and exergetic analysis of solid oxide fuel cell power generation system with cascade configuration," Energy, Elsevier, vol. 214(C).

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