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Parameter study of transient carbon deposition effect on the performance of a planar solid oxide fuel cell

Author

Listed:
  • Ma, Ting
  • Yan, Min
  • Zeng, Min
  • Yuan, Jin-liang
  • Chen, Qiu-yang
  • Sundén, Bengt
  • Wang, Qiu-wang

Abstract

Carbon deposition has a serious effect on the performance of solid oxide fuel cells (SOFCs). An unsteady-state 2D model based on COMSOL software is used to study the carbon deposition process in a planar SOFC. The carbon deposition, catalyst activity, reaction rate and temperature fields are obtained to analyse the mechanism of carbon deposition in the SOFC at different operating time. The effects of the operating voltage, inlet H2 molar fraction, operating pressure and operating temperature on the performance of the SOFC are investigated in detail. It is found that the biggest variation of the performances caused by carbon deposition occurs in the inlet domain of the anode support layer. The increase of operating voltage, inlet H2 molar fraction, operating pressure and temperature accelerates the carbon deposition process. The predicted results could deepen our understanding of carbon deposition and its transient quantitative effects on the catalyst, structure and cell performance.

Suggested Citation

  • Ma, Ting & Yan, Min & Zeng, Min & Yuan, Jin-liang & Chen, Qiu-yang & Sundén, Bengt & Wang, Qiu-wang, 2015. "Parameter study of transient carbon deposition effect on the performance of a planar solid oxide fuel cell," Applied Energy, Elsevier, vol. 152(C), pages 217-228.
    • Handle: RePEc:eee:appene:v:152:y:2015:i:c:p:217-228
    DOI: 10.1016/j.apenergy.2014.11.061
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Subotić, Vanja & Stoeckl, Bernhard & Lawlor, Vincent & Strasser, Johannes & Schroettner, Hartmuth & Hochenauer, Christoph, 2018. "Towards a practical tool for online monitoring of solid oxide fuel cell operation: An experimental study and application of advanced data analysis approaches," Applied Energy, Elsevier, vol. 222(C), pages 748-761.
    2. Thieu, Cam-Anh & Ji, Ho-Il & Kim, Hyoungchul & Yoon, Kyung Joong & Lee, Jong-Ho & Son, Ji-Won, 2019. "Palladium incorporation at the anode of thin-film solid oxide fuel cells and its effect on direct utilization of butane fuel at 600 °C," Applied Energy, Elsevier, vol. 243(C), pages 155-164.
    3. 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.
    4. Xu, Han & Dang, Zheng, 2016. "Lattice Boltzmann modeling of carbon deposition in porous anode of a solid oxide fuel cell with internal reforming," Applied Energy, Elsevier, vol. 178(C), pages 294-307.
    5. Barelli, L. & Bidini, G. & Cinti, G. & Gallorini, F. & Pöniz, M., 2017. "SOFC stack coupled with dry reforming," Applied Energy, Elsevier, vol. 192(C), pages 498-507.
    6. Zaccaria, V. & Tucker, D. & Traverso, A., 2017. "Operating strategies to minimize degradation in fuel cell gas turbine hybrids," Applied Energy, Elsevier, vol. 192(C), pages 437-445.
    7. Zheng Li & Guogang Yang & Qiuwan Shen & Shian Li & Hao Wang & Jiadong Liao & Ziheng Jiang & Guoling Zhang, 2022. "Transient Multi-Physics Modeling and Performance Degradation Evaluation of Direct Internal Reforming Solid Oxide Fuel Cell Focusing on Carbon Deposition Effect," Energies, MDPI, vol. 16(1), pages 1-20, December.
    8. Oryshchyn, Danylo & Harun, Nor Farida & Tucker, David & Bryden, Kenneth M. & Shadle, Lawrence, 2018. "Fuel utilization effects on system efficiency in solid oxide fuel cell gas turbine hybrid systems," Applied Energy, Elsevier, vol. 228(C), pages 1953-1965.
    9. Wendel, Christopher H. & Braun, Robert J., 2016. "Design and techno-economic analysis of high efficiency reversible solid oxide cell systems for distributed energy storage," Applied Energy, Elsevier, vol. 172(C), pages 118-131.
    10. Zhu, Pengfei & Wu, Zhen & Wang, Huan & Yan, Hongli & Li, Bo & Yang, Fusheng & Zhang, Zaoxiao, 2022. "Ni coarsening and performance attenuation prediction of biomass syngas fueled SOFC by combining multi-physics field modeling and artificial neural network," Applied Energy, Elsevier, vol. 322(C).

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