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Reduced non-isothermal model for the planar solid oxide fuel cell and stack

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  • He, Zhongjie
  • Birgersson, E.
  • Li, Hua

Abstract

The combination of spatial smoothing and asymptotic analysis allows reduction of computationally expensive 3D fuel cell models to 2D without sacrificing leading-order physics. This paper investigates, demonstrates, and verifies the spatial smoothing and asymptotic reduction of a 3D non-isothermal model for the planar solid oxide fuel cell and stack. Particularly, spatially-smoothed energy equations are developed subject to LTE (local thermal equilibrium) and LTNE (local thermal non-equilibrium) conditions in the flow field consisting of parallel plain channels and solid ribs. The selection of either the LTE or LTNE set for use depends on the temperature difference between the gas flow in channels and the ribs. The reduced models agree well with the 3D counterpart in view of the quantified loss of information due to reduction, while the computational cost is reduced by more than three orders of magnitude. The present methodology is generic and can be applied to other types of fuel cells which are slender in shape and equipped with parallel channels. The reduced model allows statistical sensitivity analysis of cell/stack performance with respect to modeling parameters in a large sample size at computational cost that is not prohibitive.

Suggested Citation

  • He, Zhongjie & Birgersson, E. & Li, Hua, 2014. "Reduced non-isothermal model for the planar solid oxide fuel cell and stack," Energy, Elsevier, vol. 70(C), pages 478-492.
    • Handle: RePEc:eee:energy:v:70:y:2014:i:c:p:478-492
    DOI: 10.1016/j.energy.2014.04.021
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    Cited by:

    1. Tonekabonimoghadam, S. & Akikur, R.K. & Hussain, M.A. & Hajimolana, S. & Saidur, R. & Ping, H.W. & Chakrabarti, M.H. & Brandon, N.P. & Aravind, P.V. & Nayagar, J.N.S. & Hashim, M.A., 2015. "Mathematical modelling and experimental validation of an anode-supported tubular solid oxide fuel cell for heat and power generation," Energy, Elsevier, vol. 90(P2), pages 1759-1768.
    2. He, Zhongjie & Li, Hua & Birgersson, E., 2016. "Correlating variability of modeling parameters with cell performance: Monte Carlo simulation of a quasi-3D planar solid oxide fuel cell," Renewable Energy, Elsevier, vol. 85(C), pages 1301-1315.
    3. Yongqing Wang & Bo An & Ke Wang & Yan Cao & Fan Gao, 2020. "Identification of Restricting Parameters on Steps toward the Intermediate-Temperature Planar Solid Oxide Fuel Cell," Energies, MDPI, vol. 13(23), pages 1-15, December.
    4. Lee, Sanghyeok & Park, Mansoo & Kim, Hyoungchul & Yoon, Kyung Joong & Son, Ji-Won & Lee, Jong-Ho & Kim, Byung-Kook & Choi, Wonjoon & Hong, Jongsup, 2017. "Thermal conditions and heat transfer characteristics of high-temperature solid oxide fuel cells investigated by three-dimensional numerical simulations," Energy, Elsevier, vol. 120(C), pages 293-305.
    5. Yongqing Wang & Xingchen Li & Zhenning Guo & Ke Wang & Yan Cao, 2021. "Effect of the Reactant Transportation on Performance of a Planar Solid Oxide Fuel Cell," Energies, MDPI, vol. 14(4), pages 1-14, February.
    6. Li, Ang & Song, Ce & Lin, Zijing, 2017. "A multiphysics fully coupled modeling tool for the design and operation analysis of planar solid oxide fuel cell stacks," Applied Energy, Elsevier, vol. 190(C), pages 1234-1244.
    7. He, Zhongjie & Li, Hua & Birgersson, E., 2014. "Correlating variability of modeling parameters with non-isothermal stack performance: Monte Carlo simulation of a portable 3D planar solid oxide fuel cell stack," Applied Energy, Elsevier, vol. 136(C), pages 560-575.

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