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Comparison between two methane reforming models applied to a quasi-two-dimensional planar solid oxide fuel cell model

Author

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  • Hofmann, P.
  • Panopoulos, K.D.
  • Fryda, L.E.
  • Kakaras, E.

Abstract

Up to recently 2-D solid oxide fuel cell (SOFC) modelling efforts were based on global kinetic approaches for the methane steam reforming and water gas shift reactions (WGS) or thermodynamic equilibrium. Lately detailed models for elementary heterogeneous chemical kinetics of reforming (HCR) over Ni–YSZ anode became available in literature. Both approaches were employed in a quasi 2-D model of a planar high temperature electrolyte supported (ESC) SOFC and simulations were carried out for three different fuel gas compositions: pre-reformed natural gas (high CH4 content), and two different biomass derived producer gases (low CH4 content). The results show that the HCR predicts much slower reforming rates which leads to a more evenly distributed solid temperature but smaller power output and thus electrical efficiency. The two models result into predictions that differ greatly if high methane content fuels are used and for such cases the decision upon the modelling scheme to follow should be based on experimental investigations.

Suggested Citation

  • Hofmann, P. & Panopoulos, K.D. & Fryda, L.E. & Kakaras, E., 2009. "Comparison between two methane reforming models applied to a quasi-two-dimensional planar solid oxide fuel cell model," Energy, Elsevier, vol. 34(12), pages 2151-2157.
  • Handle: RePEc:eee:energy:v:34:y:2009:i:12:p:2151-2157
    DOI: 10.1016/j.energy.2008.09.015
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    Citations

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    Cited by:

    1. Hajimolana, S. Ahmad & Hussain, M. Azlan & Daud, W.M. Ashri Wan & Soroush, M. & Shamiri, A., 2011. "Mathematical modeling of solid oxide fuel cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1893-1917, May.
    2. Chakraborty, Uday Kumar, 2011. "An error in solid oxide fuel cell stack modeling," Energy, Elsevier, vol. 36(2), pages 801-802.
    3. Rashid, Kashif & Dong, Sang Keun & Mehran, Muhammad Taqi, 2017. "Numerical investigations to determine the optimal operating conditions for 1 kW-class flat-tubular solid oxide fuel cell stack," Energy, Elsevier, vol. 141(C), pages 673-691.
    4. Yahya, Abir & Ferrero, Domenico & Dhahri, Hacen & Leone, Pierluigi & Slimi, Khalifa & Santarelli, Massimo, 2018. "Electrochemical performance of solid oxide fuel cell: Experimental study and calibrated model," Energy, Elsevier, vol. 142(C), pages 932-943.
    5. Luca Micoli & Roberta Russo & Tommaso Coppola & Andrea Pietra, 2023. "Performance Assessment of the Heat Recovery System of a 12 MW SOFC-Based Generator on Board a Cruise Ship through a 0D Model," Energies, MDPI, vol. 16(8), pages 1-14, April.
    6. Yang, Chao & Jing, Xiuhui & Miao, He & Wu, Yu & Shu, Chen & Wang, Jiatang & Zhang, Houcheng & Yu, Guojun & Yuan, Jinliang, 2020. "Analysis of effects of meso-scale reactions on multiphysics transport processes in rSOFC fueled with syngas," Energy, Elsevier, vol. 190(C).
    7. 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.
    8. Hong, Sung Kook & Dong, Sang Keun & Han, Jeong Ok & Lee, Joong Seong & Lee, Young Chul, 2013. "Numerical study of effect of operating and design parameters for design of steam reforming reactor," Energy, Elsevier, vol. 61(C), pages 410-418.
    9. van Biert, L. & Godjevac, M. & Visser, K. & Aravind, P.V., 2019. "Dynamic modelling of a direct internal reforming solid oxide fuel cell stack based on single cell experiments," Applied Energy, Elsevier, vol. 250(C), pages 976-990.
    10. Iwai, H. & Yamamoto, Y. & Saito, M. & Yoshida, H., 2011. "Numerical simulation of intermediate-temperature direct-internal-reforming planar solid oxide fuel cell," Energy, Elsevier, vol. 36(4), pages 2225-2234.
    11. Doherty, Wayne & Reynolds, Anthony & Kennedy, David, 2010. "Computer simulation of a biomass gasification-solid oxide fuel cell power system using Aspen Plus," Energy, Elsevier, vol. 35(12), pages 4545-4555.
    12. Xu, Han & Dang, Zheng & Bai, Bo-Feng, 2014. "Electrochemical performance study of solid oxide fuel cell using lattice Boltzmann method," Energy, Elsevier, vol. 67(C), pages 575-583.

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