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Electrochemical performance of solid oxide fuel cell: Experimental study and calibrated model

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  • Yahya, Abir
  • Ferrero, Domenico
  • Dhahri, Hacen
  • Leone, Pierluigi
  • Slimi, Khalifa
  • Santarelli, Massimo

Abstract

This paper treats an experimental and modeling study to predict the electrochemical performance of a Ni/YSZ supported planar SOFC with the air electrode made by LSFC-GDC. A complete electrochemical model is developed and calibrated on experiments to validate the numerical data. A detailed description is presented to show how the electrochemical parameters are fitted, the validity of proposed model and the fitting parameters is shown by comparing experimental data with numerical results. The parameters are discussed in comparison with the literature, and the effect of fuel dilution with N2 on the anodic activation is highlighted. Moreover, the effects of key operating parameters such as, hydrogen molar fraction, fuel flow rate and temperature, on the cell performance are investigated. Because the dependence of overpotentials on molar fraction, increasing the hydrogen molar fraction enhances the power density for both H2/H2O and H2/N2 mixtures. Similarly, the fuel flow rate presents the same trend as that of hydrogen molar fraction. The ohmic, activation and concentration overpotentials are affected by the operating temperature. Therefore, higher power density can be obtained at a higher temperature.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:932-943
    DOI: 10.1016/j.energy.2017.10.088
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    2. Fiammetta Rita Bianchi & Arianna Baldinelli & Linda Barelli & Giovanni Cinti & Emilio Audasso & Barbara Bosio, 2020. "Multiscale Modeling for Reversible Solid Oxide Cell Operation," Energies, MDPI, vol. 13(19), pages 1-16, September.
    3. Farsi, Aida & Rosen, Marc A., 2023. "Performance analysis of a hybrid aircraft propulsion system using solid oxide fuel cell, lithium ion battery and gas turbine," Applied Energy, Elsevier, vol. 329(C).
    4. Luca Del Zotto & Andrea Monforti Ferrario & Arda Hatunoglu & Alessandro Dell’Era & Stephen McPhail & Enrico Bocci, 2021. "Experimental Procedures & First Results of an Innovative Solid Oxide Fuel Cell Test Rig: Parametric Analysis and Stability Test," Energies, MDPI, vol. 14(8), pages 1-19, April.
    5. Jin, Xinfang & Ku, Anthony & Ohara, Brandon & Huang, Kevin & Singh, Surinder, 2021. "Performance analysis of a 550MWe solid oxide fuel cell and air turbine hybrid system powered by coal-derived syngas," Energy, Elsevier, vol. 222(C).
    6. Wang, Nan & Wang, Dongxuan & Xing, Yazhou & Shao, Limin & Afzal, Sadegh, 2020. "Application of co-evolution RNA genetic algorithm for obtaining optimal parameters of SOFC model," Renewable Energy, Elsevier, vol. 150(C), pages 221-233.
    7. 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).
    8. Pan, Zehua & Shen, Jian & Wang, Jingyi & Xu, Xinhai & Chan, Wei Ping & Liu, Siyu & Zhou, Yexin & Yan, Zilin & Jiao, Zhenjun & Lim, Teik-Thye & Zhong, Zheng, 2022. "Thermodynamic analyses of a standalone diesel-fueled distributed power generation system based on solid oxide fuel cells," Applied Energy, Elsevier, vol. 308(C).
    9. Wei, Ya & Stanford, Russell J., 2019. "Parameter identification of solid oxide fuel cell by Chaotic Binary Shark Smell Optimization method," Energy, Elsevier, vol. 188(C).

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