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Reversible and Irreversible Potentials and an Inaccuracy in Popular Models in the Fuel Cell Literature

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  • Uday K. Chakraborty

    (Department of Mathematics and Computer Science, University of Missouri, St. Louis, MO 63121, USA)

Abstract

Modeling is an integral part of fuel cell design and development. This paper identifies a long-standing inaccuracy in the fuel cell modeling literature. Specifically, it discusses an inexact insertion, in popular models, of cell/stack current into Nernst’s equation in the derivation of output (load) voltage. The origin of the inaccuracy is traced to the nature of reversible and irreversible potentials (equilibrium and non-equilibrium states) in the cell. The significance of the inaccuracy is explained in the context of the electrochemistry and thermodynamics of the fuel cell.

Suggested Citation

  • Uday K. Chakraborty, 2018. "Reversible and Irreversible Potentials and an Inaccuracy in Popular Models in the Fuel Cell Literature," Energies, MDPI, vol. 11(7), pages 1-11, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1851-:d:158102
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    References listed on IDEAS

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    1. Chakraborty, Uday Kumar, 2009. "Static and dynamic modeling of solid oxide fuel cell using genetic programming," Energy, Elsevier, vol. 34(6), pages 740-751.
    2. Li Sun & Qingsong Hua & Jiong Shen & Yali Xue & Donghai Li & Kwang Y. Lee, 2017. "A Combined Voltage Control Strategy for Fuel Cell," Sustainability, MDPI, vol. 9(9), pages 1-15, August.
    3. Chakraborty, Uday K. & Abbott, Travis E. & Das, Sajal K., 2012. "PEM fuel cell modeling using differential evolution," Energy, Elsevier, vol. 40(1), pages 387-399.
    4. Chakraborty, Uday Kumar, 2011. "An error in solid oxide fuel cell stack modeling," Energy, Elsevier, vol. 36(2), pages 801-802.
    5. Barelli, L. & Bidini, G. & Ottaviano, A., 2016. "Solid oxide fuel cell modelling: Electrochemical performance and thermal management during load-following operation," Energy, Elsevier, vol. 115(P1), pages 107-119.
    6. Safari, Amin & Shahsavari, Hossein & Salehi, Javad, 2018. "A mathematical model of SOFC power plant for dynamic simulation of multi-machine power systems," Energy, Elsevier, vol. 149(C), pages 397-413.
    7. Chettibi, N. & Mellit, A., 2018. "Intelligent control strategy for a grid connected PV/SOFC/BESS energy generation system," Energy, Elsevier, vol. 147(C), pages 239-262.
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    Cited by:

    1. Arne L. Lazar & Swantje C. Konradt & Hermann Rottengruber, 2019. "Open-Source Dynamic Matlab/Simulink 1D Proton Exchange Membrane Fuel Cell Model," Energies, MDPI, vol. 12(18), pages 1-12, September.
    2. Hegazy Rezk & Rania M. Ghoniem & Seydali Ferahtia & Ahmed Fathy & Mohamed M. Ghoniem & Reem Alkanhel, 2022. "A Comparison of Different Renewable-Based DC Microgrid Energy Management Strategies for Commercial Buildings Applications," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
    3. Uday K. Chakraborty, 2019. "Proton Exchange Membrane Fuel Cell Stack Design Optimization Using an Improved Jaya Algorithm," Energies, MDPI, vol. 12(16), pages 1-26, August.

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