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Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell

Author

Listed:
  • Lukasz Szablowski

    (Faculty of Power and Aeronautical Engineering, Institute of Heat Engineering, Warsaw University of Technology, 21/25 Nowowiejska Street, 00-665 Warsaw, Poland)

  • Olaf Dybinski

    (Faculty of Power and Aeronautical Engineering, Institute of Heat Engineering, Warsaw University of Technology, 21/25 Nowowiejska Street, 00-665 Warsaw, Poland)

  • Arkadiusz Szczesniak

    (Faculty of Power and Aeronautical Engineering, Institute of Heat Engineering, Warsaw University of Technology, 21/25 Nowowiejska Street, 00-665 Warsaw, Poland)

  • Jaroslaw Milewski

    (Faculty of Power and Aeronautical Engineering, Institute of Heat Engineering, Warsaw University of Technology, 21/25 Nowowiejska Street, 00-665 Warsaw, Poland)

Abstract

The paper presents a mathematical model of a molten carbonate fuel cell with a catalyst in the anode channel. The modeled system is fueled by methane. The system includes a model of the steam reforming process occurring in the anode channel of the MCFC fuel cell and the model of the cell itself. A reduced order model was used to describe the operation of the molten carbonate fuel cell, whereas a kinetic model describes the methane steam reforming. The calculations of the reforming were done in Aspen HYSYS software. Four values of the steam-to-carbon ratio (2.0, 2.5, 3.0, and 3.5) were used to analyze the performance of the reforming process. In the first phase, the reaction kinetics model was based on data from the literature.

Suggested Citation

  • Lukasz Szablowski & Olaf Dybinski & Arkadiusz Szczesniak & Jaroslaw Milewski, 2022. "Mathematical Model of Steam Reforming in the Anode Channel of a Molten Carbonate Fuel Cell," Energies, MDPI, vol. 15(2), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:608-:d:725540
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    Citations

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    Cited by:

    1. Martsinchyk, Aliaksandr & Milewski, Jaroslaw & Dybiński, Olaf & Szczęśniak, Arkadiusz & Siekierski, Maciej & Świrski, Konrad, 2023. "Experimental investigation of novel molten borate fuel cell supported by an artificial neural network for electrolyte composition selection," Energy, Elsevier, vol. 279(C).

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