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Macro Level Modeling of a Tubular Solid Oxide Fuel Cell

Author

Listed:
  • Torgeir Suther

    (Department of Mechanical Engineering, Dalhousie University, 1360 Barrington Street, Room C360, Halifax, Nova Scotia, B3J 1Z1, Canada)

  • Alan Fung

    (Department of Mechanical and Industrial Engineering, Ryerson University, 350 Victoria Street Toronto, Ontario, M5B 2K3, Canada)

  • Murat Koksal

    (Department of Mechanical Engineering, Faculty of Engineering, Hacettepe University, Beytepe, Ankara 06800, Turkey)

  • Farshid Zabihian

    (Department of Mechanical and Industrial Engineering, Ryerson University, 350 Victoria Street Toronto, Ontario, M5B 2K3, Canada)

Abstract

This paper presents a macro-level model of a solid oxide fuel cell (SOFC) stack implemented in Aspen Plus ® for the simulation of SOFC system. The model is 0-dimensional and accepts hydrocarbon fuels such as reformed natural gas, with user inputs of current density, fuel and air composition, flow rates, temperature, pressure, and fuel utilization factor. The model outputs the composition of the exhaust, work produced, heat available for the fuel reformer, and electrochemical properties of SOFC for model validation. It was developed considering the activation, concentration, and ohmic losses to be the main over-potentials within the SOFC, and mathematical expressions for these were chosen based on available studies in the literature. The model also considered the water shift reaction of CO and the methane reforming reaction. The model results were validated using experimental data from Siemens Westinghouse. The results showed that the model could capture the operating pressure and temperature dependency of the SOFC performance successfully in an operating range of 1–15 atm for pressure and 900 °C–1,000 °C for temperature. Furthermore, a sensitivity analysis was performed to identify the model constants and input parameters that impacted the over-potentials.

Suggested Citation

  • Torgeir Suther & Alan Fung & Murat Koksal & Farshid Zabihian, 2010. "Macro Level Modeling of a Tubular Solid Oxide Fuel Cell," Sustainability, MDPI, vol. 2(11), pages 1-12, November.
    • Handle: RePEc:gam:jsusta:v:2:y:2010:i:11:p:3549-3560:d:10282
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    Citations

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    Cited by:

    1. Long Wu & Li Sun & Jiong Shen & Qingsong Hua, 2018. "Multiple Model Predictive Hybrid Feedforward Control of Fuel Cell Power Generation System," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    2. Alan Cruz Rojas & Guadalupe Lopez Lopez & J. F. Gomez-Aguilar & Victor M. Alvarado & Cinda Luz Sandoval Torres, 2017. "Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
    3. 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.
    4. Mabrouki Jamal, 2022. "Mathematical Modelling of Biogas Production in a Controlled Landfill: Characterization, Valorization Study and Energy Potential," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    5. In-Bok Lee & Chang Geun Song, 2016. "Financial Risk Factor Analysis for Facility Gas Leakages of H 2 and NG," Sustainability, MDPI, vol. 8(9), pages 1-17, September.

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