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Dynamic Modeling of a Parallel-Connected Solid Oxide Fuel Cell Stack System

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  • Chien-Chang Wu

    (Department of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan)

  • Tsung-Lin Chen

    (Department of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan)

Abstract

This study proposes novel simulation methods to model the power delivery function of a parallel-connected solid-oxide-fuel-cell stack system. The proposed methods are then used to investigate the possible thermal runaway induced by the performance mismatch between the employed stacks. A challenge in this modeling study is to achieve the same output voltage but different output current for each employed stack. Conventional fuel-cell models cannot be used, because they employ fuel flow rates and stack currents as the input variables. These two variables are unknown in the parallel-connected stack systems. The proposed method solves the aforementioned problems by integrating the fuel supply dynamics with the conventional stack models and then arranging them in a multiple-feedback-loop configuration for conducting simulations. The simulation results indicate that the proposed methods can model the transient response of the parallel-connected stack system. Moreover, for the dynamics of the power distribution, there exists an unstable positive feedback loop between employed stacks when the stack temperatures are low, and a stable negative feedback loop when the stack temperatures are high. A thermal runaway could be initiated when the dynamics of the stack temperature is slower than that of the current distribution.

Suggested Citation

  • Chien-Chang Wu & Tsung-Lin Chen, 2020. "Dynamic Modeling of a Parallel-Connected Solid Oxide Fuel Cell Stack System," Energies, MDPI, vol. 13(2), pages 1-20, January.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:501-:d:310970
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    References listed on IDEAS

    as
    1. Siwei Han & Li Sun & Jiong Shen & Lei Pan & Kwang Y. Lee, 2018. "Optimal Load-Tracking Operation of Grid-Connected Solid Oxide Fuel Cells through Set Point Scheduling and Combined L1-MPC Control," Energies, MDPI, vol. 11(4), pages 1-23, March.
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    3. Paulina Pianko-Oprych & S. M. Hosseini, 2017. "Dynamic Analysis of Load Operations of Two-Stage SOFC Stacks Power Generation System," Energies, MDPI, vol. 10(12), pages 1-21, December.
    4. Menon, Vikram & Banerjee, Aayan & Dailly, Julian & Deutschmann, Olaf, 2015. "Numerical analysis of mass and heat transport in proton-conducting SOFCs with direct internal reforming," Applied Energy, Elsevier, vol. 149(C), pages 161-175.
    5. Raluca-Andreea Felseghi & Elena Carcadea & Maria Simona Raboaca & Cătălin Nicolae TRUFIN & Constantin Filote, 2019. "Hydrogen Fuel Cell Technology for the Sustainable Future of Stationary Applications," Energies, MDPI, vol. 12(23), pages 1-28, December.
    6. Han Chang & In-Hee Lee, 2019. "Environmental and Efficiency Analysis of Simulated Application of the Solid Oxide Fuel Cell Co-Generation System in a Dormitory Building," Energies, MDPI, vol. 12(20), pages 1-20, October.
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    Cited by:

    1. Chien-Chang Wu & Tsung-Lin Chen, 2020. "Design and Experiment of a Power Sharing Control Circuit for Parallel Fuel Cell Modules," Energies, MDPI, vol. 13(11), pages 1-23, June.
    2. Chung-Jen Chou & Shyh-Biau Jiang & Tse-Liang Yeh & Li-Duan Tsai & Ku-Yen Kang & Ching-Jung Liu, 2020. "A Portable Direct Methanol Fuel Cell Power Station for Long-Term Internet of Things Applications," Energies, MDPI, vol. 13(14), pages 1-13, July.

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