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Computational fluid dynamics simulation of anode-supported solid oxide fuel cells with implementing complete overpotential model

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  • Jeon, Dong Hyup

Abstract

Solid oxide fuel cells are designed to operate in a wide temperature range (600–1000 °C). Operation at high temperature enhances the cell performance, but retains intrinsic problems such as poor long-term stability and high manufacturing cost. Recent studies have directed to the operation in intermediate temperature with incorporating the anode-supported solid oxide fuel cells. Here, we investigate the performance of anode-supported solid oxide fuel cells using a computational fluid dynamics based open-source software. We develop a complete overpotential model based on open-source fuel cell code. This model predicts the cell performance and provides insight into the transport phenomena and electrochemical characteristics. To validate our numerical model, we compare the simulated results with experimental data at intermediate temperatures. The cell performance is decomposed into several component overpotentials to understand the contribution of each one on the overall potential loss. The reduction of electrolyte overpotential is explored to attain high performance at intermediate temperature by investigating the influence of the electrolyte thickness and alternative electrolyte material on the cell performance.

Suggested Citation

  • Jeon, Dong Hyup, 2019. "Computational fluid dynamics simulation of anode-supported solid oxide fuel cells with implementing complete overpotential model," Energy, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:energy:v:188:y:2019:i:c:s0360544219317451
    DOI: 10.1016/j.energy.2019.116050
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    References listed on IDEAS

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    1. Wei Kong & Xiang Gao & Shixue Liu & Shichuan Su & Daifen Chen, 2014. "Optimization of the Interconnect Ribs for a Cathode-Supported Solid Oxide Fuel Cell," Energies, MDPI, vol. 7(1), pages 1-19, January.
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    3. Shixue Liu & Wei Kong & Zijing Lin, 2009. "A Microscale Modeling Tool for the Design and Optimization of Solid Oxide Fuel Cells," Energies, MDPI, vol. 2(2), pages 1-18, June.
    4. Zhang, S. & Reimer, U. & Beale, S.B. & Lehnert, W. & Stolten, D., 2019. "Modeling polymer electrolyte fuel cells: A high precision analysis," Applied Energy, Elsevier, vol. 233, pages 1094-1103.
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    Cited by:

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    2. Fathy, Ahmed & Rezk, Hegazy, 2022. "Political optimizer based approach for estimating SOFC optimal parameters for static and dynamic models," Energy, Elsevier, vol. 238(PC).
    3. Ashraf, Muhammad Adeel & Rashid, Kashif & Rahimipetroudi, Iman & Kim, Hyeon Jin & Dong, Sang Keun, 2020. "Analyzing different planar biogas-fueled SOFC stack designs and their effects on the flow uniformity," Energy, Elsevier, vol. 190(C).

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