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Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies

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  • Jingxuan Peng

    (School of Artificial Intelligence and Automation, Key Laboratory of Imaging Processing and Intelligent Control of Education Ministry, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Dongqi Zhao

    (School of Artificial Intelligence and Automation, Key Laboratory of Imaging Processing and Intelligent Control of Education Ministry, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yuanwu Xu

    (School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Xiaolong Wu

    (School of Information Engineering, Nanchang University, Nanchang 330031, China)

  • Xi Li

    (School of Artificial Intelligence and Automation, Key Laboratory of Imaging Processing and Intelligent Control of Education Ministry, Huazhong University of Science and Technology, Wuhan 430074, China
    Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518055, China)

Abstract

Solid oxide fuel cell (SOFC) performance degradation analysis and optimization studies are important prerequisites for its commercialization. Reviewing and summarizing SOFC performance degradation studies can help researchers identify research gaps and increase investment in weak areas. In this study, to help researchers purposely improve system performance, degradation mechanism analysis, degradation performance prediction, and degradation performance optimization studies are sorted out. In the review, it is found that the degradation mechanism analysis studies can help to improve the system structure. Degradation mechanism analysis studies can be performed at the stack level and system level, respectively. Degradation performance prediction can help to take measures to mitigate degradation in advance. The main tools of prediction study can be divided into model-based, data-based, electrochemical impedance spectroscopy-based, and image-based approaches. Degradation performance optimization can improve the system performance based on degradation mechanism analysis and performance prediction results. The optimization study focuses on two aspects of constitutive improvement and health controller design. However, the existing research is not yet complete. In-depth studies on performance degradation are still needed to achieve further SOFC commercialization. This paper summarizes mainstream research methods, as well as deficiencies that can provide partial theoretical guidance for SOFC performance enhancement.

Suggested Citation

  • Jingxuan Peng & Dongqi Zhao & Yuanwu Xu & Xiaolong Wu & Xi Li, 2023. "Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies," Energies, MDPI, vol. 16(2), pages 1-23, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:788-:d:1030692
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    References listed on IDEAS

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    Cited by:

    1. Petronilla Fragiacomo & Francesco Piraino & Matteo Genovese & Orlando Corigliano & Giuseppe De Lorenzo, 2023. "Experimental Activities on a Hydrogen-Powered Solid Oxide Fuel Cell System and Guidelines for Its Implementation in Aviation and Maritime Sectors," Energies, MDPI, vol. 16(15), pages 1-25, July.
    2. Yuhang Liu & Jinyi Liu & Lirong Fu & Qiao Wang, 2024. "Numerical Study on Effects of Flow Channel Length on Solid Oxide Fuel Cell-Integrated System Performances," Sustainability, MDPI, vol. 16(4), pages 1-22, February.

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