降级(电信)
固体氧化物燃料电池
商业化
计算机科学
机制(生物学)
可靠性工程
生化工程
工艺工程
工程类
阳极
化学
哲学
法学
物理化学
电极
认识论
电信
政治学
作者
Jingxuan Peng,Dongqi Zhao,Yuanwu Xu,Xiaolong Wu,Xi Li
出处
期刊:Energies
[MDPI AG]
日期:2023-01-10
卷期号:16 (2): 788-788
被引量:10
摘要
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.
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