Ni coarsening and performance attenuation prediction of biomass syngas fueled SOFC by combining multi-physics field modeling and artificial neural network
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DOI: 10.1016/j.apenergy.2022.119508
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- Ran, Peng & Ou, YiFan & Zhang, ChunYu & Chen, YuTong, 2024. "Energy, exergy, economic, and life cycle environmental analysis of a novel biogas-fueled solid oxide fuel cell hybrid power generation system assisted with solar thermal energy storage unit," Applied Energy, Elsevier, vol. 358(C).
- Zhu, Pengfei & Wu, Zhen & Yang, Yuchen & Wang, Huan & Li, Ruiqing & Yang, Fusheng & Zhang, Zaoxiao, 2023. "The dynamic response of solid oxide fuel cell fueled by syngas during the operating condition variations," Applied Energy, Elsevier, vol. 349(C).
- 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.
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Keywords
Solid oxide fuel cell; Ni coarsening; Multi-physics field; Artificial neural network; Performance attenuation prediction;All these keywords.
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