Degradations of the electrochemical performance of solid oxide fuel cell induced by material microstructure evolutions
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DOI: 10.1016/j.apenergy.2018.09.127
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Cited by:
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- Eichhorn Colombo, Konrad W. & Kharton, Vladislav V. & Berto, Filippo & Paltrinieri, Nicola, 2020. "Mathematical modeling and simulation of hydrogen-fueled solid oxide fuel cell system for micro-grid applications - Effect of failure and degradation on transient performance," Energy, Elsevier, vol. 202(C).
- Siyu Lu & Man Zhang & Jie Wu & Wei Kong, 2022. "Performance Investigation on Mono-Block-Layer Build Type Solid Oxide Fuel Cells with a Vertical Rib Design," Energies, MDPI, vol. 15(3), pages 1-12, January.
- Guk, Erdogan & Venkatesan, Vijay & Babar, Shumaila & Jackson, Lisa & Kim, Jung-Sik, 2019. "Parameters and their impacts on the temperature distribution and thermal gradient of solid oxide fuel cell," Applied Energy, Elsevier, vol. 241(C), pages 164-173.
- Zarabi Golkhatmi, Sanaz & Asghar, Muhammad Imran & Lund, Peter D., 2022. "A review on solid oxide fuel cell durability: Latest progress, mechanisms, and study tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
- Hector del Pozo Gonzalez & Marc Torrell & Lucile Bernadet & Fernando D. Bianchi & Lluís Trilla & Albert Tarancón & Jose Luis Domínguez-García, 2023. "Mathematical Modeling and Thermal Control of a 1.5 kW Reversible Solid Oxide Stack for 24/7 Hydrogen Plants," Mathematics, MDPI, vol. 11(2), pages 1-18, January.
- Fu, Quanrong & Tian, Chunyu & Hun, Lianming & Wang, Xin & Li, Zhiyi & Liu, Zhijun & Wei, Wei, 2024. "Ni agglomeration and performance degradation of solid oxide fuel cell: A model-based quantitative study and microstructure optimization," Energy, Elsevier, vol. 289(C).
- Shao, Qian & Gao, Enlai & Mara, Thierry & Hu, Heng & Liu, Tong & Makradi, Ahmed, 2020. "Global sensitivity analysis of solid oxide fuel cells with Bayesian sparse polynomial chaos expansions," Applied Energy, Elsevier, vol. 260(C).
- Zhu, Pengfei & Wu, Zhen & Wang, Huan & Yan, Hongli & Li, Bo & Yang, Fusheng & Zhang, Zaoxiao, 2022. "Ni coarsening and performance attenuation prediction of biomass syngas fueled SOFC by combining multi-physics field modeling and artificial neural network," Applied Energy, Elsevier, vol. 322(C).
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Keywords
Degradation mechanism; Multi-physics modeling; Nickel particle coarsening; Oxide scale growth; Microstructure design;All these keywords.
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