Multi-perspective analysis of CO poisoning in high-temperature proton exchange membrane fuel cell stack via numerical investigation
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DOI: 10.1016/j.renene.2021.08.089
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Cited by:
- Chen, Guohua & Li, Geliang & Xie, Mulin & Xu, Qiming & Zhang, Geng, 2024. "A probabilistic analysis method based on Noisy-OR gate Bayesian network for hydrogen leakage of proton exchange membrane fuel cell," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Zhang, Gang & Zhou, Su & Gao, Jianhua & Fan, Lei & Lu, Yanda, 2023. "Stacks multi-objective allocation optimization for multi-stack fuel cell systems," Applied Energy, Elsevier, vol. 331(C).
- Xu, Jiawei & Xiao, Shengying & Xu, Xinrui & Xu, Xinhai, 2022. "Numerical study of carbon monoxide poisoning effect on high temperature PEMFCs based on an elementary reaction kinetics coupled electrochemical reaction model," Applied Energy, Elsevier, vol. 318(C).
- Deng, Shutong & Zhang, Jun & Zhang, Caizhi & Luo, Mengzhu & Ni, Meng & Li, Yu & Zeng, Tao, 2022. "Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model," Applied Energy, Elsevier, vol. 327(C).
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More about this item
Keywords
HT-PEMFC stack; CO poisoning; Numerical model; Anodic kinetic parameters; H2 and CO coverage;All these keywords.
JEL classification:
- H2 - Public Economics - - Taxation, Subsidies, and Revenue
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