Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry

Alipour Bonab, Shahin; Waite, Thomas; Song, Wenjuan; Flynn, David; Yazdani-Asrami, Mohammad

doi:10.1016/j.egyr.2024.08.028

Energy Reports

2024

DOI: 10.1016/j.egyr.2024.08.028

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Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry

Shahin Alipour Bonab,

Thomas Waite,

Wenjuan Song

et al.

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Cited by 4 publications

References 39 publications

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Artificial intelligence-based model to predict the heat transfer coefficient in flow boiling of liquid hydrogen as fuel and cryogenic coolant in future hydrogen-powered cryo-electric aviation

Alipour Bonab,

Yazdani-Asrami

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Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry

Cited by 4 publications

References 39 publications

Artificial intelligence-based model to predict the heat transfer coefficient in flow boiling of liquid hydrogen as fuel and cryogenic coolant in future hydrogen-powered cryo-electric aviation

Artificial intelligence-based model to predict the heat transfer coefficient in flow boiling of liquid hydrogen as fuel and cryogenic coolant in future hydrogen-powered cryo-electric aviation

Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique

A green hydrogen production model from solar powered water electrolyze based on deep chaotic Lévy gazelle optimization

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