Optimal design of large-scale solar-aided hydrogen production process via machine learning based optimisation framework

•Four solar steam methane reforming alternatives are investigated.•Machine learning based optimisation framework is proposed to achieve optimal design.•Total annualised cost is reduced by 14.9 % ~ 15.1% in comparison to existing work.•CO2 emission decreases by 80.0 kt yr−1 than conventional steam me...

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Bibliographic Details
Published in:	Applied energy Vol. 305; p. 117751
Main Authors:	Wang, Wanrong, Ma, Yingjie, Maroufmashat, Azadeh, Zhang, Nan, Li, Jie, Xiao, Xin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2022
Subjects:	algorithms ammonia carbon dioxide electrochemistry energy feedstocks heat Hybrid optimization algorithm Hydrogen hydrogen production Machine learning methane methanol natural gas petroleum photochemistry Solar energy steam Surrogate model transportation industry Hybrid optimization algorithm Surrogate model Hydrogen Solar energy Machine learning
ISSN:	0306-2619, 1872-9118
Online Access:	Get full text
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