System behavior prediction by artificial neural network algorithm of a methanol steam reformer for polymer electrolyte fuel cell stack use
Author:
Affiliation:
1. Department of Energy Sciences Lund University Lund Sweden
2. Energy School Xi'an University of Science and Technology Xi'an China
Publisher
Wiley
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/fuce.202100006
Reference41 articles.
1. Electrospun fabrication of nanofibers as high-performance cathodes of solid oxide fuel cells
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3. Thermal stress analysis at the interface of cathode and electrolyte in solid oxide fuel cells
4. Study of Catalysts for Hydrogen Production by the High Temperature Steam Reforming of Methanol
5. Methanol Steam Reforming for Hydrogen Production
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