Reactor design of methanol steam reforming by evolutionary computation and hydrogen production maximization by machine learning
A numerical model is developed to predict the methanol steam reforming for H-2 production. This research designs an methanol steam reforming reactor and uses the Nelder-Mead algorithm to find an equivalent steam tube radius by minimizing the error between the simulation and experimental data. The ef...
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Main Authors: | , , , , |
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Format: | Article |
Published: |
John Wiley & Sons
2022
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Online Access: | http://eprints.um.edu.my/41024/ |
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