Modeling and Optimization of Hydrogen Production from Methanol-Steam Reforming Using Response Surface Methodology and Artificial Neural Network-Reference-Cited by-同舟云学术

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Modeling and Optimization of Hydrogen Production from Methanol-Steam Reforming Using Response Surface Methodology and Artificial Neural Network

Published:2023 Issue: Volume: Page:
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Author:

Chen Wei-Hsin,Cheng Chun-Yin,Chih Yi-Kai,Chein Reiyu,Park Young-Kwon,Sharma Amit Kumar

Publisher

Elsevier BV

Reference52 articles.

1. Assessing the rapidlyemerging landscape of net zero targets;T Hale;Climate Policy,2022

2. LCA comparison analysis for two types of H ₂ carriers: Methanol and ammonia;R Zhu;International Journal of Energy Research,2022

3. The role of Lewis acidic vanadium centers in DME steam reforming over V-Ni catalysts;R Gonz�lez-Gil;Chemical Engineering Journal,2021

4. Water gas shift reaction for hydrogen production and carbon dioxide capture: A review;W-H Chen;Applied Energy,2020

5. A comprehensive review of hydrogen production from methanol thermochemical conversion for sustainability;G Garcia;Energy,2021

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