Reactor design of methanol steam reforming by evolutionary computation and hydrogen production maximization by machine learning-Reference-Cited by-同舟云学术

Reactor design of methanol steam reforming by evolutionary computation and hydrogen production maximization by machine learning

Published:2021-12-14 Issue: Volume: Page:
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Intl J of Energy Research

Author:

Chen Wei‐Hsin¹²³^ORCID,Chen Zih‐Yu¹,Hsu Sheng‐Yen⁴,Park Young‐Kwon⁵^ORCID,Juan Joon Ching⁶

Affiliation:

1. Department of Aeronautics and Astronautics National Cheng Kung University Tainan Taiwan

2. Research Center for Smart Sustainable Circular Economy, Tunghai University Taichung Taiwan

3. Department of Mechanical Engineering National Chin‐Yi University of Technology Taichung Taiwan

4. Department of Mechanical and Electro‐Mechanical Engineering National Sun Yat‐sen University Kaohsiung Taiwan

5. School of Environmental Engineering, University of Seoul Seoul Republic of Korea

6. Nanotechnology and Catalysis Research Centre (NANOCAT), University of Malaya Kuala Lumpur Malaysia

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.7543

Reference62 articles.

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3. Decarbonising energy: The developing international activity in hydrogen technologies and fuel cells

4. Role of hydrogen in improving performance and emission characteristics of homogeneous charge compression ignition engine fueled with graphite oxide nanoparticle-added microalgae biodiesel/diesel blends

5. Thermal behavior and hydrogen production of methanol steam reforming and autothermal reforming with spiral preheating

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