Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses

Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses

The catalytic dry reforming (DR) process is a clean approach to transform CO2 into H2 and CO-rich synthetic gas that can be used for various energy applications such as Fischer–Tropsch fuels production. A novel framework is proposed to determine the optimum reaction configurations and reaction pathw...

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Bibliographic Details
Main Authors: Lim, Juin Yau Lim, Loy, Adrian Chun Minh, Alhazmi, Hatem, Chin, Bridgid, Cheah, Kin Wai, Taylor, Martin J, Kyriakou, Georgios, Yoo, Chang Kyoo
Format: Journal Article
Published: Wiley-Blackwell 2021
Online Access:http://hdl.handle.net/20.500.11937/86958

Internet

http://hdl.handle.net/20.500.11937/86958

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