Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses
(2021)
Journal Article
Lim, J. Y., Loy, A. C. M., Alhazmi, H., Fui, B. C. L., Cheah, K. W., Taylor, M. J., Kyriakou, G., & Yoo, C. K. (in press). Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses. International journal of energy research, https://doi.org/10.1002/er.7565
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... Read More about Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses.