Elucidating the non-linear effect of process parameters on hydrogen production by catalytic methane reforming: An artificial intelligence approach

• Main Authors: Alsaffar M.A., Mageed A.K., Abdel Ghany M.A.R., Ayodele B.V., Mustapa S.I.
• Other Authors: 57210601717
• Format: Conference Paper
• Published: IOP Publishing Ltd 2023

This study focuses on the non-linear effect of gas hourly space velocity (GHSV), oxygen (O2) concentration in the feed, the reaction temperature, and the CH4/CO2 ratio on hydrogen production by catalytic methane dry reforming using artificial neural networks (ANN). Ten different ANN models were conf...