Modelling and Optimization of Syngas Production from Methane Dry Reforming Over Ceria-Supported Cobalt Catalyst Using Artificial Neural Networks and Box–Behnken Design

• Main Authors: Ayodele, Bamidele V., Cheng, C. K.
• Format: Article
• Published: Elsevier 2015
• Subjects: TP Chemical technology
• Online Access: http://umpir.ump.edu.my/id/eprint/11581/; http://dx.doi.org/10.1016/j.jiec.2015.08.021
• Institution: Universiti Malaysia Pahang

In the present study, synthesis gas was produced from dry reforming of methane over ceria supported cobalt catalyst in a fixed bed stainless steel reactor. Artificial neural network (ANN) and Box Behnken design (BBD) were employed to investigate the effects of reactant partial pressures, reactant fe...