Renewable hydrogen-rich syngas from CO 2 reforming of CH 4 with steam over Ni/MgAl 2O 4 and its process optimization Original Paper First Online: 03 September 2019 Abstract
In this study, carbon dioxide reforming of methane with steam was carried out over Ni/MgAl
2O 4 catalyst in a fixed bed reactor. Various characterization methods were employed, such as X-ray diffraction, nitrogen adsorption–desorption isotherm, transmission electron microscopy, and field emission scanning electron microscopy to validate the synthesis of freshly annealed catalyst. The effects of process variables, such as reaction temperature, catalyst weight, steam-to-carbon ratio, and methane-to-carbon dioxide feed ratio, were evaluated using response surface methodology through a four-factor, three-level central composite design. Quadratic regression models were chosen in this investigation to analyse the interactions between process variables towards CH 4 and CO 2 conversions, as well as hydrogen yield. The optimum values for the process variables were set by maximizing the H 2 yield and CH 4 and CO 2 conversions in the process model. In this study, the results indicated that catalyst weight was the most significant factor that determined the yield of hydrogen and the conversion of CH 4 and CO 2. The process optimization suggested the optimum process for reasonably high CH 4 conversion (96.13%), CO 2 conversion (53.77%), and high H 2 yield (53.14%) can be obtained at 697.65 °C, S/C of 2.42, CH 4/CO 2 of 1.92, and catalyst weight of 2.30 g, which was then demonstrated by reproducing the experimental results. The spent catalyst was sent for characterization to determine the graphitic carbon formation on catalyst surface. Keywords Greenhouse gas Reforming Process optimization Response surface methodology Renewable hydrogen
Editorial responsibility: Jing Chen.
This work was funded by Yayasan Sime Darby, UKM [Grant Number PKT 6/2012], and Sime Darby Research [Grant Number KK-2014-014]. The team is thankful to the Ministry of Higher Education, Malaysia, the Centre of Research Instrumentation and Management, Universiti Kebangsaan Malaysia, and the Faculty of Chemical Engineering, Universiti Teknologi MARA for the continuous technical support.
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