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Optimization of hydrogen production from steam reforming of biomass tar over Ni/dolomite/La2O3 catalysts
Affiliation:1. Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, China University of Mining & Technology, Xuzhou 221008, Jiangsu, China;2. Division of Environmental Engineering Science, Gunma University, 1-5-1 Tenjin-cho, Kiryu 376-8515, Japan;1. Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;2. The State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Membrane Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Abstract:Industrially, the endothermic process of steam reforming is carried out at the lowest temperature, steam to carbon (S/C) ratio, and gas hourly space velocity (GHSV) for maximum hydrogen (H2) production. In this study, a three-level three factorial Box-Behnken Design (BBD) of Response Surface Methodology (RSM) was applied to investigate the optimization of H2 production from steam reforming of gasified biomass tar over Ni/dolomite/La2O3 (NiDLa) catalysts. Consequently, reduced quadratic regression models were developed to fit the experimental data adequately. The effects of the independent variables (temperature, S/C ratio, and GHSV) on the responses (carbon conversion to gas and H2 yield) were examined. The results indicated that reaction temperature was the most significant factor affecting both responses. Ultimately, the optimum conditions predicted by RSM were 775 °C, S/C molar ratio of 1.02, and GHSV of 14,648 h−1, resulting in 99 mol% of carbon conversion to gas and 82 mol% of H2 yield.
Keywords:Optimization  Hydrogen  Biomass tar  Steam reforming  Response surface methodology
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