Inter-relationship between preparation methods,nickel loading,characteristics and performance in the reforming of crude ethanol over Ni/Al2O3 catalysts: A neural network approach |
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| Affiliation: | 1. Faculty of Engineering, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada;2. Faculty of Engineering, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada;3. Faculty of Engineering, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada;1. Departamento de Ingeniería Química, Universidad del País Vasco UPV/EHU, Apartado 644, 48080 Bilbao, Spain;2. Departamento de Ingeniería Química y Medio Ambiente, Universidad del País Vasco UPV/EHU, Paseo Rafael Moreno “Pitxitxi” 3, 48013 Bilbao, Spain;1. Department of Marine Engineering, Taipei College of Maritime Technology, Taipei, Taiwan, ROC;2. Department of System and Naval Mechatronic Engineering, National Cheng Kung University, Tainan, 701, Taiwan, ROC;3. Department of Power Vehicle and Systems Engineering, Chung Cheng Institute of Technology, National Defense University, Taiwan, ROC;1. Division of Engineering Science, University of Toronto, Toronto, Ontario, M5S 1A4, Canada;2. Green Energy and Environmental Laboratories, Industrial Technology Research Institute, Hsinchu, 310, Taiwan;3. Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 701, Taiwan |
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| Abstract: | Artificial neural network (ANN) approach was used to design an optimum Ni/Al2O3 catalyst for the production of hydrogen by the catalytic reforming of crude ethanol based on determining the inter-relationships between catalyst-preparation methods, nickel loading, catalyst characteristics and catalyst performance. ANN could predict hydrogen production performance of various Ni/Al2O3 catalysts of various elemental compositions and methods of preparation in the production of hydrogen by the catalytic reforming of crude ethanol in terms of crude-ethanol conversion, hydrogen selectivity and hydrogen yield. Specifically on catalyst design, ANN was used to determine the optimum catalyst conditions for obtaining maximum hydrogen production performance of a Ni/Al2O3 catalyst for the production of hydrogen by the catalytic reforming of crude ethanol. The optimal hydrogen yield was 4.4 mol %, and the associated crude-ethanol conversion and H2 selectivity for the optimal hydrogen yield were 79.6 and 91.4 mol%, respectively. The optimal catalyst was the one prepared by the coprecipitation method with the optimal nickel loading of 12.4 wt% and an optimal aluminum composition of 42.5 wt%. |
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