Simulating and Optimizing Auto-Thermal Reforming of Methane to Synthesis Gas Using a Non-Dominated Sorting Genetic Algorithm II Method
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Type
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Journal
Article
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Author
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M.
J. Azarhoosh
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Author
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H.
Ale Ebrahim
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URL
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Volume
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203
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Issue
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1
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Pages
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53-63
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Publication
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Chemical
Engineering Communications
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Date
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January
2, 2016
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Abstract
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Conventional
synthesis gas production plants consist of a natural gas steam reforming to
CO + 3H2 on Ni catalysts in a furnace. An alternative method for highly
endothermic steam reforming is auto-thermal reforming. Researchers simulated
synthesis gas production by auto-thermal reforming based on a heterogeneous
and one-dimensional model in two cases.
The first case was the auto-thermal reformer of Dias and Assaf's study. The work reported here was validated by the reported experimental results. The second case was the fixed-bed catalytic auto-thermal reactor operated at high pressure, which was suitable for methanol production and Fischer–Tropsch reactions (baseline case). The effect of operating variables on the system behavior was then studied. Finally, Pareto-optimal solutions were determined by non-dominated sorting genetic algorithm II. The objectives included obtaining a H2/CO ratio of 2 in the produced synthesis gas and the maximum methane conversion. |
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