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- W2770843231 abstract "Abstract Steam reforming of methane (SRM) is an important stage of hydrogen production. Using a membrane reactor (MR) to separate the produced H 2 positively affects CH 4 conversion by shifting the equilibrium. This H 2 removal increases the risk of coke formation in the process. In this study, the influence of different parameters such as Damkohler’s number (Da) and permeation number (θ) on CH 4 conversion and H 2 recovery are investigated. In order to find the optimum condition for this MR in which CH 4 conversion, H 2 Recovery are maximized and the risk of coke formation is minimized, the elitist non-dominated sorting genetic algorithm (NSGA-II) is employed to achieve the Pareto front in a three objective space. The single optimal solution is selected from Pareto front by TOPSIS decision making method. In the optimized condition methane conversion and hydrogen recovery are improved about 19.8% an 6.8%, respectively. Also, the risk of coke formation in the MR is reduced." @default.
- W2770843231 created "2017-12-04" @default.
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- W2770843231 date "2017-11-21" @default.
- W2770843231 modified "2023-09-23" @default.
- W2770843231 title "Multi Objective Optimization of a Methane Steam Reforming Reaction in a Membrane Reactor: Considering the Potential Catalyst Deactivation due to the Hydrogen Removal" @default.
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- W2770843231 doi "https://doi.org/10.1515/ijcre-2017-0066" @default.
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