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Multi-objective optimization of industrial membrane SMR to produce syngas for Fischer-Tropsch production using NSGA-II and decision makings

Shahhosseini, H. R ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. DOI: 10.1016/j.jngse.2016.04.005
  3. Publisher: Elsevier , 2016
  4. Abstract:
  5. Membrane reactors are an advanced technology with vast application capacities for equilibrium limited endothermic reactions. The main propose of this study is to offer an optimized packed-bed membrane steam methane reforming (SMR) tubular reactor for sustainable CH4 conversion by implementing triple-objective optimization model based on optimum H2/CO ratio for low temperature Fischer-Tropsch (F-T) process. In this study a one dimensional pseudo-homogeneous model based on mass, energy, and momentum conservation laws is used to simulate the behavior of a packed-bed membrane reactor for production of syngas by SMR. In the optimization section, the proposed work explores optimal values of various decision variables that simultaneously maximize CH4 conversion, H2 selectivity, and CO selectivity by applying elitist non-dominated sorting genetic algorithm (NSGA-II). Pareto optimal frontier between triple objectives is obtained in three spaces and best optimal value is selected by using LINMAP, TOPSIS, Shannon's entropy and Fuzzy Bellman-Zadeh decision making methods. The final optimal solutions illustrate that the membrane reactor presents higher CH4 conversion which can be operated under milder conditions than the conventional reactor. © 2016 Elsevier B.V
  6. Keywords:
  7. Decision making methods ; Evolutionary algorithm ; Membrane steam methane reforming ; Multi-objective optimization ; Pareto frontier ; Reactor modeling ; Bioreactors ; Decision making ; Evolutionary algorithms ; Genetic algorithms ; Membranes ; Methane ; Optimal systems ; Optimization ; Packed beds ; Pareto principle ; Small nuclear reactors ; Steam reforming ; Synthesis gas ; Temperature ; Decision-making method ; Elitist non-dominated sorting genetic algorithms ; Momentum conservation law ; Packed-bed membrane reactors ; Pareto frontiers ; Pareto-optimal frontiers ; Pseudo-homogeneous modeling ; Multiobjective optimization
  8. Source: Journal of Natural Gas Science and Engineering ; Volume 32 , 2016 , Pages 222-238 ; 18755100 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S1875510016302281