Genetic algorithm strategy (GA) for optimization of a novel dual-stage slurry bubble column membrane configuration for Fischer–Tropsch synthesis in gas to liquid (GTL) technology

In this work, a novel configuration of a cascade double membrane assisted slurry bubble column reactor and hydrogen-permselective membrane reactor is proposed (SDMR) for Fischer–Tropsch synthesis (FTS). A one-dimensional heterogeneous model in first reactor and axial dispersion model (AMD) for both gas and liquid–solid suspension as a homogeneous phase for slurry bubble column reactor has been developed. Subsequently, this novel configuration was optimized. Here, genetic algorithm (GA) method was applied as powerful method for optimization of procedure. The proposed model has been used to compare the performance of an SDMR with a Fluidized-bed membrane dual-type reactor (FMDR) and a conventional reactor (CR). The simulation results show an enhancement in the gasoline production, a main decrease in undesirable product formation and a favorable temperature profile along the proposed concept rather than conventional reactor and even FMDR.

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► A novel dual-stage configuration for Fischer–Tropsch synthesis is proposed.
► Genetic algorithm (GA) method is applied for optimization of procedure.
► Enhancement in the gasoline production is resulted comparing to other alternatives.