Optimization of operating conditions of the Fischer–Tropsch synthesis based on multi-objective differential evolution algorithm

A study on the Fischer–Tropsch synthesis was investigated employing a one-dimensional non-isothermal model in a fixed-bed reactor over a Co/Al 2 O 3 catalyst. The reaction kinetic follows a semi-empirical approach. Under multiple operating conditions and compared to experimental results, the present...

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Vydáno v:Journal of the Brazilian Society of Mechanical Sciences and Engineering Ročník 44; číslo 10
Hlavní autoři: Leite, Vinícius Reisdorfer, Fontana, Éliton, Mariani, Viviana Cocco
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2022
Springer Nature B.V
Témata:
Aluminum oxide
Carbon monoxide
Engineering
Evolutionary algorithms
Evolutionary computation
Fischer-Tropsch process
Mechanical Engineering
Methane
Optimization
Reaction kinetics
Selectivity
Technical Paper
Differential evolution
Mathematical modeling
Fixed-bed reactor
Optimization
Fischer–Tropsch synthesis
ISSN:1678-5878, 1806-3691
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Shrnutí:A study on the Fischer–Tropsch synthesis was investigated employing a one-dimensional non-isothermal model in a fixed-bed reactor over a Co/Al 2 O 3 catalyst. The reaction kinetic follows a semi-empirical approach. Under multiple operating conditions and compared to experimental results, the presented model appropriately describes the product distribution. Afterward, optimizations using single- and multi-objective differential evolution (DE) algorithms were conducted. The minimum CH 4 selectivity and maximum CO conversion were obtained, through the single-objective DE optimization. The results indicate that the improvement of one objective is only reached by making reductions to the other objective, i.e., a trade-off between objectives. The optimal operating conditions employing the multi-objective algorithm found GHSV = 4002.17 Nml g cat - 1 h - 1 , H 2 / CO = 2.7, T  = 501.63 K, P  = 22.7 bar, and no inert content (%N 2  = 0). Conditions that yielded optimized CO conversion and CH 4 selectivity, respectively, of 60.21 and 6.65%.
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ISSN:1678-5878
1806-3691
DOI:10.1007/s40430-022-03785-4