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Multi-Criterion Optimization of a Catalytic Reforming Reactor Unit Using a Genetic Algorithm
Catalysis in Industry ( IF 0.7 ) Pub Date : 2020-06-25 , DOI: 10.1134/s2070050420020129 R. Z. Zainullin , A. N. Zagoruiko , K. F. Koledina , I. M. Gubaidullin , R. I. Faskhutdinova
中文翻译:
基于遗传算法的催化重整装置多条件优化
更新日期:2020-06-25
Catalysis in Industry ( IF 0.7 ) Pub Date : 2020-06-25 , DOI: 10.1134/s2070050420020129 R. Z. Zainullin , A. N. Zagoruiko , K. F. Koledina , I. M. Gubaidullin , R. I. Faskhutdinova
Abstract—
Multi-criterion optimization is achieved for the performance of a reactor unit used in reforming oil fractions on the basis of a mathematical model created earlier. The model considers changes in the temperature and molar flow rate of a reaction mixture during chemical reactions, the composition of refined feedstocks, and the quality and ratio of the circulation of hydrogen-rich gas. The criteria for multi-criterion optimization are the octane number, the yield of the target product (reformate), and the combined and individual contents of aromatic hydrocarbons and benzene. Optimization is achieved by means of Pareto approximation using a genetic algorithm. The control parameters are the temperatures at the inlet to the reactors. Results from optimization show a reduction of 56 to 45 wt % in the total content of aromatic hydrocarbons, and the research octane number (RON) is lowered from 92.7 to 90.7. Three-objective optimization that ensures a 4 to 3.08 wt % reduction in the content of benzene and a 92.7 to 91.8 drop in the research octane number is also considered. The drop in the octane number is in both cases acceptable, considering the formulated requirements for the ultimate content of benzene and aromatic hydrocarbons in the reformate.中文翻译:
基于遗传算法的催化重整装置多条件优化