Multi-Criterion Optimization of a Catalytic Reforming Reactor Unit Using a Genetic Algorithm Full article
| Journal |
Catalysis in Industry
ISSN: 2070-0504 , E-ISSN: 2070-0555 |
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| Output data | Year: 2020, Volume: 12, Number: 2, Pages: 133-140 Pages count : 8 DOI: 10.1134/S2070050420020129 | ||||||
| Tags | catalytic reforming, reactor unit, multi-criterion optimization, genetic algorithm, temperature regime, ratio of catalyst distribution | ||||||
| Authors |
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| Affiliations |
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Funding (4)
| 1 | Russian Foundation for Basic Research | 19-37-50021 |
| 2 | Russian Foundation for Basic Research | 18-07-00341 (АААА-А18-118013090021-6) |
| 3 | Russian Science Foundation | 19-71-00006 |
| 4 | Federal Agency for Scientific Organizations | 0303-2016-0017 |
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.
Cite:
Zainullin R.Z.
, Zagoruiko A.N.
, Koledina K.F.
, Gubaidullin I.M.
, Faskhutdinova R.I.
Multi-Criterion Optimization of a Catalytic Reforming Reactor Unit Using a Genetic Algorithm
Catalysis in Industry. 2020. V.12. N2. P.133-140. DOI: 10.1134/S2070050420020129 WOS Scopus РИНЦ OpenAlex
Multi-Criterion Optimization of a Catalytic Reforming Reactor Unit Using a Genetic Algorithm
Catalysis in Industry. 2020. V.12. N2. P.133-140. DOI: 10.1134/S2070050420020129 WOS Scopus РИНЦ OpenAlex
Original:
Зайнуллин Р.З.
, Загоруйко А.Н.
, Коледина К.Ф.
, Губайдуллин И.М.
, Фасхутдинова Р.И.
Многокритериальная оптимизация реакторного блока каталитического риформинга с использованием генетического алгоритма
Катализ в промышленности. 2019. Т.19. №6. С.465-473. DOI: 10.18412/1816-0387-2019-6-465-473RSCI РИНЦ AN OpenAlex
Многокритериальная оптимизация реакторного блока каталитического риформинга с использованием генетического алгоритма
Катализ в промышленности. 2019. Т.19. №6. С.465-473. DOI: 10.18412/1816-0387-2019-6-465-473RSCI РИНЦ AN OpenAlex
Dates:
| Submitted: | Sep 9, 2019 |
| Accepted: | Oct 23, 2019 |
| Published print: | Apr 1, 2020 |
| Published online: | Jun 25, 2020 |
Identifiers:
| Web of science: | WOS:000543047100007 |
| Scopus: | 2-s2.0-85087076292 |
| Elibrary: | 43296058 |
| OpenAlex: | W2985953963 |