Research output: Contribution to journal › Article › peer-review
On Solving the Problem of Finding Kinetic Parameters of Catalytic Isomerization of the Pentane-Hexane Fraction Using a Parallel Global Search Algorithm. / Barkalov, Konstantin; Gubaydullin, Irek; Kozinov, Evgeny et al.
In: Mathematics, Vol. 10, No. 19, 3665, 10.2022.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - On Solving the Problem of Finding Kinetic Parameters of Catalytic Isomerization of the Pentane-Hexane Fraction Using a Parallel Global Search Algorithm
AU - Barkalov, Konstantin
AU - Gubaydullin, Irek
AU - Kozinov, Evgeny
AU - Lebedev, Ilya
AU - Faskhutdinova, Roza
AU - Faskhutdinov, Azamat
AU - Enikeeva, Leniza
N1 - Funding Information: This research was funded by RFBR, project No. 19-37-60014 (L.E.; mathematical model), and by the Russian Science Foundation, project No. 21-11-00204 (K.B., I.L., E.K.; parallel global optimization algorithm). Publisher Copyright: © 2022 by the authors.
PY - 2022/10
Y1 - 2022/10
N2 - This article is devoted to the problem of developing a kinetic model of a complex chemical reaction using a parallel optimization method. The design of the kinetic model consists of finding the kinetic parameters of the reaction, which cannot be calculated analytically, and since the chemical reaction involves many stages, the optimization problem is multiextremal. As a chemical reaction, the process of catalytic isomerization of the pentane-hexane fraction is considered, which is now important due to the switch of the oil refining industry to the production of gasoline corresponding to the Euro-5 standard. On the basis of known industrial data on the concentrations of reaction components and the temperature at the outlet of the third reactor, the activation energies and pre-exponential factors of each reaction stage were calculated. To solve the optimization problem, the authors developed a parallel global search algorithm and a program based on Lipschitz optimization. The kinetic parameters found made it possible to develop a mathematical model of the process, which is in good agreement with industrial data. The developed mathematical model in future works will make it possible to study the dynamics of the gas–liquid flow in the reactor unit, taking into account diffusion and heat exchange processes through the catalyst layer.
AB - This article is devoted to the problem of developing a kinetic model of a complex chemical reaction using a parallel optimization method. The design of the kinetic model consists of finding the kinetic parameters of the reaction, which cannot be calculated analytically, and since the chemical reaction involves many stages, the optimization problem is multiextremal. As a chemical reaction, the process of catalytic isomerization of the pentane-hexane fraction is considered, which is now important due to the switch of the oil refining industry to the production of gasoline corresponding to the Euro-5 standard. On the basis of known industrial data on the concentrations of reaction components and the temperature at the outlet of the third reactor, the activation energies and pre-exponential factors of each reaction stage were calculated. To solve the optimization problem, the authors developed a parallel global search algorithm and a program based on Lipschitz optimization. The kinetic parameters found made it possible to develop a mathematical model of the process, which is in good agreement with industrial data. The developed mathematical model in future works will make it possible to study the dynamics of the gas–liquid flow in the reactor unit, taking into account diffusion and heat exchange processes through the catalyst layer.
KW - black-box functions
KW - catalytic isomerisation
KW - inverse problems of chemical kinetics
KW - Lipschitz optimization
KW - mathematical modeling
KW - parallel computing
UR - http://www.scopus.com/inward/record.url?scp=85139751758&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/04629e23-483d-3b3c-80d4-88bb3ec2c9ef/
U2 - 10.3390/math10193665
DO - 10.3390/math10193665
M3 - Article
AN - SCOPUS:85139751758
VL - 10
JO - Mathematics
JF - Mathematics
SN - 2227-7390
IS - 19
M1 - 3665
ER -
ID: 38185023