Research output: Contribution to journal › Article › peer-review
Gravitational search algorithm for determining the optimal kinetic parameters of propane pre-reforming reaction. / Enikeeva, L. V.; Potemkin, D. I.; Uskov, S. I. et al.
In: Reaction Kinetics, Mechanisms and Catalysis, Vol. 132, No. 1, 02.2021, p. 111-122.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Gravitational search algorithm for determining the optimal kinetic parameters of propane pre-reforming reaction
AU - Enikeeva, L. V.
AU - Potemkin, D. I.
AU - Uskov, S. I.
AU - Snytnikov, P. V.
AU - Enikeev, M. R.
AU - Gubaydullin, I. M.
N1 - Funding Information: The reported study on optimization algorithms was funded by RFBR under the Project Numbers 19-37-60014 “Perspectiva” (Enikeeva L.V.). Experimental data were obtained with the support of the RFBR Project 19-33-60008 “Perspectiva” (Potemkin D.I.). Publisher Copyright: © 2021, Akadémiai Kiadó, Budapest, Hungary. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/2
Y1 - 2021/2
N2 - The article describes the gravitational search algorithm and its application to solve the inverse problem of chemical kinetics. It is shown that metaheuristic algorithms have become more and more popular recently. In this regard, it is logical to apply these algorithms to various optimization problems. The optimization problem is formulated on the example of solving the inverse problem of chemical kinetics. The process under study is the pre-reformation of propane into a methane-rich gas on a Ni catalyst, which is an industrially important chemical process. The article briefly describes the algorithm and its pseudocode, and then compares the performance of the gravitational search algorithm with other metaheuristic methods. The algorithm showed adequate results and was applied to solve a specific technological problem. Using this algorithm, the inverse problem of chemical kinetics was solved and the optimal values of the kinetic parameters of the reaction were found. It was proved that the model correctly described the available experimental data. Moreover, the sensitivity analysis of the algorithm parameters was performed.
AB - The article describes the gravitational search algorithm and its application to solve the inverse problem of chemical kinetics. It is shown that metaheuristic algorithms have become more and more popular recently. In this regard, it is logical to apply these algorithms to various optimization problems. The optimization problem is formulated on the example of solving the inverse problem of chemical kinetics. The process under study is the pre-reformation of propane into a methane-rich gas on a Ni catalyst, which is an industrially important chemical process. The article briefly describes the algorithm and its pseudocode, and then compares the performance of the gravitational search algorithm with other metaheuristic methods. The algorithm showed adequate results and was applied to solve a specific technological problem. Using this algorithm, the inverse problem of chemical kinetics was solved and the optimal values of the kinetic parameters of the reaction were found. It was proved that the model correctly described the available experimental data. Moreover, the sensitivity analysis of the algorithm parameters was performed.
KW - Gravitational search algorithm
KW - Inverse problem of chemical kinetics
KW - Mathematical modeling
KW - Propane pre-reforming
UR - http://www.scopus.com/inward/record.url?scp=85100218471&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/75c30d67-5cc3-3784-84ed-9b644df87c62/
U2 - 10.1007/s11144-021-01927-8
DO - 10.1007/s11144-021-01927-8
M3 - Article
AN - SCOPUS:85100218471
VL - 132
SP - 111
EP - 122
JO - Reaction Kinetics, Mechanisms and Catalysis
JF - Reaction Kinetics, Mechanisms and Catalysis
SN - 1878-5190
IS - 1
ER -
ID: 27644815