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 -