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Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm. / Gubaydullin, Irek; Enikeeva, Leniza; Barkalov, Konstantin et al.

Parallel Computational Technologies - 16th International Conference, PCT 2022, Revised Selected Papers. ed. / Leonid Sokolinsky; Mikhail Zymbler. Springer Science and Business Media Deutschland GmbH, 2022. p. 293-306 20 (Communications in Computer and Information Science; Vol. 1618 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Gubaydullin, I, Enikeeva, L, Barkalov, K, Lebedev, I & Silenko, D 2022, Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm. in L Sokolinsky & M Zymbler (eds), Parallel Computational Technologies - 16th International Conference, PCT 2022, Revised Selected Papers., 20, Communications in Computer and Information Science, vol. 1618 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 293-306, 16th International Conference on Parallel Computational Technologies, PCT 2022, Dubna, Russian Federation, 29.03.2022. https://doi.org/10.1007/978-3-031-11623-0_20

APA

Gubaydullin, I., Enikeeva, L., Barkalov, K., Lebedev, I., & Silenko, D. (2022). Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm. In L. Sokolinsky, & M. Zymbler (Eds.), Parallel Computational Technologies - 16th International Conference, PCT 2022, Revised Selected Papers (pp. 293-306). [20] (Communications in Computer and Information Science; Vol. 1618 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11623-0_20

Vancouver

Gubaydullin I, Enikeeva L, Barkalov K, Lebedev I, Silenko D. Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm. In Sokolinsky L, Zymbler M, editors, Parallel Computational Technologies - 16th International Conference, PCT 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 293-306. 20. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-11623-0_20

Author

Gubaydullin, Irek ; Enikeeva, Leniza ; Barkalov, Konstantin et al. / Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm. Parallel Computational Technologies - 16th International Conference, PCT 2022, Revised Selected Papers. editor / Leonid Sokolinsky ; Mikhail Zymbler. Springer Science and Business Media Deutschland GmbH, 2022. pp. 293-306 (Communications in Computer and Information Science).

BibTeX

@inproceedings{39ad4f717ef64908b3cbc0c5b90862de,
title = "Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm",
abstract = "The paper considers the application of parallel computing technology to the simulation of a catalytic chemical reaction, which is widely used in the modern automobile industry to produce gasoline with a high octane number. As a chemical reaction, the process of alkylation of isobutane with mixed C4 olefins, catalyzed by sulfuric acid, is assumed. To simulate a chemical process, it is necessary to develop a kinetic model of the process, i.e., to determine the kinetic parameters. To do this, the inverse problem of chemical kinetics is solved; it predicts the values of the kinetic parameters based on laboratory data. From a mathematical point of view, the inverse problem of chemical kinetics is a global optimization problem. A parallel asynchronous information-statistical global search algorithm was used to solve it. The use of the asynchronous algorithm significantly reduced the search time to find the optimum. The found optimal parameters of the model made it possible to adequately simulate the process of alkylation of isobutane with mixed C4 olefins catalyzed by sulfuric acid.",
keywords = "Chemical kinetics, Global optimization, Inverse problems, Multi-extremal functions, Parallel computing",
author = "Irek Gubaydullin and Leniza Enikeeva and Konstantin Barkalov and Ilya Lebedev and Dmitry Silenko",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 16th International Conference on Parallel Computational Technologies, PCT 2022 ; Conference date: 29-03-2022 Through 31-03-2022",
year = "2022",
doi = "10.1007/978-3-031-11623-0_20",
language = "English",
isbn = "9783031116223",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "293--306",
editor = "Leonid Sokolinsky and Mikhail Zymbler",
booktitle = "Parallel Computational Technologies - 16th International Conference, PCT 2022, Revised Selected Papers",
address = "Germany",

}

RIS

TY - GEN

T1 - Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm

AU - Gubaydullin, Irek

AU - Enikeeva, Leniza

AU - Barkalov, Konstantin

AU - Lebedev, Ilya

AU - Silenko, Dmitry

N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - The paper considers the application of parallel computing technology to the simulation of a catalytic chemical reaction, which is widely used in the modern automobile industry to produce gasoline with a high octane number. As a chemical reaction, the process of alkylation of isobutane with mixed C4 olefins, catalyzed by sulfuric acid, is assumed. To simulate a chemical process, it is necessary to develop a kinetic model of the process, i.e., to determine the kinetic parameters. To do this, the inverse problem of chemical kinetics is solved; it predicts the values of the kinetic parameters based on laboratory data. From a mathematical point of view, the inverse problem of chemical kinetics is a global optimization problem. A parallel asynchronous information-statistical global search algorithm was used to solve it. The use of the asynchronous algorithm significantly reduced the search time to find the optimum. The found optimal parameters of the model made it possible to adequately simulate the process of alkylation of isobutane with mixed C4 olefins catalyzed by sulfuric acid.

AB - The paper considers the application of parallel computing technology to the simulation of a catalytic chemical reaction, which is widely used in the modern automobile industry to produce gasoline with a high octane number. As a chemical reaction, the process of alkylation of isobutane with mixed C4 olefins, catalyzed by sulfuric acid, is assumed. To simulate a chemical process, it is necessary to develop a kinetic model of the process, i.e., to determine the kinetic parameters. To do this, the inverse problem of chemical kinetics is solved; it predicts the values of the kinetic parameters based on laboratory data. From a mathematical point of view, the inverse problem of chemical kinetics is a global optimization problem. A parallel asynchronous information-statistical global search algorithm was used to solve it. The use of the asynchronous algorithm significantly reduced the search time to find the optimum. The found optimal parameters of the model made it possible to adequately simulate the process of alkylation of isobutane with mixed C4 olefins catalyzed by sulfuric acid.

KW - Chemical kinetics

KW - Global optimization

KW - Inverse problems

KW - Multi-extremal functions

KW - Parallel computing

UR - http://www.scopus.com/inward/record.url?scp=85135086814&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/4e2264f2-9a9f-303e-afdb-13c1e5c090c2/

U2 - 10.1007/978-3-031-11623-0_20

DO - 10.1007/978-3-031-11623-0_20

M3 - Conference contribution

AN - SCOPUS:85135086814

SN - 9783031116223

T3 - Communications in Computer and Information Science

SP - 293

EP - 306

BT - Parallel Computational Technologies - 16th International Conference, PCT 2022, Revised Selected Papers

A2 - Sokolinsky, Leonid

A2 - Zymbler, Mikhail

PB - Springer Science and Business Media Deutschland GmbH

T2 - 16th International Conference on Parallel Computational Technologies, PCT 2022

Y2 - 29 March 2022 through 31 March 2022

ER -

ID: 36728412