Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Mathematical Modeling the H2SO4-Catalyzed Alkylation of Isobutane with Olefins. / Shvareva, Elena; Enikeeva, Leniza; Agzamova, Milyausha.
Networked Control Systems for Connected and Automated Vehicles - Volume 1. ред. / Alexander Guda. Springer Science and Business Media Deutschland GmbH, 2023. стр. 579-585 57 (Lecture Notes in Networks and Systems; Том 509).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Mathematical Modeling the H2SO4-Catalyzed Alkylation of Isobutane with Olefins
AU - Shvareva, Elena
AU - Enikeeva, Leniza
AU - Agzamova, Milyausha
N1 - Funding Information: The reported study was funded by RFBR under the project numbers 19-37-60014 “Perspectiva”. Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The purpose of this work is to develop a mathematical model of sulfuric acid alkylation of isobutane by olefins, taking into account the physical and chemical laws of the process. Due to the increased environmental requirements for fuel, the relevance of sulfuric acid alkylation of isobutane with olefins, as it allows us to achieve good results in this matter. Significant features of the technology that need to be taken into account when modeling are identified. The main schemes of transformations of sulfuric acid alkylation of isobutane by olefins are considered. The probability of all reactions is estimated from the Gibbs energy value. The model is a system of ordinary nonlinear differential equations. The direct problem was solved by Radau IIA method. During the simulation, heuristic optimization methods were used, the Electromagnetism like Algorithm and the Harmony Search algorithm were considered to minimize the deviation of experimental data from theoretical ones. The rate constants of the reaction under consideration are found. The foundations for further modeling of the entire chemical-technological process are laid.
AB - The purpose of this work is to develop a mathematical model of sulfuric acid alkylation of isobutane by olefins, taking into account the physical and chemical laws of the process. Due to the increased environmental requirements for fuel, the relevance of sulfuric acid alkylation of isobutane with olefins, as it allows us to achieve good results in this matter. Significant features of the technology that need to be taken into account when modeling are identified. The main schemes of transformations of sulfuric acid alkylation of isobutane by olefins are considered. The probability of all reactions is estimated from the Gibbs energy value. The model is a system of ordinary nonlinear differential equations. The direct problem was solved by Radau IIA method. During the simulation, heuristic optimization methods were used, the Electromagnetism like Algorithm and the Harmony Search algorithm were considered to minimize the deviation of experimental data from theoretical ones. The rate constants of the reaction under consideration are found. The foundations for further modeling of the entire chemical-technological process are laid.
KW - Alkylation
KW - Chemical kinetics
KW - Electromagnetism-like Algorithm
KW - Harmony Search Algorithm
KW - Mathematical model
UR - http://www.scopus.com/inward/record.url?scp=85142740109&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/6718b70c-ed2d-3e8d-8a19-f5fd25e576c0/
U2 - 10.1007/978-3-031-11058-0_57
DO - 10.1007/978-3-031-11058-0_57
M3 - Conference contribution
AN - SCOPUS:85142740109
SN - 9783031110573
T3 - Lecture Notes in Networks and Systems
SP - 579
EP - 585
BT - Networked Control Systems for Connected and Automated Vehicles - Volume 1
A2 - Guda, Alexander
PB - Springer Science and Business Media Deutschland GmbH
T2 - International School on Neural Networks, NN 2022
Y2 - 8 February 2022 through 10 February 2022
ER -
ID: 39997272