Intensification of flow blending technology in the production of motor fuels by the method of mathematical modelling

Abstract

The article reports the results of intensification and prediction of the motor fuel production processes with the use of mathematical model, developed on the basis of chemical interaction of the reagents at the blending stage taking into account feedstock composition change in the processes of reforming, isomerization, alkylation, and catalytic cracking. The mathematical model makes it possible to quickly and accurately define the optimal ratio of the components, which ensure production of commercial gasoline meeting all modern fuel specifications.

Original language	English
Pages (from-to)	415-424
Number of pages	10
Journal	Chemical Engineering and Processing: Process Intensification
Volume	122
DOIs	https://doi.org/10.1016/j.cep.2017.07.015
Publication status	Published - 1 Dec 2017

Keywords

Blending
Computer system
Dipole moment
Mathematical modelling
Motor fuel production
Octane number

ASJC Scopus subject areas

Chemistry(all)
Chemical Engineering(all)
Energy Engineering and Power Technology
Process Chemistry and Technology
Industrial and Manufacturing Engineering

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10.1016/j.cep.2017.07.015

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title = "Intensification of flow blending technology in the production of motor fuels by the method of mathematical modelling",

abstract = "The article reports the results of intensification and prediction of the motor fuel production processes with the use of mathematical model, developed on the basis of chemical interaction of the reagents at the blending stage taking into account feedstock composition change in the processes of reforming, isomerization, alkylation, and catalytic cracking. The mathematical model makes it possible to quickly and accurately define the optimal ratio of the components, which ensure production of commercial gasoline meeting all modern fuel specifications.",

keywords = "Blending, Computer system, Dipole moment, Mathematical modelling, Motor fuel production, Octane number",

author = "Ivanchina, {E. D.} and Dolganov, {I. M.} and Chuzlov, {V. A.} and Belinskaya, {N. S.}",

year = "2017",

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day = "1",

doi = "10.1016/j.cep.2017.07.015",

language = "English",

volume = "122",

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journal = "Chemical Engineering and Processing - Process Intensification",

issn = "0255-2701",

publisher = "Elsevier",

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AU - Ivanchina, E. D.

AU - Dolganov, I. M.

AU - Chuzlov, V. A.

AU - Belinskaya, N. S.

PY - 2017/12/1

Y1 - 2017/12/1

N2 - The article reports the results of intensification and prediction of the motor fuel production processes with the use of mathematical model, developed on the basis of chemical interaction of the reagents at the blending stage taking into account feedstock composition change in the processes of reforming, isomerization, alkylation, and catalytic cracking. The mathematical model makes it possible to quickly and accurately define the optimal ratio of the components, which ensure production of commercial gasoline meeting all modern fuel specifications.

AB - The article reports the results of intensification and prediction of the motor fuel production processes with the use of mathematical model, developed on the basis of chemical interaction of the reagents at the blending stage taking into account feedstock composition change in the processes of reforming, isomerization, alkylation, and catalytic cracking. The mathematical model makes it possible to quickly and accurately define the optimal ratio of the components, which ensure production of commercial gasoline meeting all modern fuel specifications.

KW - Blending

KW - Computer system

KW - Dipole moment

KW - Mathematical modelling

KW - Motor fuel production

KW - Octane number

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