ANALYTICAL METHOD FOR CALCULATING THE OCTANE NUMBER OF HYDROCARBON MIXTURES TAKING INTO ACCOUNT THE NON-ADDITIVITY OF COMPONENTS' PROPERTIES
Rubrics: 2. CHEMICAL TECHNOLOGY
Authors:
1.
Kazan National Research Technological University
(Kafedra «Inzhenernoy komp'yuternoy grafiki i avtomatizirovannogo proektirovaniya»)
from 01.01.2023 until now
Kazan National Research Technological University
from 01.01.2023 until now
from 01.01.2023 until now
Kazan National Research Technological University
from 01.01.2023 until now
2.
Kazan National Research Technological University
Type:
Article
Pages:
from 73
to 78
Status:
Published
Received:
25.12.2025
Accepted:
25.12.2025
Published:
25.12.2025
Language:
Russian
Keywords:
BLENDING OCTANE NUMBER, HYDROCARBONS, MIXTURE, ADDITIVITY, INTERMOLECULAR INTERACTION, DIPOLE MOMENT
Abstract (English):
The developed mathematical model for real-time determination of octane number of isomerizate (product of the isomerization unit - a mixture of isomeric hydrocarbons) is an important step in improving quality control processes at TANECO JSC. In the current conditions, when technologies are becoming more and more complex and product quality requirements are becoming stricter, there is a need for more accurate and reliable methods of analysis. Currently, virtual analyzers based on regression equations are used to monitor the octane number of automotive gasoline and its components. However, despite the existing technologies, the accuracy and efficiency of such analyzers leave much to be desired due to the nonlinear dependence of octane number on technological parameters, as well as the non-additivity of the properties of hydrocarbon mixtures. To solve these problems a new mathematical model was proposed. It is based on the non-additivity associated with intermolecular interactions of molecules, which can be quantitatively characterized by the dipole moment. This approach can significantly improve the accuracy of octane number calculations because it takes into account the complex interactions between the components that make up the isomerizate. The algorithm that has been developed within the framework of this model not only allows calculating octane number with high accuracy, but can be easily integrated into existing production processes at TANECO JSC. This opens up new opportunities for real-time operational monitoring of fuel quality, which, in turn, contributes to increasing the efficiency of production processes and improving the quality of the final product. Implementation of this model into the practical activity of the enterprise promises to become a significant step forward in the field of hydrocarbon feedstock quality control.
The developed mathematical model for real-time determination of octane number of isomerizate (product of the isomerization unit - a mixture of isomeric hydrocarbons) is an important step in improving quality control processes at TANECO JSC. In the current conditions, when technologies are becoming more and more complex and product quality requirements are becoming stricter, there is a need for more accurate and reliable methods of analysis. Currently, virtual analyzers based on regression equations are used to monitor the octane number of automotive gasoline and its components. However, despite the existing technologies, the accuracy and efficiency of such analyzers leave much to be desired due to the nonlinear dependence of octane number on technological parameters, as well as the non-additivity of the properties of hydrocarbon mixtures. To solve these problems a new mathematical model was proposed. It is based on the non-additivity associated with intermolecular interactions of molecules, which can be quantitatively characterized by the dipole moment. This approach can significantly improve the accuracy of octane number calculations because it takes into account the complex interactions between the components that make up the isomerizate. The algorithm that has been developed within the framework of this model not only allows calculating octane number with high accuracy, but can be easily integrated into existing production processes at TANECO JSC. This opens up new opportunities for real-time operational monitoring of fuel quality, which, in turn, contributes to increasing the efficiency of production processes and improving the quality of the final product. Implementation of this model into the practical activity of the enterprise promises to become a significant step forward in the field of hydrocarbon feedstock quality control.
Keywords:
BLENDING OCTANE NUMBER, HYDROCARBONS, MIXTURE, ADDITIVITY, INTERMOLECULAR INTERACTION, DIPOLE MOMENT
BLENDING OCTANE NUMBER, HYDROCARBONS, MIXTURE, ADDITIVITY, INTERMOLECULAR INTERACTION, DIPOLE MOMENT
