THE PROBLEM OF İDENTİFİCATİON OF A VACUUM DİSTİLLATİON COLUMN

Development of scientific bases of the automated control system allowing to increase economic efficiency of operation modes of vacuum block of oil refineries, which is one of the main technological processes of the fuel and energy complex, is an urgent problem of great national economic importanceIn the presented paper the main technological parameters characterizing the vacuum column have been determined. A deterministic linear mathematical model capable of adequately reflecting the current technological state of the main apparatuses of the vacuum block of the technological complex of primary oil refining is developed. The adequacy of the obtained mathematical model has been checked and confirmed.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-29
DOI
https://doi.org/10.5281/zenodo.15303151
Primary Topic
Diverse Industrial Engineering Technologies
Type
article
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article

THE PROBLEM OF İDENTİFİCATİON OF A VACUUM DİSTİLLATİON COLUMN

Zenodo (CERN European Organization for Nuclear Research)
Diverse Industrial Engineering Technologies
article

THE PROBLEM OF İDENTİFİCATİON OF A VACUUM DİSTİLLATİON COLUMN

article en

Abstract

Development of scientific bases of the automated control system allowing to increase economic efficiency of operation modes of vacuum block of oil refineries, which is one of the main technological processes of the fuel and energy complex, is an urgent problem of great national economic importanceIn the presented paper the main technological parameters characterizing the vacuum column have been determined. A deterministic linear mathematical model capable of adequately reflecting the current technological state of the main apparatuses of the vacuum block of the technological complex of primary oil refining is developed. The adequacy of the obtained mathematical model has been checked and confirmed.

Zenodo (CERN European Organization for Nuclear Research)
Azerbaijan State Oil and Industry University (AZ)
Openalex Percentile: Top 45%
Diverse Industrial Engineering Technologies
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