Analysis of the Distillation Column of a Catalytic Cracking Unit Using Fuzzy Input Information

Dinara Kozhakhmetova, Samal Kaliyeva, Laura Sugurova, Zharkynay Sugur, Ryszard Wójtowicz () and Tursynkhan Zhylkybayev
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Dinara Kozhakhmetova: Department of Automation Information Technology and Urban Planning, Shakarim University, Glinka 20 A, Semey 071412, Kazakhstan
Samal Kaliyeva: Department of Radio Engineering, Electronics and Telecommunications, L.N. Gumilov Eurasian National University, Astana 010000, Kazakhstan
Laura Sugurova: Department of Automation and Telecommunications, M.Kh.Dulaty Taraz Regional University, Suleymenov 7, Taraz 080000, Kazakhstan
Zharkynay Sugur: Department of Radio Engineering, Electronics and Telecommunications, L.N. Gumilov Eurasian National University, Astana 010000, Kazakhstan
Ryszard Wójtowicz: Department of Thermal and Process Engineering, Division of Industrial Equipment and Fluid Mechanics, Cracow University of Technology, Al. Jana Pawła II 37, 31-864 Cracow, Poland
Tursynkhan Zhylkybayev: Department of Automation Information Technology and Urban Planning, Shakarim University, Glinka 20 A, Semey 071412, Kazakhstan

Energies, 2024, vol. 17, issue 17, 1-14

Abstract: The aim of this work is to analyze and model the performance of the distillation column of a catalytic cracking plant using fuzzy initial information. A system of mathematical models of the studied columns was developed, and we discussed the issues of modeling the distillation column of a catalytic cracking plant operating in conditions of fuzzy initial information. The system of mathematical models of the studied columns was developed on the basis of statistical and fuzzy information. The mathematical models of columns K-1, K-2 and K-3 were identified with regression and fuzzy regression equations, i.e., combined models of the main columns of the catalytic cracking plant were constructed. The purpose of this study was to create an optimal control system for the distillation column of a catalytic cracking unit using a mathematical model of the process. The results obtained in this work can be helpful during the design, modernization and optimization of equipment and installations, especially those used in the chemical and petrochemical industries. They can be useful both from a scientific and practical point of view, and they are also significant in terms of environmental protection, economy and mechanical engineering.

Keywords: fuzzy logic; catalytic cracking; fractionation column; distillation column mechanical design; decision making; industrial equipment and systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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