MODELING AND OPTIMIZATION OF OPERATING MODES OF OIL HEATING TUBE FURNACES
Orazbayeva K.N. Moldasheva Z.Zh. Orazbayev B.B. Ospanov Y.A. Iskakova S.Sh.
2022National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2022#2022Issue 5156 - 175 pp.
Mathematical modeling and optimization of parameters and operating modes of production facilities is the most effective and promising direction for solving many production problems. Mathematical model, multicriteria optimization, fuzzy information, (DM)-decision maker, heuristic algorithm, oil heating furnace. But, with the development of technology and an increase in the number of complex, mathematically difficult to formalize, described indistinctly and by the vector of criteria for technological objects of oil refining and other industries, the processes of developing their mathematical models and optimizing their operating modes become more complicated. In this regard, at present, the study and solution of the problems of developing mathematical models and multicriteria optimization problems characterized by the fuzziness of technological objects of oil, for example, oil heating furnaces, and other enterprises is a very urgent task of science and practice. In this paper, to develop models and optimize the operating modes of fuzzy oil heating furnaces, experimental-statistical methods and methods of expert assessments and fuzzy set theories are used, which make it possible to use the available information of a statistical and fuzzy nature. The hypothesis is accepted that there are sources of reliable fuzzy information, i.e. experts on the object of study, which is confirmed in the practice of collecting and processing expert fuzzy information about the operation of oil heating furnaces of the Atyrau Oil Refinery and the oil heating station. Based on expert evaluation methods and fuzzy set theories, an algorithm for developing fuzzy models is proposed, with the help of which a fuzzy model of the investigated oil heating furnace is synthesized, fuzzy estimating its performance. To optimize the operating modes of the oil heating furnace based on the developed models, modifying the principles of Absolute concession and Pareto optimality for operation in a fuzzy environment, a heuristic algorithm for solving the problem of multicriteria optimization with fuzzy constraints was developed. The proposed algorithms for model development and multicriteria optimization in a fuzzy environment can be used in practice for modeling and optimizing the operation modes of complex, quantitatively difficult to describe objects of various industries.
(DM)-decision maker , fuzzy information , heuristic algorithm , Mathematical model , multicriteria optimization , oil heating furnace
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Esil University, Astana, Kazakhstan
L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
University Shakarim, Semey, Kazakhstan
Atyrau Oil and Gas University, Atyrau, Kazakhstan
Esil University
L.N. Gumilyov Eurasian National University
University Shakarim
Atyrau Oil and Gas University
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