The System of Models and Optimization of Operating Modes of a Catalytic Reforming Unit Using Initial Fuzzy Information†
Orazbayev B. Zhumadillayeva A. Orazbayeva K. Iskakova S. Utenova B. Gazizov F. Ilyashenko S. Afanaseva O.
February-2 2022MDPI
Energies
2022#15Issue 4
The study aims to develop a system of models and a method for optimizing the operating modes of a catalytic reforming unit using fuzzy information, which makes it possible to effectively control the reforming process of the object under study. The object of study of this work is a catalytic reforming unit that has been operating for more than half a century and is characterized by the lack of clarity of some part of the initial information. The research methods are methods of system analysis, mathematical modeling, multicriteria optimization, and expert assessments, as well as methods of theories of fuzzy set theories, which allows formalizing and using fuzzy information, as well as experimental-statistical methods. As a result of the conducted research, the following main results were obtained. Based on a systematic approach, an effective methodology has been developed for developing a system of models of interconnected plant units using various types of available information, including fuzzy information. Using the proposed method, hybrid models have been developed to determine the volume of the produced catalyzate and its quality indicators. A scheme has been constructed for combining the developed models of the main units of the catalytic reforming unit into a single package of models. The built system of models makes it possible to systematically simulate the operation of the plant under study and improve the efficiency of the facility by increasing the volume of target products produced and improving its quality indicators. A statement of the problem of multicriteria optimization is obtained, taking into account the partial fuzziness of the initial information, and a heuristic method for its solution is developed, which is based on the use of knowledge, experience, and intuition of the decision-maker. The results of modeling and optimization show the effectiveness of the proposed fuzzy approach.
Catalysis , Decision-makers , Fuzzy information , Heuristic method , Hydrogenated , Installation of catalytic reforming , Mathematical model , Methods of fuzzy set theories , Multicriteria optimization in a fuzzy environment
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Faculty of Information Technologies, L.N. Gumilyov, Eurasian National University, Nur-Sultan, 010000, Kazakhstan
Department of Management, Kazakh University of Economics, Finance and International Trade, Nur-Sultan, 020000, Kazakhstan
Faculty of Information Technologies, Atyrau Oil and Gas University, Atyrau, 060027, Kazakhstan
Department of Economics and Organization of Production, Kazan State Power Engineering University, Kazan, 420066, Russian Federation
Basic Department of Trade Policy, Plekhanov Russian University of Economics, Moscow, 117997, Russian Federation
Institute of Energy, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, 195251, Russian Federation
Faculty of Information Technologies
Department of Management
Faculty of Information Technologies
Department of Economics and Organization of Production
Basic Department of Trade Policy
Institute of Energy
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