Abstract
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.
Highlights
In refineries for the production of high-quality motor fuels that meet modern environmental requirements, thermocatalytic processes are currently used, which take place in catalytic cracking and reforming units in the presence of catalysts [1,2]
Catalytic reforming unit LG-35-11/300-95 is a complex of chemical engineering system, consisting of interconnected blocks and units, which are simultaneously affected by a large number of different parameters
On the basis of the system analysis methodology, we propose a methodology for the development of mathematical models of interconnected units of chemical engineering systems, for example, the LG-35-11/300-95 installation based on fuzzy information and other available data
Summary
In refineries for the production of high-quality motor fuels that meet modern environmental requirements, thermocatalytic processes are currently used, which take place in catalytic cracking and reforming units in the presence of catalysts [1,2]. Such technological installations are related to economic and ecological systems [3]. Since the technological units of catalytic cracking and reforming include various interconnected technological units, they belong to complex chemical engineering systems (CES). Many technological units of cracking and reforming operate under conditions of scarcity and unclearness of initial information about their states
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