Improving the efficiency of technological units for the production of high-quality motor fuels using fuzzy mathematics methods

Abstract

This paper investigates the problems of increasing the efficiency of technological installations of oil refineries, which produce high-octane and environmentally friendly motor fuels. We used methods of mathematical modeling and fuzzy mathematics to maximize the volume of gasoline produced and improve its quality indicators, taking into account the imposed restrictions. On the basis of a systematic approach, an effective methodology is created for the development of a package of models of interconnected plant units using available information of a different nature, including fuzzy information. The resulting package of models makes it possible to systematically simulate the work of the unit under study and to increase the efficiency of the facility by increasing the volume of manufactured target products and improving its quality indicators. There are presented results of the analysis and expert assessment of the catalytic reforming unit LG-35-11/300-95 and the choice of the optimal type of model for individual units. A scheme is being created for combining the developed models into a single package of models. On the basis of the proposed methodology, hybrid models are being developed that make it possible to determine the volume of produced catalyzate and its quality indicators.

The System of Models and Optimization of Operating Modes of a Catalytic Reforming Unit Using Initial Fuzzy Information

“…Mathematical models of interconnected reforming reactors of the LG-35-11/300-95 unit are built on the basis of the methodology proposed above in Section 3.1 for developing models of interconnected CES units using experimental statistical and expert data. Applying the idea of the method of sequential switching on of regressors [6,22,32,33] identified the following structures of combined models of reforming reactors R-2, R-3, R-4, R-4a:…”