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Название Fuzzy economic and mathematical model of a heat-technological system for pelletizing in non-ferrous metallurgy
DOI 10.17580/nfm.2018.02.10
Автор Borisov V. V., Bobkov V. I., Dli M. I., Seljavskij Yu. V.
Информация об авторе

Branch of the National Research University “Moscow Power Engineering Institute”, Smolensk, Russia:

V. V. Borisov, Professor, Chair of Computer Engineering, e-mail: vbor67@mail.ru
V. I. Bobkov, Assistant Professor, Chair of Higher Mathematics, e-mail: vovabobkoff@mail.ru
M. I. Dli, Head of the Chair of Management and Information Technologies in Economics, e-mail: midli@mail.ru
Yu. V. Seljavskij, Post-Graduate Student

Реферат

An economic and mathematical problem of increasing energy efficiency of a heat-technological system (HTS) of pelletizing in non-ferrous metallurgy was stated. The problem is to determine the values of controlling parameters in order to minimize the total cost of electric and thermal power of pelletizing taking into account technological, organizational and other limitations imposed on these processes. Justified is the conclusion that in the present context of pelletizing in non-ferrous metallurgy, usage of a fuzzy logical approach is worthwhile for modeling and estimating electrical and thermal energy costs in order to increase energy efficiency of the heat technology system of pelletizing. A cascade multicomponent fuzzy economic and mathematical model of a heat-technological system of pelletizing in nonferrous metallurgy has been deve loped. It includes: fuzzy component models for analy zing the pelletizing processes; fuzzy productional models for estimating cost of electrical and thermal energy at all stages for all the processes of pelletizing; fuzzy productional models for estimating cost of electrical and thermal energy for all the processes of pelletizing; fuzzy productional models for estimating total electrical and thermal energy costs. The article describes the suggested approach to solving an economic and mathematical problem of increasing the energy efficiency of HTS of pelletizing using the proposed cascade multicomponent fuzzy model, which is to set various combinations of control parameters for each stage of all the processes, taking into account technological, organizational and other limitations imposed on these processes followed by modeling and in the determination of such combinations of these parameters, which provide minimization of electric and thermal energy total costs during pelletizing.

This work is done within the framework of a State task of the Ministry of Education and Science of the Russian Federation to perform public works in the field of scientific activities, base part of the project No. 13.9597.2017/БЧ.

Ключевые слова Heat-technological system, roasting conveyor machine, pelletizing, electrical and thermal energy, energy efficiency, fuzzy economic and mathematical model, fuzzy logical deduction
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