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Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics, 2020, Number 4, Pages 49–61
DOI: https://doi.org/10.24143/2072-9502-2020-4-49-61
(Mi vagtu648)
 

This article is cited in 1 scientific paper (total in 1 paper)

MANAGEMENT, MODELING, AUTOMATION

Studying characteristics of genetic algorithm for optimizing temperature regime of heated rooms

A. P. Shuravin, S. V. Vologdin

Kalashnikov Izhevsk State Technical University, Izhevsk, Udmurt Republic, Russian Federation
References:
Abstract: The article discusses the problems of energy-saving, which can be solved by using mathematical optimization methods, and the mathematical optimization algorithms related to these problems. There has been given the review of Russian and foreign works on energy saving and energy optimization. The need for solving the problems of optimizing the thermohydraulic regimes of buildings is explained. There is given the mathematical formulation of the problem of optimizing the temperature regime of indoor areas using adjustable devices and two methods for solving the problem: the directed search method and the genetic algorithm. The above algorithms including the mathematical apparatus are described. The objective function is described as the standard deviation of the temperature of the heated rooms. Various options for using the genetic algorithm have been investigated. A modification of the genetic algorithm is proposed, which allows obtaining the best results in relation to the problem under consideration. The results of a computation experiment for the considered optimization methods are presented. The calculations were carried out for a typical building in Izhevsk under average design conditions, taking into account the actual condition of the enclosing structures, the heating system of the building, and heating devices of indoor areas. A comparative analysis of the convergence of the iterative process for various options for the application of the genetic algorithm and directional search has been carried out. It is concluded that the new modification allows us to improve the quality of the genetic algorithm. The dependence of the convergence of the genetic algorithm on its parameters was investigated and a modification of this algorithm was proposed in relation to the problem of optimizing the thermo-hydraulic modes of heated rooms. The study is of practical value in terms of using the proposed methodology of saving heat energy in the system of housing and communal services.Practical value is the ability to use in the housing and communal services to save thermal energy.
Keywords: artificial intelligence, room, temperature imbalance, optimization methods, genetic algorithm, direct search algorithm, energy saving, heat networks.
Received: 01.04.2020
Document Type: Article
UDC: 004.932
Language: Russian
Citation: A. P. Shuravin, S. V. Vologdin, “Studying characteristics of genetic algorithm for optimizing temperature regime of heated rooms”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2020, no. 4, 49–61
Citation in format AMSBIB
\Bibitem{ShuVol20}
\by A.~P.~Shuravin, S.~V.~Vologdin
\paper Studying characteristics of genetic algorithm for optimizing temperature regime of heated rooms
\jour Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics
\yr 2020
\issue 4
\pages 49--61
\mathnet{http://mi.mathnet.ru/vagtu648}
\crossref{https://doi.org/10.24143/2072-9502-2020-4-49-61}
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  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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