z-logo
open-access-imgOpen Access
DEVELOPMENT OF A METHODOLOGYFOR DETERMINING THE BEST OPTION FOR THE ROUTE OF THE HEAT NETWORK AT THE INITIAL DESIGN STAGE
Author(s) -
А. А. Чуйкина,
M. Ya. Panov,
С. Н. Кузнецов
Publication year - 2021
Publication title -
russian journal of building construction and architecture
Language(s) - English
Resource type - Journals
ISSN - 2542-0526
DOI - 10.36622/vstu.2021.52.4.003
Subject(s) - mathematical optimization , generalization , pairwise comparison , computer science , vector optimization , optimization problem , set (abstract data type) , mathematics , multi swarm optimization , mathematical analysis , artificial intelligence , programming language
Statement of the problem. Choosing the best option for the route of the thermal network at the initial stage of design is a complex multifactorial task, in addition, due to the lack of a number of necessary design calculations, its solution is accompanied by a limited set of initial data. Thus, it becomes relevant to develop a new methodology for designing the optimal route of the heat supply system considering the qualitative and quantitative characteristics of the discussed object.Results. A mathematical model of a generalized additive vector optimality criterion has been developed, taking into account the material consumption of the heat network, its reliability, construction time, annual thermal losses, heat turnover and temperature dispersion at the consumer. A method is proposed for determining the best option for the route of a thermal network at the initial design stage by jointly solving the optimization problem using vector optimization and matrix generalization methods. The expediency of the joint application of the methods of pairwise comparison and vector optimization in solving the problem under consideration is noted.Conclusions. An important characteristic of the developed mathematical model of the generalized criterion is the possibility of obtaining a more accurate solution to the optimization problem under consideration with an uneven distribution of the heat load by means of a biased estimate of the temperature variance among consumers. A combination of the methods of matrix generalization, pairwise comparison and vector optimization can improve the accuracy of the calculation while solving the optimization problem of choosing the best route of the thermal network.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here