Abstract
The study of the factors for the influence of the centralized municipal heat supply system on the comfort of the living environment. A technique is described that helps optimizing the positive effect of the heat and power system on the comfort of the living environment. This technique is based on the Data Envelopment Analysis (DEA) method. The article describes the method, considers the basic model used in the study. In accordance with the task set in the study, the indicators for the objects of the heat and power system were optimized to improve the comfort of the living environment. The Decision-Making Unit (DMU) inputs and outputs are determined, and a suitable DEA model for solving this problem is determined. heat and power plants and boiler houses of the region with a particularly severe and cold climate were selected as the studied DMUs. The DEA model made it possible to adjust the performance of urban heat and power plants and boiler houses in such a way as to increase the comfort of the urban living environment. The approbation was carried out on specific indicators for the objects of the centralized municipal heat supply system in the city of Krasnoyarsk. Twelve DMUs from boiler houses and heat and power plants were analyzed. A calculation was carried out to optimize the performance of DMU data to improve the comfort of the living environment in the city of Krasnoyarsk. As a result of the study, it was revealed that seven objects of the system work in an optimal mode. Five objects of the system are not working in an optimal mode. Accordingly, these five objects revealed deviations in performance indicators from the recommended optimal values for solving the task set in the study. For these five objects, the performance indicators were adjusted in the optimal mode when solving the problem of improving the comfort of the living environment. That will contribute to improving the environmental situation in the city, especially in residential areas. This technique was applied to optimize the influence of the centralized municipal heat supply system on the comfort of the residential environment in the city of Krasnoyarsk. And it can be used in the future to solve this kind of problems. It is assumed that this technique can be applied to other regions with particularly severe and cold climates. The results of this study will be applied to the development of an automated geoinformation system, as well as an expert system of residential complexes in the city of Krasnoyarsk.
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