Тип публикации: статья из журнала

Год издания: 2021

Идентификатор DOI: 10.37394/232016.2021.16.34

Ключевые слова: centralized municipal heat supply system, comfort of the living environment, heat and power plants, heat and power system, heat comfort, housing and communal sector, mass of emissions, methodology, the data envelopment analysis method

Аннотация: 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)Показать полностьюmethod. 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. © 2021, World Scientific and Engineering Academy and Society. All rights reserved.

Журнал: WSEAS Transactions on Power Systems

Выпуск журнала: Vol. 16

Номера страниц: 344-353

ISSN журнала: 17905060

Издатель: World Scientific and Engineering Academy and Society

• Stupina A. (Institute of Business Process Management, University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarskii rabochii Ave, 31, Krasnoyarsk, 660037, Russian Federation, Economics and AIC administration Krasnoyarsk State Agrarian University, Mira Avenue, 90, Krasnoyarsk, 660049, Russian Federation)
• Pokushko M. (Institute of Business Process Management, University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarskii rabochii Ave, 31, Krasnoyarsk, 660037, Russian Federation, Superior Engineering School, University of Cadiz, Cadiz, University of Cadiz Ave., 10, Puerto Real, 11519, Spain)
• Shagaeva O. (Institute for the Humanities, University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation)
• Medina-Bulo I. (Superior Engineering School, University of Cadiz, Cadiz, University of Cadiz Ave., 10, Puerto Real, 11519, Spain)
• Dresvianskii E. (Polytechnic Institute University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarskii rabochii Ave, 31, Krasnoyarsk, 660037, Russian Federation, Superior Engineering School, University of Cadiz, Cadiz, University of Cadiz Ave., 10, Puerto Real, 11519, Spain)
• Kuzmich R. (Institute of Business Process Management, University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation)
• Antamoskin O. (Institute for the Humanities, University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Economics and AIC administration Krasnoyarsk State Agrarian University, Mira Avenue, 90, Krasnoyarsk, 660049, Russian Federation, Institute of space and information technologies, University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Institute of Engineering and Economics, Reshetnev Siberian State University of Science and Technology, Krasnoyarskii rabochii Ave, 31, Krasnoyarsk, 660037, Russian Federation)
• Tsepkova M. (Institute of Business Process Management, University Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Krasnoyarsk Branch Saint-Petersburg University of the Humanities and Social Sciences, Saint-Petersburg University of the Humanities and Social Sciences, Aerovokzalnaya Ave, 4V, Krasnoyarsk, 660022, Russian Federation)

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