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Evaluating the efficiency of heat and power systems by the data envelopment analysis method

Описание

Тип публикации: статья из журнала

Год издания: 2021

Идентификатор DOI: 10.37394/232016.2021.16.19

Ключевые слова: centralized municipal heat supply system, complex system, decision making unit, efficiency indicators, fuel and energy complex, heat and power system, methodology, the data envelopment analysis method

Аннотация: The article describes the Data Envelopment Analysis (DEA) method and the main features of its application. The main problems of heat and power systems are described, which are addressed by the DEA method of efficiency assessment presented in the article. The approbation of this method is presented at the objects of the centralized Показать полностьюmunicipal heat supply system of the fuel and energy complex: boiler houses and heat and power plants. 9 objects were analyzed according to four input indicators: available heat capacity, installed heat capacity, heat consumption for own needs, fuel consumption. Also, the efficiency of the system was evaluated according to two output indicators: the release of thermal energy to the grid and the mass of the emission. As a result of the analysis and calculations made, it was revealed that 5 objects have the maximum possible efficiency indicator equal to 1, that is, they function as efficiently as possible. 4 objects of the centralized municipal heat supply system have an efficiency indicator less than 1. Accordingly, improvements are required for the operation of the above Decision-Making Units (DMU)s. These objects have deviations in terms of the inputs and outputs of the actual data and those obtained using the DEA method. Based on the calculations obtained for these 4 objects, the article provides recommendations for changing the quantitative values of their input and output indicators. For example, for object number 2, it is recommended to reduce the installed heat capacity in the grid by 72.57%, without changing the available heat capacity and fuel consumption. Reduce the heat consumption for your own needs by 69.383%. In addition, it is recommended to increase the supply of thermal energy to the grid by 6,034%, and reduce the mass of emission by 11.5%. Specific measures have also been developed to modernize the studied objects in order to achieve the recommended indicators of inputs and outputs. The research results presented in the article are of scientific and practical interest and can be used to improve the efficiency of heat and power systems facilities. © 2021, World Scientific and Engineering Academy and Society. All rights reserved.

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Издание

Журнал: WSEAS Transactions on Power Systems

Выпуск журнала: Vol. 16

Номера страниц: 185-194

ISSN журнала: 17905060

Издатель: World Scientific and Engineering Academy and Society

Персоны

  • Pokushko M. (Institute of Business Process Management, Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Institute of Informatics and Telecommunications Reshetnev, Siberian State University of Science and Technology, Krasnoyarsky rabochy Ave, 31, Krasnoyarsk, 660037, Russian Federation, Superior Engineering School, University of Cadiz, University of, Cadiz Ave., 10, Puerto Real (Cadiz), 11519, Spain)
  • Stupina A. (Institute of Business Process Management, Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Institute of Informatics and Telecommunications Reshetnev, Siberian State University of Science and Technology, Krasnoyarsky rabochy Ave, 31, Krasnoyarsk, 660037, Russian Federation)
  • Medina-Bulo I. (Superior Engineering School, University of Cadiz, University of, Cadiz Ave., 10, Puerto Real (Cadiz), 11519, Spain)
  • Dresvianskii E. (Polytechnic Institute Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation, Institute of Informatics and Telecommunications Reshetnev, Siberian State University of Science and Technology, Krasnoyarsky rabochy Ave, 31, Krasnoyarsk, 660037, Russian Federation, Superior Engineering School, University of Cadiz, University of, Cadiz Ave., 10, Puerto Real (Cadiz), 11519, Spain)
  • Stupin A. (Institute of Informatics and Telecommunications Reshetnev, Siberian State University of Science and Technology, Krasnoyarsky rabochy Ave, 31, Krasnoyarsk, 660037, Russian Federation, Superior Engineering School, University of Cadiz, University of, Cadiz Ave., 10, Puerto Real (Cadiz), 11519, Spain)
  • Kuzmich R. (Institute of Business Process Management, Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation)
  • Ruiga I. (Institute of Business Process Management, Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation)
  • Korpacheva L. (Institute of Business Process Management, Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russian Federation)

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