Energy efficiency analysis of energy facilities using ranking methods
RELEVANCE. Increasing energy efficiency is one of the necessary conditions for modernizing the Russian economy. High energy intensity and energy efficiency analysis are due to the combined influence of a number of factors, both global and private. Thus, for electric grid organizations the problem of...
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Kazan State Power Engineering University
2024-01-01
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| Series: | Известия высших учебных заведений: Проблемы энергетики |
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| Online Access: | https://www.energyret.ru/jour/article/view/2817 |
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| author | V. M. Less V. Y. Lyubchenko D. A. Pavlyuchenko |
| author_facet | V. M. Less V. Y. Lyubchenko D. A. Pavlyuchenko |
| author_sort | V. M. Less |
| collection | DOAJ |
| description | RELEVANCE. Increasing energy efficiency is one of the necessary conditions for modernizing the Russian economy. High energy intensity and energy efficiency analysis are due to the combined influence of a number of factors, both global and private. Thus, for electric grid organizations the problem of energy efficiency is a priority. Having at their disposal electrical grid facilities, including points of reception and transmission of electrical energy, electrical equipment and power transmission lines, electrical grid organizations incur huge losses caused by losses during the transmission of electrical energy, losses associated with the unaccounted share of electricity, as well as third-party factors. OBJECT. Conduct an analysis of the energy efficiency of an electric grid organization that has 10 branches. Form a hierarchy of energy efficiency indicators, determine the impact of each indicator on the integral indicator that reflects the energy efficiency of the facility. Conduct benchmarking, identify leaders and outsiders among power grid organizations. METHODS. To calculate the weight coefficients, the method of analysis of hierarchies in the classical and fuzzy formulations was used. Energy efficiency benchmarking was carried out by ranking power grid organizations according to the integral indicator of energy efficiency. RESULTS. A three-level hierarchy of energy efficiency indicators has been formed. A decision-making algorithm is presented when analyzing the energy efficiency of energy industry facilities. The weight coefficients of indicators and integral values of energy efficiency of organizations are calculated. The indicators that have the greatest impact on the overall efficiency of the facility were identified. A summary diagram of comparison of all branches has been formed, the most and least successful organizations have been identified. CONCLUSIONS. The analysis of energy efficiency, carried out using two methods of analysis of hierarchies, made it possible to identify the advantages and disadvantages of the classical representation of the method. Determination of leaders within the branch structure of the electric grid organization allows us to analyze the methods used to improve energy efficiency, as well as to introduce them in the future to less successful branches. |
| format | Article |
| id | doaj-art-a4229ccd619540f5b4b74dbf139573ef |
| institution | Kabale University |
| issn | 1998-9903 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Kazan State Power Engineering University |
| record_format | Article |
| series | Известия высших учебных заведений: Проблемы энергетики |
| spelling | doaj-art-a4229ccd619540f5b4b74dbf139573ef2024-11-26T11:39:43ZengKazan State Power Engineering UniversityИзвестия высших учебных заведений: Проблемы энергетики1998-99032024-01-01255425810.30724/1998-9903-2023-25-5-42-58975Energy efficiency analysis of energy facilities using ranking methodsV. M. Less0V. Y. Lyubchenko1D. A. Pavlyuchenko2Novosibirsk State Technical UniversityNovosibirsk State Technical UniversityNovosibirsk State Technical UniversityRELEVANCE. Increasing energy efficiency is one of the necessary conditions for modernizing the Russian economy. High energy intensity and energy efficiency analysis are due to the combined influence of a number of factors, both global and private. Thus, for electric grid organizations the problem of energy efficiency is a priority. Having at their disposal electrical grid facilities, including points of reception and transmission of electrical energy, electrical equipment and power transmission lines, electrical grid organizations incur huge losses caused by losses during the transmission of electrical energy, losses associated with the unaccounted share of electricity, as well as third-party factors. OBJECT. Conduct an analysis of the energy efficiency of an electric grid organization that has 10 branches. Form a hierarchy of energy efficiency indicators, determine the impact of each indicator on the integral indicator that reflects the energy efficiency of the facility. Conduct benchmarking, identify leaders and outsiders among power grid organizations. METHODS. To calculate the weight coefficients, the method of analysis of hierarchies in the classical and fuzzy formulations was used. Energy efficiency benchmarking was carried out by ranking power grid organizations according to the integral indicator of energy efficiency. RESULTS. A three-level hierarchy of energy efficiency indicators has been formed. A decision-making algorithm is presented when analyzing the energy efficiency of energy industry facilities. The weight coefficients of indicators and integral values of energy efficiency of organizations are calculated. The indicators that have the greatest impact on the overall efficiency of the facility were identified. A summary diagram of comparison of all branches has been formed, the most and least successful organizations have been identified. CONCLUSIONS. The analysis of energy efficiency, carried out using two methods of analysis of hierarchies, made it possible to identify the advantages and disadvantages of the classical representation of the method. Determination of leaders within the branch structure of the electric grid organization allows us to analyze the methods used to improve energy efficiency, as well as to introduce them in the future to less successful branches.https://www.energyret.ru/jour/article/view/2817hierarchy analysis methodintegral indicatorweight coefficientlinguistic variabledegree of fuzzinesspower grid organizationexpert analysis |
| spellingShingle | V. M. Less V. Y. Lyubchenko D. A. Pavlyuchenko Energy efficiency analysis of energy facilities using ranking methods Известия высших учебных заведений: Проблемы энергетики hierarchy analysis method integral indicator weight coefficient linguistic variable degree of fuzziness power grid organization expert analysis |
| title | Energy efficiency analysis of energy facilities using ranking methods |
| title_full | Energy efficiency analysis of energy facilities using ranking methods |
| title_fullStr | Energy efficiency analysis of energy facilities using ranking methods |
| title_full_unstemmed | Energy efficiency analysis of energy facilities using ranking methods |
| title_short | Energy efficiency analysis of energy facilities using ranking methods |
| title_sort | energy efficiency analysis of energy facilities using ranking methods |
| topic | hierarchy analysis method integral indicator weight coefficient linguistic variable degree of fuzziness power grid organization expert analysis |
| url | https://www.energyret.ru/jour/article/view/2817 |
| work_keys_str_mv | AT vmless energyefficiencyanalysisofenergyfacilitiesusingrankingmethods AT vylyubchenko energyefficiencyanalysisofenergyfacilitiesusingrankingmethods AT dapavlyuchenko energyefficiencyanalysisofenergyfacilitiesusingrankingmethods |