Multi-criteria evaluation of the efficiency of resource-saving measures in the engineering systems of standard buildings

Authors

  • Anna Gavrilova Samara State Technical University
  • Lyajsan Sagitova Samara State Technical University
  • Ilya CHichev Samara State Technical University

Keywords:

energy efficiency, DEA methodology, generalized efficiency criterion, multi-criteria assessment

Abstract

Improving the energy efficiency of existing capital construction projects is an important and urgent task. To improve the efficiency of operation of residential apartment buildings, an analysis of existing measures for energy and resource saving was carried out, a set of particular criteria for the effectiveness of energy-saving measures for engineering systems of buildings was proposed, and the values of savings during their implementation for four types of houses were determined. A method for assessing the comparative effectiveness of energy-saving measures using the DEA multi-criteria assessment method (Data Envelopment Analysis) is proposed. Comprehensive performance criteria are formulated for the analysis of measures for heating, water supply and electricity supply systems. The use of the DEA methodology makes it possible to optimize the choice of priority areas for the implementation of resource saving measures for all types of buildings.

Metrics

Metrics Loading ...

References

ГОСТ

1. Дилигенский Н.В., Цапенко М.В. Многокритериальная оценка сравнительной эффективности организационных систем управления // Проблемы управления и моделирования в сложных системах: труды VIII межд. конф. Самара: САМНЦ РАН, 2006. С. 66-72.

EDN: JAXCTH

2. Thanassoulis E., Allen R. Simulating Weights Restrictions in Data Envelopment Analysis by Means of Unobserved DMUs // Management Science.1998, April. Vol. 44, No. 4. P. 586–594.

DOI: 10.1287/mnsc.44.4.586

3. The DEA Process, Usages and Interpretations. / A. Charnes, W.W. Cooper, A.Y. Lewin, L.M. Seiford // Data Envelopment Analysis: Theory, methodology and applications. New York: Springer Science+Business Media. 1994. P. 425-435.

DOI: 10.1007/978-94-011-0637-5

4. Дилигенский Н.В., Гаврилова А.А., Цапенко М.В. Построение и идентификация математических моделей производственных систем: Учебное пособие. Самара: ООО «Офорт», 2005. 126 с.

5. Обобщенная оценка сравнительной эффективности работы котельного оборудования / А.Г. Салов, А.А. Гаврилова, Ю.В. Чиркова, Л.А. Сагитова // Вестник СГАСУ. Градостроительство и архитектура: научно-технический журнал. 2016. № 2. С. 140-146.

EDN: WCFKUP

6. Gavrilova A., Salov A., Sagitova L. System Analysis of the Effectiveness of Regional Energy System Management in the Conditions of Transformation // In Proc. 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP). Samara: IEEE, 2019. P. 736-741.

DOI: 10.1109/CSCMP45713.2019.8976644. URL: https://ieeexplore.ieee.org/document/ 8976644

7. Gavrilova A.A., Salov A.G., Sagitova L.A. Assessment of the Efficiency of the Samara Region's Energy Complex Under Changing Conditions // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). Vladivostok: IEEE, 2020. P. 1-4. DOI: 10.1109/FarEastCon50210.2020.9271116. URL: https://ieeexplore.ieee.org/document/9271116

APA

1. Diligenskij, N. V., & Capenko, M. V. (2006). Mnogokriterial'naya ocenka sravnitel'noj effektivnosti organizacionnyh sistem upravleniya [Multi-criteria assessment of the comparative effectiveness of organizational management systems] // In Proc. of the VIII int. conf. Samara Problems of control and modeling in complex systems. (pp. 66-72). SAMNC RAN. [In Russian]

2. Thanassoulis, E., & Allen, R. (1998). Simulating Weights Restrictions in Data Envelopment Analysis by Means of Unobserved DMUs. Management Science, 44(4), 586–594. http://dx.doi.org/10.1287/mnsc.44.4.586

3. Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (1994). The DEA Process, Usages and Interpretations. In Data Envelopment Analysis: Theory, methodology and applications (pp. 425-435) . Springer Science+Business Media. https://doi.org/10.1007/978-94-011-0637-5

4. Diligenskij, N. V., Gavrilova, A. A., & Capenko, M. B. (2005). Postroenie i identifikaciya matematicheskih modelej proizvodstvennyh sistem: Uchebnoe posobie. [Construction and identification of mathematical models of production systems:Tutorial]. Izd-vo OOO «Ofort». [In Russian]

5. Salov, A. G., Gavrilova, A. A., CHirkova, YU. V., & Sagitova, L. A. (2016). Obobshchennaya ocenka sravnitel'noj effektivnosti raboty kotel'nogo oborudovaniya [Generalized assessment of the comparative efficiency of boiler equipment]. Vestnik SGASU. Gradostroitel'stvo i arhitektura: nauchno-tekhnicheskij zhurnal, 2, 140-146. https://elibrary.ru/wcfkup [In Russian]

6. Gavrilova, A., Salov, A., & Sagitova, L. (2019). System Analysis of the Effectiveness of Regional Energy System Management in the Conditions of Transformation. In Proc. 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP). (pp. 736-741). IEEE. https://doi.org/10.1109/CSCMP45713.2019.8976644.

7. Gavrilova, A. A., Salov, A. G., & Sagitova, L.A. (2020). Assessment of the Efficiency of the Samara Region's Energy Complex Under Changing Conditions. In Proc. 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). (pp. 1-4). IEEE. https://doi.org/10.1109/FarEastCon50210.2020.9271116

Published

2023-06-30

How to Cite

Gavrilova А. ., Sagitova Л. ., & CHichev И. . (2023). Multi-criteria evaluation of the efficiency of resource-saving measures in the engineering systems of standard buildings. Energy Systems, 8(1), 99–105. Retrieved from https://j-es.ru/index.php/journal/article/view/2023-1-008

URN