STUDY OF THE IMPACT OF BUILDING MODERNIZATION ON ENERGY EFFICIENCY AS A BASIS FOR ENERGY CONSUMPTION OPTIMIZATION
DOI:
https://doi.org/10.31650/2786-6696-2026-17-119-129Keywords:
energy efficiency of buildings, modernization, reconstruction, energy consumption, energy-efficient construction solutions, thermal modernization, multi-criteria optimization, Saati method.Abstract
This paper investigates the energy efficiency of buildings in the Dnipropetrovsk region following major renovation and reconstruction. The most common energy-efficient building solutions implemented during modernization were identified to evaluate their impact on changes in the energy performance of buildings and to establish a set of alternative design solutions that can serve as the initial database for the development of a decision-making algorithm. The proposed algorithm is intended to optimize organizational and technological decisions for building construction and energy modernization while considering the minimization of energy consumption in subsequent research.
The results demonstrate that the modernization of existing buildings is an effective approach to improving their energy performance and reducing annual energy demand. An analysis of ten completed projects in the Dnipropetrovsk region, including six educational facilities and four public buildings, showed that the implementation of comprehensive energy-efficiency measures significantly improves the energy performance of buildings with different functional purposes. As a result of modernization, the calculated annual energy consumption of individual buildings decreased by 34.2% to 57.9%, while the total annual energy savings for the analyzed sample reached 4782.8 thousand kWh, corresponding to approximately 50.5% of the initial energy consumption. The effectiveness of the implemented measures was further confirmed by improvements in the energy performance classes of several buildings, including upgrades from class G to class E and, in some cases, to class C. Based on the analysis, the most widely applied energy-efficiency solutions in the Dnipropetrovsk region were identified, and an initial set of design alternatives was established. This set will be used as the basic alternative database for the development of an optimal decision-making algorithm in further research. The practical significance of the obtained results lies in the formation of a baseline set of alternative design solutions that can be used to develop expert decision-support models for energy-efficient building modernization. The proposed approach creates the basis for automating the selection of optimal building solutions using multi-criteria decision-making methods.
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