Formation of solutions for selecting energy installations for ensuring territorial energy efficiency
Автор: Arzola-Ruiz J., Garcia-Marrero L.E., Polyukhovich M.A., Muhongo V.R., Logvinova Yu.V.
Журнал: Онтология проектирования @ontology-of-designing
Рубрика: Методы и технологии принятия решений
Статья в выпуске: 1 (59) т.16, 2026 года.
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The study is devoted to the development of an approach to ensuring the energy efficiency of a territory. The subject of the study is the modeling of the process of selecting the type and proportional composition of energy installations for various geographical areas within a territory. The research tasks included the analysis of criteria for the placement of energy installations, the algorithmization of decision-making, and the identification of design options for the deployment of solar and wind power plants. A mathematical model for searching solutions to meet energy consumers with the required capacity in a given territory is presented. The optimal solution for selecting energy installations is obtained using the Chebyshev distance. Efficiency criteria are defined that make it possible to formulate requirements for design solutions in the planning of an energy supply system. A dataset is identified and adjusted by the decision-maker to achieve a compromise between energy efficiency indicators. An algorithm for finding the optimal solution for the selection of energy installations under the imposed restrictions is developed. A set of criteria for the rational use of the territory's renewable resources is formed, enabling the selection of the type and number of energy installations (solar panels, wind turbines, or their hybrid configurations). The results of modeling the use of renewable energy sources in different territorial, taking into account various factors (solar radiation intensity, wind speed, etc.), are presented.
Decision-making, territorial energy efficiency, wind turbine, solar panel, renewable resource
Короткий адрес: https://sciup.org/170211639
IDR: 170211639 | УДК: 004.02 | DOI: 10.18287/2223-9537-2026-16-1-111-124