Development of technologies for automated control of heat supply systems based on renewable energy sources
Rozwój technologii automatycznego sterowania systemami zaopatrzenia w ciepło opartymi na odnawialnych źródłach energii
Aliyev A. Dyusenov K. Japarova D. Yerbayeva N. Tulegenov K.
2025Mineral and Energy Economy Research Institute of the Polish Academy of Sciences
Polityka Energetyczna
2025#28Issue 2113 - 134 pp.
The study is conducted to optimize technologies for automated control of heat supply systems based on renewable energy sources that can increase energy efficiency and reduce environmental impact. The study uses machine learning methods for predicting heat energy consumption, intelligent monitoring and diagnostics systems, and control automation algorithms to optimize the operation of heat supply systems based on renewable energy sources. As a result of the study, an automated heat supply management system based on renewable energy sources is analyzed, which demonstrated high energy efficiency and flexibility in operation. The use of intelligent algorithms allows optimising the distribution of heat energy, considering fluctuations in weather conditions and loads. Automation of control processes reduces operating costs and minimizes human intervention. It is also established that the integration of solar collectors and geothermal sources into a single system reduces dependence on traditional energy sources and carbon dioxide emissions. The study shows that optimizing the use of renewable sources with automated control not only increases the reliability of heat supply but also contributes to reducing operating costs in comparison with traditional systems. This confirms the prospects of such technologies for broad application in municipal and industrial heat supply systems. In addition, it is determined that automated control systems contribute to more accurate forecasting of thermal energy needs, which reduces the risk of overloads and interruptions in heat supply. The study also shows that the use of combined sources of renewable energy, such as solar and geothermal installations, increases the overall efficiency of the system.
demand forecasting , discharge reduction , intelligent algorithms , solar collectors , weather conditions
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Department of Thermal Power Engineering, L.N. Gumilyov Eurasian National University, Kazakhstan
Higher School of Electrical Engineering and Automation, West Kazakhstan Agrarian and Technical University named after Zhangir Khan, Kazakhstan
Department of Technical Disciplines, Kazakhstan University of Innovation and Telecommunication Systems, Kazakhstan
Department of Thermal Power Engineering
Higher School of Electrical Engineering and Automation
Department of Technical Disciplines
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Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026