ORIGINAL PAPER
Development of technologies for automated control of heat supply systems based on renewable energy sources
1
Department of Thermal Power Engineering, L.N. Gumilyov Eurasian National University, Kazakhstan
2
Higher School of Electrical Engineering and Automation, West Kazakhstan Agrarian and Technical University named after Zhangir Khan, Kazakhstan
3
Department of Technical Disciplines, Kazakhstan University of Innovation and Telecommunication Systems, Kazakhstan
Submission date: 2025-02-06
Final revision date: 2025-05-12
Acceptance date: 2025-05-12
Publication date: 2025-06-23
Corresponding author
Askhat Aliyev
Department of Thermal Power Engineering, L.N. Gumilyov Eurasian National University, Kazakhstan
Department of Thermal Power Engineering, L.N. Gumilyov Eurasian National University, Kazakhstan
Polityka Energetyczna – Energy Policy Journal 2025;28(2):113-134
KEYWORDS
TOPICS
Renewable energy sourcesEcological, economic, social and legal aspects in energy systemsEffective use of energyDevelopment of new energy technologiesEnergy systems modelling
ABSTRACT
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.
CONFLICT OF INTEREST
The Authors have no conflicts of interest to declare.
METADATA IN OTHER LANGUAGES:
Polish
Rozwój technologii automatycznego sterowania systemami zaopatrzenia w ciepło opartymi na odnawialnych źródłach energii
inteligentne algorytmy, kolektory słoneczne, redukcja rozładowania, warunki pogodowe i prognozowanie zapotrzebowania
W artykule przedstawiono badanie, które przeprowadzono w celu optymalizacji technologii automatycznego sterowania systemami zaopatrzenia w ciepło opartymi na odnawialnych źródłach energii, które mogą zwiększyć efektywność energetyczną i zmniejszyć wpływ na środowisko. Badanie wykorzystuje metody uczenia maszynowego do przewidywania zużycia energii cieplnej, inteligentne systemy monitorowania i diagnostyki oraz algorytmy automatyzacji sterowania w celu optymalizacji działania systemów zaopatrzenia w ciepło opartych na odnawialnych źródłach energii. W wyniku badań przeanalizowano zautomatyzowany system zarządzania dostawami ciepła oparty na odnawialnych źródłach energii, który wykazał się wysoką efektywnością energetyczną i elastycznością w działaniu. Zastosowanie inteligentnych algorytmów pozwala na optymalizację dystrybucji energii cieplnej z uwzględnieniem wahań warunków pogodowych i obciążeń. Automatyzacja procesów sterowania zmniejsza koszty operacyjne i minimalizuje interwencję człowieka. Ustalono również, że integracja kolektorów słonecznych i źródeł geotermalnych w jednym systemie zmniejsza zależność od tradycyjnych źródeł energii i emisję dwutlenku węgla. Badanie pokazuje, że optymalizacja wykorzystania źródeł odnawialnych z automatycznym sterowaniem nie tylko zwiększa niezawodność dostaw ciepła, ale także przyczynia się do obniżenia kosztów operacyjnych w porównaniu z tradycyjnymi systemami. Potwierdza to perspektywy szerokiego zastosowania takich technologii w miejskich i przemysłowych systemach zaopatrzenia w ciepło. Ponadto stwierdzono, że zautomatyzowane systemy sterowania przyczyniają się do dokładniejszego prognozowania zapotrzebowania na energię cieplną, co zmniejsza ryzyko przeciążeń i przerw w dostawach ciepła. Badanie pokazuje również, że wykorzystanie połączonych źródeł energii odnawialnej, takich jak instalacje słoneczne i geotermalne, zwiększa ogólną wydajność systemu.
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