<link rel="stylesheet" href="styles.f3b1fba60ec7970c.css">

Система керування сонячним повітряним колектором

Анотація

The article presents the development of the intelligent IoT-system for controlling an air solar collector, designed to increase the energy efficiency of heating and ventilation of premises and ensure safe microclimate parameters. The relevance of the study is due to the increase in the cost of energy resources, the need to reduce greenhouse gas emissions and the presence of significant solar potential in Ukraine (average annual GHI indicator of about 1200 kWh/m²), which creates favorable conditions for the implementation of air solar collectors. Modern commercial solutions were analyzed and it was found that most of them have limited automation capabilities and do not provide full remote monitoring and protection against the risk of condensation. The architecture of the system is proposed based on a microcontroller with connection of temperature, relative humidity and CO₂ concentration sensors, as well as a GSM/NB-IoT modem for data transmission to the cloud environment using secure protocols (TLS, AES). Special attention is paid to the algorithm for preventing condensation formation by calculating the dew point temperature according to the Magnus–Tetens formula and implementing decision-making logic based on comparing temperature and humidity parameters. The system operates in three modes: “heating and dehumidification”, “urgent ventilation” and “protection/idleness”, which provides adaptive response to changing conditions in the room and the external environment. A mobile application is provided for real-time monitoring of indicators and remote control. Mechanisms for device authentication, data encryption and autonomous operation in case of loss of communication are implemented. The system is powered by a 12 V DC voltage source with battery backup and BMS, which ensures continuity of operation. The results obtained confirm the feasibility of using the developed system for upgrading the existing air-based solar collectors and implementing it in residential and small commercial facilities to increase energy efficiency and improve indoor air quality.

Опис

УДК

Мова

Бібліографічний опис

Коваль М. А., Цибровський О. М., Мирончук О. Ю. Система керування сонячним повітряним колектором // Вісник Вінницького політехнічного інституту. 2026. № 3. С. 92-98. URI: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/3519.

Схвалення

Рецензія

Доповнено

Цитується в

Список використаної літератури (10)

  1. A. K. Prasad, and M. K. Singh, “Design and analysis of different types of solar collector for solar air dryer: A re-view,” 2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Bhubanes-war, India, 2022, pp. 169-174, https://doi.org/10.1109/ICIDeA53933.2022.9970183.
  2. A. E. Rafaat, A. A. M. Hassan, D. A. Kotin, A. A. Z. Diab, and E. A. A, “Novel Models on Packed Bed Solar Air Collec-tors,” 2022Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), Saint Petersburg, Russian Federation, 2022, pp. 853-857, https://doi.org/10.1109/ElConRus54750.2022.9755772.
  3. Global Solar Atlas / World Bank Group. [Electronic resource]. Available:https://globalsolaratlas.info.
  4. American Society of Heating, Refrigerating and Air-Conditioning Engineers. (2021).ANSI/ASHRAE Standard 160-2021— Criteria for Moisture-Control Design Analysis in Buildings. [Electronic resource]. Available: https://basc.pnnl.gov/library/criteria-moisture-control-design-analysis-buildings-ansiashrae-160-2021.
  5. A.W.T. Barenburg, Psychrometry and Psychrometric Charts, 3rd Edition, Cape Town, S.A.: Cape and Transvaal Printers Ltd., 1974.
  6. M. Lubbers, P. Koopman, and R. Plasmeijer, “Multitasking on Microcontrollers using Task Oriented Program-ming,” 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, 2019, pp. 1587-1592, https://doi.org/10.23919/MIPRO.2019.8756711.
  7. А. В.Бруско, і О. Ю.Мирончук, «Особливості реалізації багатозадачності на платформах Raspberry Pi та Arduino,» Вісник Вінницького політехнічного інституту, No 5, с. 80-85, 2022. https://doi.org/10.31649/1997-9266-2022-164-5-80-85.
  8. G. Singh, R. Das, and A. Singh, “Application of Artificial Neural Network in Renewable Energy-Based Building Cooling Sys-tems,” 2024 IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, India, 2024, pp. 666-671, https://doi.org/10.1109/ICPEICES62430.2024.10719162.
  9. O. Myronchuk, O. Shpylka, D. Strukov, and A. Petrovskyi, “Neural Network for Channel Frequency Response Estimation in OFDM Communication Systems,” 2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technol-ogy (PIC S&T), Kharkiv, Ukraine, 2022, pp. 54-58, https://doi.org/10.1109/PICST57299.2022.10238631.
  10. R. Du, S. Magnusson, and C. Fischione, “The Internet of Things as a Deep Neural Network,” in IEEE Communications Maga-zine, vol. 58, no. 9, pp. 20-25, September 2020, https://doi.org/10.1109/MCOM.001.2000015.