Abstract
Modern construction faces the challenge of increasing the energy efficiency of buildings by improving thermal insulation and reducing heat loss. Intelligent thermal insulation systems with built-in IoT solutions offer a new approach to controlling and optimizing heat transfer. This article considers the problem of the inefficiency of traditional insulation materials without monitoring. The purpose of the study is to analyze current technologies for remote monitoring of thermal parameters of building envelopes. The introduction substantiates the relevance of the topic, gives the share of buildings in global energy consumption and the need for smart insulation solutions. The state of development of IoT technologies in the field of thermal insulation is reviewed: from wireless sensor networks for tracking the impact of weather conditions to adaptive "smart" insulation materials with variable thermal conductivity. The main approaches and methods of monitoring heat transfer are described – the use of temperature sensors, hygrometers, heat fluxes and infrared control – using the example of several implemented systems. The results show the effectiveness of implementing IoT monitoring: high-frequency temperature control allows detecting thermal losses in real time and reducing energy consumption. The discussion focuses on practical aspects of application, comparing the obtained data with literary sources and Petrukha’s research on innovations in the construction industry. The conclusions summarize that the implementation of intelligent thermal insulation systems with remote monitoring increases the energy efficiency of buildings and contributes to sustainable development, while requiring consideration of cybersecurity and standardization for mass application.
References
Abdalgader, K., Al Ajmi, R., & Saini, D. K. (2020). IoT-based system to measure thermal insulation efficiency. Journal of Ambient Intelligence and Humanized Computing, 14(5), 5265–5278. https://doi.org/10.1007/s12652-020-02459-0
Atofarati, E. O., & Enweremadu, C. C. (2025). Industry 4.0 enabled calorimetry and heat transfer for renewable energy systems. iScience, 28(7), 112994. https://www.sciencedirect.com/science/article/pii/S2589004225012556
Baldinelli, G., Schnotale, J., Bianchi, F., & Lechowska, A. (2026). A variable thermal transmittance adaptive wall: Comparison between CFD simulations and experimental tests. Energy and Buildings, (350), 116629. https://doi.org/10.1016/j.enbuild.2025.116629
Bruno, R., Bevilacqua, P., & Arcuri, N. (2021). Adaptive thermal insulation for energy-efficient buildings: Design and analysis of an innovative thermal switch panel with variable transmittance. Energy, (334), 137623. https://doi.org/10.1016/j.energy.2025.137623
Jia, H., Feng, X., Cui, B., & Liu, Z. (2025). Design and thermal insulation simulation of nano-SiO₂ foam concrete and vacuum insulation panel system for building exterior wall insulation. Energy, (330), 136833. https://doi.org/10.1016/j.energy.2025.136833
Mach, V., Vojtěšek, J., Adámek, M., Drábek, P., Stoklásek, P., Dlabaja, S., Kopeček, L., & Mizera, A. (2025). Smart IoT-based temperature-sensing device for energy-efficient glass window monitoring. Future Internet, 17(12), 576. https://doi.org/10.3390/fi17120576
Mobaraki, A., Nikoofam, M., Mobaraki, Z., Hosseinzadehfard, E., & Mobaraki, B. (2025). Implementing an intelligent monitoring system to enhance energy efficiency and support decarbonization in sustainable buildings. Smart Design Policies, 2(1), 19–30. https://doi.org/10.38027/smart.v2n1-2
Ryzhakova, G., Pokolenko, V., Malykhina, O., Predun, K., & Petrukha, N. (2020). Structural regulation of methodological management approaches and applied reengineering tools for enterprises-developers in construction. International Journal of Emerging Trends in Engineering Research, 8(10), 7560–7567. https://doi.org/10.30534/ijeter/2020/1428102020
Woźniak, M., Zielonka, A., Sikora, A., Piran, M. J., & Alamri, A. (2020). 6G-enabled IoT home environment control using fuzzy rules. IEEE Internet of Things Journal, 8(7), 5442–5452. https://doi.org/10.1109/JIOT.2020.3044940

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