ENSURING SAFE RESOURCE UTILIZATION OF LIVING SPACE THROUGH CONTROL OF THE MICROCLIMATE OF A SMART HOME
DOI:
https://doi.org/10.32999/ksu2307-8030/2023-49-1Keywords:
energy efficiency, resource saving, smart home, statistical data, microclimate, sensor, actuatorAbstract
The article is devoted to the research on ways of economical consumption of resources by virtue of the analysis of the accumulated history of settings of the microclimate control system of a smart home according to the HVAC system approach, depending on various factors (the presence of residents in the living space, meteorological indicators and forecasts, time of day, etc.), as well as the obtained financial and energy benefit. The relevance of the topic has been emphasized in the last two years due to the increase in the price of energy resources for the residential sector and gas blackmail from the Russian Federation, as well as the need to transform the energy consumption sector at the level of European standards and rebuild energy-independent climate-neutral cities in order to ensure the European future and Ukraine's membership in the EU. As a result of the work, the set goal was achieved: the possibility of energy-efficient remote control of actuators to reduce resource consumption is shown on the example of a designed smart home with the function of indoor microclimate control. For this purpose, an intuitive interface of the developed operator panel is proposed, which is served by a web application with a client-server architecture for the accumulation of historical data for the purpose of performing regression analysis in the future.
References
Alaa M., Zaidan A. A., Zaidan B. B., Talal M., Kiah M. L. M. (2017) A review of smart home applications based on Internet of Things. Journal of network and computer applications, no. 97, pp. 48–65. DOI: https://doi.org/10.1016/j.jnca.2017.08.017
Ganesh D. E. N. (2021) Wireless Sensor Network: The Challenges of Design and Programmability. International Journal of Telecommunications & Emerging Technologies, vol. 3, no. 1, pp. 23–34.
Ahmed M. M. et al. (2021) Cost-effective design of IoT-based smart household distribution system. Designs, vol. 5, no. 3, p. 55. DOI: https://doi.org/10.3390/ designs5030055
Sung W. T., Hsiao S. J. (2020) The application of thermal comfort control based on Smart House System of IoT. Measurement, vol. 149. p. 106997. DOI: https://doi.org/10.1016/j.measurement.2019.106997
Younis M. I., Hussein T. F. (2018) Design and Implementation of a Contactless Smart House Network System. International Journal of Electrical & Computer Engineering, vol. 8, no. 6, pp. 4663–4672. DOI: https://doi.org/10.11591/ijece.v8i6
Liashenko O., Barkovska O., Al-Atroshi C., Datsok O., Liashenko S. (2019) Model of the work of the neurocontroller to control fuzzy data from the sensors of the climate control subsystem “smart house”. International Journal of Advanced Trends in Computer Science and Engineering, vol. 8, no. 1, pp. 70–74.
Gazis A., Katsiri E. (2021) Smart home IoT sensors: Principles and applications a review of low-cost and low-power solutions. International Journal on Engineering Technologies and Informatics, vol. 2, no. 1, pp. 19–23. DOI: https://doi.org/10.51626/ijeti.2021.02.00007
Seyam S. (2018) Types of HVAC systems. HVAC System. Pp. 49–66. DOI: https://doi.org/10.5772/intrechopen.78942
Aguilar J. et al. (2019) Autonomic management architecture for multi-HVAC systems in smart buildings. IEEE Access, vol. 7, pp. 123402–123415. DOI: https://doi.org/10.1109/ACCESS.2019.2937639
