AUTOMATION AND ENERGY OPTIMIZATION OF AIR CONDITIONING SYSTEMS VIA CENTRALIZED CONTROL WITH IOT DEVICES

Authors

  • Leandro Ferrarezi Valiante Author
  • Ricardo Bussons da Silva Author

DOI:

https://doi.org/10.56238/arev7n10-109

Keywords:

Internet of Things, ESP32, Air Conditioning Control, Energy Efficiency, Automation

Abstract

This paper presents the development and implementation of a centralized control system for air conditioning units in an educational institution, using low-cost Internet of Things (IoT) devices based on the ESP32 microcontroller. The solution integrates infrared emitters and receivers to replicate the devices' original commands, connected to a web platform for monitoring, scheduling, and remote activation. The system makes periodic HTTP requests to the server, which verifies compliance between the desired and actual status, resending commands when necessary to ensure synchronization. The methodology included a technical survey of the devices, assembly and programming of the modules, physical installation in the environment, and development of the web interface with a backend and relational database. This database stores device identifiers, infrared codes, and execution schedules, ensuring scalability and traceability of actions. The results demonstrate that the combination of affordable hardware and simple communication protocols can offer efficient solutions for automation and HVAC management in educational environments. Despite limitations, such as Wi-Fi network dependence and line-of-sight requirements for IR transmission, the system demonstrated significant potential for energy savings, improved thermal comfort, and future expansion with additional sensors and support for multiple protocols.

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References

ALVES, A. A. et al. Development of an Internet of Things System for Smart Home HVAC Monitoring and Control. In: Sustainable Energy for Smart Cities. Cham: Springer, 2020. p. 183–194. DOI: 10.1007/978-3-030-45694-8_15.

AZEVEDO, M. et al. Energy savings by energy management systems: A review. Renewable and Sustainable Energy Reviews, v. 56, p. 129–135, 2016.

BANDYOPADHYAY, D.; SEN, J. Internet of Things: Applications and Challenges in Technology and Standardization. Wireless Personal Communications, v. 58, n. 1, p. 49–69, 2011. Disponível em: https://arxiv.org/abs/1105.1693.

CARLI, R. et al. IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings. Sensors, v. 20, n. 3, p. 781, 2020. DOI: 10.3390/s20030781.

FAUCHIER-MAGNAN, N.; MOREJOHN, J.; PRITONI, M. A low-cost centralized HVAC control system solution for energy savings in institutional buildings. In: Proceedings of the ACEEE Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA: ACEEE, 2022.

IEA – International Energy Agency. The Future of Cooling: Opportunities for energy-efficient air conditioning. Paris: IEA, 2018.

IPCC – Intergovernmental Panel on Climate Change. AR6 Synthesis Report – Summary for Policymakers. Geneva: IPCC, 2023.

IPCC – Intergovernmental Panel on Climate Change. Mitigation of Climate Change – Chapter 9: Buildings. Geneva: IPCC, 2022.

PARK, R. J.; GOODMAN, J.; HURWITZ, M. Heat and learning. American Economic Journal: Economic Policy, v. 12, n. 2, p. 306–339, 2020.

W3C. Web of Things: Building Blocks and Thing Description. W3C Recommendation, 2025. Disponível em: https://www.w3.org/WoT/.

WEI, T. et al. Reinforcement Learning-Based BEMS Architecture for Energy Management in Buildings. Sensors, v. 20, n. 9, p. 1–17, 2020.

WIKIPEDIA. Remote control. 2025a. Disponível em: https://en.wikipedia.org/ wiki/Remote_control.

WIKIPEDIA. Consumer IR. 2025b. Disponível em: https://en.wikipedia.org/ wiki/Consumer_IR.

WHO – World Health Organization. Climate change, heat and health – Fact sheet. Geneva: WHO, 2024.

ZENATIX. How IoT is making HVAC smart and energy-efficient. 2022. Disponível em: https://zenatix.com/how-iot-is-making-hvac-smart-and-energy-efficient/.

Published

2025-10-14

Issue

Section

Articles

How to Cite

VALIANTE, Leandro Ferrarezi; DA SILVA, Ricardo Bussons. AUTOMATION AND ENERGY OPTIMIZATION OF AIR CONDITIONING SYSTEMS VIA CENTRALIZED CONTROL WITH IOT DEVICES. ARACÊ , [S. l.], v. 7, n. 10, p. e8921, 2025. DOI: 10.56238/arev7n10-109. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/8921. Acesso em: 8 dec. 2025.