A Cloud-Connected Smart Energy Monitoring and Control System Using ESP8266 and Blynk
Keywords:
IoT, Smart Energy Meter, ESP8266, PZEM-004T, Blynk, Energy Monitoring, Carbon Footprint
Abstract
This paper presents a cloud-connected smart energy monitoring solution that enables real-time tracking of electrical parameters such as voltage, current, power, and energy consumption for individual electrical loads in household and small-scale commercial applications. By integrating the ESP8266 NodeMCU microcontroller with a PZEM-004T sensor and relay modules, the system supports both monitoring and automated control functionalities. A key feature is its integration with the Blynk cloud platform, which offers a user-friendly interface for data visualization and remote device interaction. The system also includes automated billing based on usage slabs and carbon footprint estimation to raise awareness of environmental impact. Implementation results show that the system is cost-effective, accurate, and accessible, making it well-suited for promoting energy efficiency and smarter consumption behaviors. The prototype demonstrates a 15% reduction in energy usage (~45 kWh/month), equating to a carbon savings of ~38.25 kg CO₂ per household.
References
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[2] A.-W. Muhammed, V. Oisamoje, H. Amhenrior, E. Evbogbai, V. Abanihi, L. Bello, and C. Obasi, “Design and implementation of an IoT-based home energy monitoring system,” 2022.
[3] P. S. Macheso and D. Thotho, “ESP32 based electric energy consumption meter,” International Journal of Computer Communication and Informatics, vol. 4, no. 1, pp. 23–35, 2022
[4] A. Shukla and R. Diwan, “IoT based load automation with remote access surveillance using ESP32 Cam and ESP8266 module,” Annals of the Romanian Society for Cell Biology, vol. 25, no. 3, pp. 690–870, 2021
[5] O. O. Akintade, T. K. Yesufu, and L. O. Kehinde, “Development of power consumption models for ESP8266-enabled low-cost IoT monitoring nodes,” Advances in Internet of Things, vol. 9, no. 1, pp. 1–20, 2019
[6] P. K. Sebastian and K. Deepa, “Internet of Things based smart energy meter with fault detection feature and theft detection,” in Proc. 2022 Int. Conf. on Electronics and Renewable Systems (ICEARS), pp. 494–500, IEEE, 2022.
[7] A. S. Salunkhe, Y. K. Kanse, and S. S. Patil, “Internet of things based smart energy meter with ESP32 real-time data monitoring,” in Proc. 2022 Int. Conf. on Electronics and Renewable Systems (ICEARS), pp. 446–451, IEEE, 2022..
[8] N. A. Hussien, A. A. D. Al-Magsoosi, H. T. S. Alrikabi, and F. T. Abed, “Monitoring the consumption of electrical energy based on the Internet of Things applications,” International Journal of Interactive Mobile Technologies, vol. 15, no. 7, pp. 4–17, 2021
[9] P. Srivastava, M. Bajaj, and A. S. Rana, “IoT based controlling of hybrid energy system using ESP8266,” in Proc. 2018 IEEMA Engineer Infinite Conf. (eTechNxT), pp. 1–5, IEEE, 2018.
[10] R. Firmansyah, M. Yusuf, P. P. S. Saputra, M. E. Prasetyo, F. M. Mochtar, and F. A. Kurniawan, “IoT based temperature control system using NodeMCU ESP8266,” in Int. Joint Conf. on Science and Engineering (IJCSE), pp. 401–407, Atlantis Press, 2020.
[11] I. G. M. N. Desnanjaya, A. A. S. Pradhana, I. N. T. A. Putra, S. Widiastutik, and I. M. A. Nugraha, “Integrated room monitoring and air conditioning efficiency optimization using ESP-12E based sensors and PID control automation: A comprehensive approach,” Journal of Robotics and Control (JRC), vol. 4, no. 6, pp. 832–839, 2023.
[12] R. I. Pereira, S. C. Jucá, and P. C. Carvalho, “IoT embedded systems network and sensors signal conditioning applied to decentralized photovoltaic plants,” Measurement, vol. 142, pp. 195–212, 2019.
[13] C. Z. I. Arnob, N. S. Mitra, A. B. H. Saad, M. T. Alam, M. Islam, and A. N. Huda, “Smart load monitoring and controlling approach connected to solar system using ESP32 and Blynk,” in Proc. 2022 Int. Conf. on Energy and Power Engineering (ICEPE), pp. 1–5, IEEE, 2022.
[14] A. Swart, “Cost-effective remote energy monitoring using the ESP8266 NodeMCU,” International Journal of Recent Technology and Engineering, vol. 7, pp. 974–979, 2019
[15] J. Pan, R. Jain, S. Paul, T. Vu, A. Saifullah, and M. Sha, “An Internet of Things framework for smart energy in buildings: Designs, prototype, and experiments,” IEEE Internet of Things Journal, vol. 2, no. 6, pp. 527–537, Dec. 2015.
[16] F. Condon, J. M. Martínez, A. M. Eltamaly, Y.-C. Kim, and M. A. Ahmed, “Design and implementation of a Cloud-IoT-based home energy management system,” Sensors, vol. 23, no. 1, p. 176, 2023.
[17] Q. Yang and H. Wang, “Privacy-preserving transactive energy management for IoT-aided smart homes via blockchain,” IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11463–11475, Jul. 2021.
Published
2025-09-06
How to Cite
Dr. G. Jeevagan Navukarasu Lenin, Dr.P.Ramesh, & Dr.P.Ramesh. (2025). A Cloud-Connected Smart Energy Monitoring and Control System Using ESP8266 and Blynk. Revista Electronica De Veterinaria, 25(1), 4192-4200. https://doi.org/10.69980/redvet.v25i1.2155
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