Development of an automatic energy monitoring and load scheduling system with internet of things (IOT) for office application

Abstract

This article addresses the pressing issue of energy inefficiency in office environments, primarily caused by unmonitored devices like printers and computers. To optimize energy consumption and reduce costs, hence, this article developed an IoT-based system for automatic energy monitoring and load scheduling. The methodology involved assessing the location's load requirements, calculating solar inverter specifications, and designing a control system for energy management. The system utilizes sensors to monitor battery voltage and inverter current, providing real-time data for intelligent decision-making. An Arduino processes raw sensor data, while an ESP32 handles IoT functionalities, ensuring efficient data management and communication. Advanced load scheduling algorithms were implemented to balance user comfort with energy efficiency, considering peak hours and user preferences. The system was successfully deployed on a solar inverter and evaluated, resulting in a significant 35.5 % reduction in energy consumption. This article offers a scalable and effective solution for modern office energy management. By adopting this system, organizations can significantly reduce their energy consumption, contribute to environmental sustainability, and optimize operational costs.