Development of a Self-Calibrated Embedded System for Energy Management in Low Voltage

Abstract

Due to the growing concern and search for energy sustainability, there has been an increase in recent years in solutions in the area of energy management and efficiency related to the Internet of Things (IoT), the home energy management system (HEMS), and the building energy management system (BEMS). The availability of the energy consumption pattern in real time is part of the necessity presented by this research. It is essential for perceiving and understanding the savings opportunities. In this context, this manuscript presents the development of a self-calibrated embedded system to measure, monitor, control, and forecast the consumption of electrical loads, enabling the improvement of energy efficiency through the management of loads performed by the demand side. The validation of the produced device was performed by comparing the readings of the device with the readings obtained through the evaluation system of the integrated circuit manufacturer ADE9153A®, Analog Devices® purchased in Brazil. The result obtained with the developed device featured errors smaller than ±0.1%, which were in addition smaller than ±1% with respect to the full scale, thus proving to be a viable solution for the proposed application.

Hotspots and Tendencies of Energy Optimization Based on Bibliometric Review

“…It is necessary for seeing and comprehending the savings possibilities. From this perspective, this paper describes the creation of an embedded system calibrated by itself for monitoring, measuring, controlling, and forecasting the consumption of electrical loads, allowing for increased energy efficiency through the handling of demand-side loads [7].…”