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

Eder Andrade da Silva, Carlos Alejandro Urzagasti, Joylan Nunes Maciel, Jorge Javier Gimenez Ledesma, Marco Roberto Cavallari and Oswaldo Hideo Ando Junior
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Eder Andrade da Silva: Latin American Institute of Technology, Infrastructure and Territory (ILATIT), Federal University of Latin American Integration (UNILA), Foz do Iguaçu 85867-000, PR, Brazil
Carlos Alejandro Urzagasti: Latin American Institute of Technology, Infrastructure and Territory (ILATIT), Federal University of Latin American Integration (UNILA), Foz do Iguaçu 85867-000, PR, Brazil
Joylan Nunes Maciel: Latin American Institute of Technology, Infrastructure and Territory (ILATIT), Federal University of Latin American Integration (UNILA), Foz do Iguaçu 85867-000, PR, Brazil
Jorge Javier Gimenez Ledesma: Latin American Institute of Technology, Infrastructure and Territory (ILATIT), Federal University of Latin American Integration (UNILA), Foz do Iguaçu 85867-000, PR, Brazil
Marco Roberto Cavallari: Research Group on Energy & Energy Sustainability (GPEnSE), Pernambuco 54518-430, PE, Brazil
Oswaldo Hideo Ando Junior: Latin American Institute of Technology, Infrastructure and Territory (ILATIT), Federal University of Latin American Integration (UNILA), Foz do Iguaçu 85867-000, PR, Brazil

Energies, 2022, vol. 15, issue 22, 1-21

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.

Keywords: energy meter; energy savings; IOT; self-calibrated; load forecasting; building energy management system (BEMS); home energy management system (HEMS) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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