Intelligent Systems as Tools for Measuring Residential Energy Consumption

Danilo Silva dos  Santos; Fabiana Rocha  Pinto; Felipe Silva dos  Santos

doi:10.31686/ijier.vol7.iss11.1873

Authors

Danilo Silva dos Santos University Center FAMETRO
Fabiana Rocha Pinto University Center FAMETRO
Felipe Silva dos Santos Foundation Center for Research Analysis and Technological Innovation FUCAPI

DOI:

https://doi.org/10.31686/ijier.vol7.iss11.1873

Abstract views: 173 /

PDF downloads: 205

Keywords:

Energy Efficiency, IoT, Arduino, MQTT Protocol, Blynk Platform

Abstract

The implementation of intelligent systems in homes for measuring energy consumption are possibilities that owe their viability to the IoT (Internet of Things and investments in R&D). Becoming fundamental for this change in the way of thinking and using electric power in households, buildings and especially in industry 4.0. The present work demonstrates an experiment focused on a residence for the analysis of energy consumption measurement, with the use of a nano arduino plate, current and voltage sensors, internet connection and use of the MQTT protocol making the integration in the Blynk platform. Obtaining as results voltage approximately 224V, electric current close to 3.89A, 356 points of samples for measurement of consumption and 255 points for preparation of graphs. Minimums for voltage and current 207.75V and 0.62A respectively and maximums 233.22V and 25.31A. A standard deviation of 5.54 for voltage and 3.33 for current. Analyses performed by Blynk, from estimates by mathematical modeling, considered by means of tests and it was observed that the behavior of current and voltage signals are close to the realities of energy distributors.

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Author Biographies

Danilo Silva dos Santos, University Center FAMETRO

Graduating of the Bachelor's degree in electrical engineering
Fabiana Rocha Pinto, University Center FAMETRO

Professor and Counselor of the Bachelor's Degree in electrical engineering
Felipe Silva dos Santos, Foundation Center for Research Analysis and Technological Innovation FUCAPI

Professor of the Bachelor's Degree in Mechanical Engineering

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