SISTEMA INTELIGENTE PARA DIAGNÓSTICO DA QUALIDADE DE ENERGIA EM EDIFICAÇÕES EDUCACIONAIS: ESTUDO DE CASO NO IF GOIANO

Abstract

Energy efficiency has assumed a strategic role in the Brazilian scenario, particularly in public educational institutions that present diverse loads, high user traffic, and a growing demand for technological infrastructure. In this context, this Final Course Project carried out an energy diagnosis in the Electrical Engineering laboratory block at IF Goiano Campus Trindade, focusing on evaluating the quality of electrical energy and identifying opportunities for improvement. The methodology adopted combined a literature review, normative analysis based on PRODIST (Electrical Energy Distribution Procedures) Module 8, experimental measurements using the Mi Energy energy analyzer, and computational data processing using Python. The monitored parameters included effective voltage, frequency, power factor, and, for power quality analysis, the total harmonic distortion (THD) of voltage (V) will be analyzed, totaling 1,008 samples recorded between November 6th and 13th, 2025. The results demonstrated that the installation operates within normative limits, with THD of less than 10% and stable voltage, indicating good system performance and low impact from non-linear loads. The analysis also revealed the presence of a predominantly capacitive power factor, indicating the need for adjustments in the reactive compensation system. The study concludes that continuous power quality monitoring is an essential tool for institutional energy management, allowing the identification of hidden losses, preventing failures, reducing costs, and strengthening sustainability policies. Therefore, the findings of this work contribute both to improving energy efficiency at IF Goiano and to the academic development of solutions applied to the electricity sector.