Plano de eficiência energética no campus Medianeira da Universidade Tecnológica Federal do Paraná

Abstract

Faced with the increase in electricity consumption in recent years and the scarcity of water resources for the construction of new hydroelectric plants, companies have become more concerned with the efficient use of their resources. Thus, the objective of this work was a case study to propose an action plan for the energy management system at the Universidade Tecnológica Federal do Paraná campus Medianeira. Its methodology was based on ISO 50.001, in which the energy profile of the university was analyzed, belonging to group A with a seasonal green hourly rate, that is, with a single contracted demand and with charging at peak and off­peak consumption. At first, it was observed that during the years 2018 and 2019 fines were paid for exceeding demand, which leads to a need to adjust the contract. Approaching the equipment installed on the campus, focusing on those that represent greater consumption such as refrigeration, lighting, motors and electronics, and correlating with the billed energy consumption, it was possible to estimate the consumption in each block. In this way, it was possible to conclude that the blocks that consume the most energy are the university restaurant, block A and block L1. With the data available, it was possible to find the energy consumption ratio per student on the campus, where the indicator in the first half of 2018 was reached with 40.13 kWh/student and in the second half there was an increase in the indicator, being it 41.30 kWh/students, this pattern is repeated for 2019 and it is still urged that it will repeat in 2022. Based on the analyzes carried out, the action plan presented to the institution is reached, with the proposal of having a daily monitoring of its energy consumption, educational campaign, periodic dissemination of indicators and audits. Another proposal delivered was the dashboard of indicators made in the Excel spreadsheet, with the use of dynamic tables to be able to analyze the graphs of energy consumption, demand, consumption per block, manage the action plans and monitor the operational performance of each block.