Software para análise do enquadramento tarifário e otimização de contrato de demanda para unidades consumidoras do grupo A

Abstract

The increasing demand for electricity requires efficient management of energy resources, aiming at cost reduction and minimizing environmental impact. In the context of group A consumer units, the lack of specific tools can result in inappropriate tariff classification and demand contracts. This work aims to develop software for tariff classification analysis and demand contract optimization for group A consumer units. The software, developed in the Python programming language using the QtDesigner framework with the help of the PyQt5 library, seeks to fill this gap, allowing managers to analyze tariff classification, identify opportunities for demand contract optimization, and perform simulations to determine the optimal contracted demand and make informed decisions based on feasible data. Simulations were conducted on two consumer units, a market and a university. The software verified the use of tariff classification for the blue and green hourly tariff modalities according to the consumer unit's tariff subgroup and indicated that both units remained in the green tariff modality. The optimal contracted demand for the market was reduced from 170 kW to 132 kW, resulting in a 2.17% cost savings in electricity expenses. For the university, the contracted demand was reduced from 450 kW to 357 kW, generating a 2.02% savings in electricity expenses. The software provides tables and graphs that assist consumer unit managers in making informed decisions regarding appropriate tariff classification.