Aplicativo de gestão energética do consumidor com base nos dados de medidores inteligentes em smart grid

• Autor(a) principal: Karpovisch, Ana Helena
• Data de Publicação: 2020
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório do Centro Universitário Braz Cubas
• Texto Completo: https://repositorio.cruzeirodosul.edu.br/handle/123456789/3220
• topic: Simulador Tarifário; Informações Energéticas; Aplicativo de Gestão Energética; Smart Grid; CNPQ::ENGENHARIAS

The technologies of the world have been growing at an accelerated pace and, as a result, the energy demand is also growing. Seeking greater reliability of the electric grid, the concept of smart grids and distributed generation has been disseminated, together with more efficient sources of energy and equipment and more conscious use. Seeking to reduce electricity consumption during peak hours, energy concessionaires have different rates that have a higher cost during this period, but a lower cost during off-peak hours. This work proposes an application to simulate Copel's tariffs, returning to the low-voltage residential user what is the best tariff alternative for him, in addition to a comparison of the consumption pattern for guidance and creation of personal limits or expectations. The basis for this comparison was made with data from the Ipiranga’s smart grid, with information collected over 90 days. The application has an interface that presents information regarding energy tariffs, types of consumers, light bulbs, and tips for reducing the electric bill. The prototype was developed on Microsoft's PowerApps online platform, which allows low code development. In the simulations carried out, the application was fed with data related to charges existing in the residence, allowing the consumer to view the total consumption, its average consumption, based on the latest simulations, the costs in the white and conventional tariff and the equipment with the highest consumption. In addition, the best tariff option is still returned to the user, if their average consumption is above or below the SG average – 131,9 kWh - and the page features a button that takes them to a page containing tips for reducing consumption. Using data from the consumer units of Ipiranga’s SG for tariff simulation, according the methodology of the work, it was concluded that the five units must use conventional tariff.