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Publicação
PLATAFORMA DE GESTÃO DE ENERGIA DE UM EDÍFICIO
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Orientador(es)
Resumo(s)
Atualmente, cada vez mais equipamentos elétricos são utilizados nas habitações, o que implica um maior gasto de energia, derivado de um maior consumo energético. Para colmatar o consumo energético de forma sustentável, existem tecnologias como os painéis solares e sistemas de armazenamento de energia. O desafio está em tirar o máximo de proveito destas tecnologias para reduzir a energia gasta numa habitação e, consequentemente, a sua pegada ecológica. A solução proposta neste trabalho é uma aplicação de gestão de consumos, que permite ao utilizador inserir a informação personalizada da sua habitação, como a localização, a potência instalada de painéis fotovoltaicos, o sistema de armazenamento de energia e os equipamentos presentes na habitação. Foi implementado um algoritmo de alocação de cargas, cujas variáveis são a produção fotovoltaica, a energia na bateria e o consumo diário, e atua sobre os equipamentos com maior consumo, isto é, a máquina de lavar a roupa, secar a roupa, lavar a loiça e o carregador de veículo elétrico. A aplicação aconselhará o utilizador sobre qual a melhor hora para usar cada um destes equipamentos, fazendo com que a habitação gaste o menos de energia possível num dia. Com os resultados obtidos, concluiu-se que ter um sistema de armazenamento de energia será benéfico para diminuir a quantidade de energia consumida numa habitação, especialmente se o utilizador pretender usar equipamentos em horas onde a produção fotovoltaica é nula. Contudo, o ideal para poupar o máximo de energia numa residência, é alocar os equipamentos para quando a produção fotovoltaica satisfaz o seu consumo, com o auxílio de um algoritmo de alocação de cargas.
Currently, more and more electrical equipment is used in homes, which implies greater energy expenditure, resulting from greater energy consumption. To meet energy consumption in a sustainable way, there are technologies such as solar panels and energy storage systems. The challenge is to make the most of these technologies to reduce the energy used in a home and, consequently, its ecological footprint. The solution proposed in this work is a consumption management application, which allows the user to enter personalized information about their home, such as location, the installed power of photovoltaic panels, the energy storage system and the equipment present in the home. A load allocation algorithm was implemented, whose variables are photovoltaic production, battery energy and daily consumption, and acts on the equipment with the highest consumption, that is, the washing machine, drying machine, washing the dishes and the electric vehicle charger. The application will advise the user on the best time to use each of these devices, ensuring that the home uses as little energy as possible in a day. After several simulations, it was concluded that having an energy storage system will be beneficial to reduce the amount of energy consumed in a home, especially if the user intends to use equipment in hours where photovoltaic production is zero. However, the ideal way to save the most energy in a home is to allocate equipment to when photovoltaic production satisfies the consumption, with the help of a load allocation algorithm.
Currently, more and more electrical equipment is used in homes, which implies greater energy expenditure, resulting from greater energy consumption. To meet energy consumption in a sustainable way, there are technologies such as solar panels and energy storage systems. The challenge is to make the most of these technologies to reduce the energy used in a home and, consequently, its ecological footprint. The solution proposed in this work is a consumption management application, which allows the user to enter personalized information about their home, such as location, the installed power of photovoltaic panels, the energy storage system and the equipment present in the home. A load allocation algorithm was implemented, whose variables are photovoltaic production, battery energy and daily consumption, and acts on the equipment with the highest consumption, that is, the washing machine, drying machine, washing the dishes and the electric vehicle charger. The application will advise the user on the best time to use each of these devices, ensuring that the home uses as little energy as possible in a day. After several simulations, it was concluded that having an energy storage system will be beneficial to reduce the amount of energy consumed in a home, especially if the user intends to use equipment in hours where photovoltaic production is zero. However, the ideal way to save the most energy in a home is to allocate equipment to when photovoltaic production satisfies the consumption, with the help of a load allocation algorithm.
Descrição
Palavras-chave
Consumo energético Produção fotovoltaica Sistema de armazenamento de energia Alocação de cargas Suporte à decisão