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Advisor(s)
Abstract(s)
O aumento da demanda por energia, juntamente com a crescente preocupação com as
mudanças climáticas, tem gerado um interesse crescente em fontes de energia renovável e
comunidades energéticas como uma forma de descentralizar a geração de energia. A gestão de
uma comunidade de energia renovável com acesso a um sistema central de armazenamento
requer algoritmos que assegurem uma distribuição e armazenamento eficiente e equitativo da
energia.
Nesta dissertação, propomos um novo algoritmo para gerir comunidades de energia que
contam com um sistema central de armazenamento de energia. O nosso objetivo é demonstrar
a eficácia deste algoritmo na redução dos custos de energia e na promoção do uso sustentável
de energia numa comunidade de energia simulada.
O algoritmo foi aplicado a um estudo de caso envolvendo uma comunidade de energia
renovável composta por dez residências distintas, algumas produtoras e outras apenas
consumidoras de energia, e um sistema de armazenamento central. Os resultados indicaram
que o algoritmo foi eficaz na redução dos custos de energia na maioria dos casos, além de
promover o uso sustentável de energia na referida comunidade, como previsto nos objetivos
propostos.
Como sugestão para futuras pesquisas, recomendamos a continuação do estudo de
comunidades de energia renovável. Essa pesquisa deve incluir comunidades com composições
diversas, fazendo uso de diferentes fontes de energia, bem como edifícios com funções variadas,
tais como escolas, bibliotecas e tribunais, a fim de produzir cenários mais realistas e
abrangentes.
Increasing demand for energy, coupled with growing concerns about climate change, has generated growing interest in renewable energy sources and energy communities as a way to decentralize energy generation. Managing a renewable energy community with access to a central storage system requires algorithms that ensure efficient and equitable distribution and storage of energy. In this dissertation, we propose a new algorithm to manage energy communities that rely on a central energy storage system. Our goal is to demonstrate the effectiveness of this algorithm in reducing energy costs and promoting sustainable energy use in a simulated energy community. The algorithm was applied to a case study involving a renewable energy community made up of ten different homes, some producing and others just consuming energy, and a central storage system. The results indicated that the algorithm was effective in reducing energy costs in most cases, in addition to promoting the sustainable use of energy in that community, as foreseen in the proposed objectives. As a suggestion for future research, we recommend continuing the study of renewable energy communities. This research should include communities with diverse compositions, making use of different energy sources, as well as buildings with varying functions, such as schools, libraries and courts, in order to produce more realistic and comprehensive scenarios.
Increasing demand for energy, coupled with growing concerns about climate change, has generated growing interest in renewable energy sources and energy communities as a way to decentralize energy generation. Managing a renewable energy community with access to a central storage system requires algorithms that ensure efficient and equitable distribution and storage of energy. In this dissertation, we propose a new algorithm to manage energy communities that rely on a central energy storage system. Our goal is to demonstrate the effectiveness of this algorithm in reducing energy costs and promoting sustainable energy use in a simulated energy community. The algorithm was applied to a case study involving a renewable energy community made up of ten different homes, some producing and others just consuming energy, and a central storage system. The results indicated that the algorithm was effective in reducing energy costs in most cases, in addition to promoting the sustainable use of energy in that community, as foreseen in the proposed objectives. As a suggestion for future research, we recommend continuing the study of renewable energy communities. This research should include communities with diverse compositions, making use of different energy sources, as well as buildings with varying functions, such as schools, libraries and courts, in order to produce more realistic and comprehensive scenarios.
Description
Keywords
Comunidades de Energia Comunidades de Energia Renovável Energias Renováveis Sistema de Armazenamento Sistema de Armazenamento Central