A carregar...
Publicação
Otimização do Consumo de Energia por recurso a Técnicas de Computação Evolucionária
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 15.13 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Os edifícios, residenciais ou associados a serviços, compõem uma grande porção do consumo
de eletricidade em Portugal e continuam a ter um grande potencial para o aumento
de eficiência energética. Por outro lado, as alterações climáticas são um assunto cada vez
mais premente e, como tal, surgem vários esforços na tentativa de diminuir os efeitos
negativos que a sociedade tem sobre o ambiente. Um dos fatores que contribui para esta
diminuição é a implementação de medidas que visam o aumento da eficiência energética.
Com vista a aumentar a eficiência energética pela diminuição do consumo de energia
elétrica, foi implementado na presente dissertação, um sistema de controlo de iluminação
por recurso a técnicas de computação evolucionária, pela sua capacidade de resolução
de problemas multiobjetivo. Este sistema permitiu alcançar vários objetivos simultaneamente,
nomeadamente a diminuição do consumo de energia e a manutenção do conforto
para o utilizador.
O sistema foi implementado no Departamento de Engenharia Eletrotécnica e de Computadores
da NOVA School of Science and Technology, onde teve a capacidade de controlar
a iluminação artificial num determinado espaço, de modo a obter consumos mais
baixos, mantendo o nível de iluminância necessário de acordo com as necessidades do
mesmo.
Buildings, residential or service related, make up a large share of electricity consumption in Portugal while still having a great potential for increased efficiency. On the other hand, climate change is an increasingly pressing issue and, as such, various efforts are being made to reduce the negative effects that society has on the environment. One of the factors contributing to this decrease is the implementation of energy efficiency measures. In order to increase energy efficiency by reducing consumption, in this dissertation a lighting control system was developed, using evolutionary computing techniques, due to its multiobjective problem solving capability. This system allows the achievement of several objectives simultaneously, namely the reduction of energy consumption and mantaining comfort for the user. This system was implemented within the Department of Electrical and Computer Engineering at NOVA School of Science and Technology, where it had the capability to control the lamps in a certain space, in order to obtain lower electricity consumption while maintaining the necessary level of illuminance according to its needs.
Buildings, residential or service related, make up a large share of electricity consumption in Portugal while still having a great potential for increased efficiency. On the other hand, climate change is an increasingly pressing issue and, as such, various efforts are being made to reduce the negative effects that society has on the environment. One of the factors contributing to this decrease is the implementation of energy efficiency measures. In order to increase energy efficiency by reducing consumption, in this dissertation a lighting control system was developed, using evolutionary computing techniques, due to its multiobjective problem solving capability. This system allows the achievement of several objectives simultaneously, namely the reduction of energy consumption and mantaining comfort for the user. This system was implemented within the Department of Electrical and Computer Engineering at NOVA School of Science and Technology, where it had the capability to control the lamps in a certain space, in order to obtain lower electricity consumption while maintaining the necessary level of illuminance according to its needs.
Descrição
Palavras-chave
Sistema de Controlo Eficiência Energética Iluminação Computação Evolucionária