Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/4779
Título: Intelligent predictive control for thermal comfort and energy savings in public buildings
Autor: Ruano, A. E.
Palavras-chave: Intelligent and soft computing techniques
Data: 2012
Citação: Ruano, Antonio Eduardo de Barros. Intelligent Predictive Control for Thermal Comfort and Energy Savings in Public Buildings, Trabalho apresentado em International Conference on Global Research and Education (INTER-ACADEMIA 2012), In Proceedings of the International Conference on Global Research and Education, Budapeste, 2012.
Resumo: This talk addresses the problem of controlling a heating ventilating and air conditioning system with the purpose of achieving a desired thermal comfort level and energy savings. The formulation uses the thermal comfort, assessed using the predicted mean vote (PMV) index, as a restriction and minimises the energy spent to comply with it. This results in the maintenance of thermal comfort and on the minimisation of energy, which in most operating conditions are conflicting goals requiring some sort of optimisation method to find appropriate solutions over time.
Peer review: yes
URI: http://hdl.handle.net/10400.1/4779
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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