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Neural network PMV estimation for model-based predictive control of HVAC systems

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dc.contributor.authorFerreira, P. M.
dc.contributor.authorSilva, S. M.
dc.contributor.authorRuano, Antonio
dc.contributor.authorNegrier, Aldric T.
dc.contributor.authorConceição, Eusébio
dc.date.accessioned2013-01-30T14:25:09Z
dc.date.available2013-01-30T14:25:09Z
dc.date.issued2012
dc.date.updated2013-01-26T16:16:41Z
dc.description.abstractHeating, Ventilating and Air Conditioning (HVAC)systems are used to provide adequate comfort to occupants of spaces within buildings. One important aspect of comfort, the thermal sensation, is commonly assessed by computation of the Predicted Mean Vote (PMV) index. Model-based predictive control may be applied to HVAC systems in existing buildings in order to provide a desired degree of thermal comfort and simultaneously achieve significant energy savings. This control strategy may be formulated as a discrete optimisation problem and solved by means of structured search techniques. Finding the optimal solution depends on the ability of computing many PMV values in a small amount of time. As the PMV formulation involves iterative computations consuming variable time, it is crucial to have a method for fast, possibly constant execution time, computation of the PMV index. In this paper it is experimentally shown that an Artificial Neural Network (ANN) can estimate the PMV index with varying degrees of efficiency over the trade-off of accuracy versus computational speed-up.por
dc.identifier.citationFerreira, Pedro M.; Silva, Sergio M.; Ruano, Antonio E.; Negrier, Aldric T.; Conceicao, Eusebio Z. E. Neural network PMV estimation for model-based predictive control of HVAC systems, Trabalho apresentado em 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane), In Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, 2012.por
dc.identifier.doihttp://dx.doi.org/10.1109/IJCNN.2012.6252365
dc.identifier.isbn978-1-4673-1490-9
dc.identifier.otherAUT: ARU00698; ECO01058;
dc.identifier.urihttp://hdl.handle.net/10400.1/2144
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleNeural network PMV estimation for model-based predictive control of HVAC systemspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBrisbane, Australiapor
oaire.citation.endPage22por
oaire.citation.startPage15por
oaire.citation.title2012 International Joint Conference on Neural Networks (IJCNN)por
person.familyNameRuano
person.familyNameConceição
person.givenNameAntonio
person.givenNameEusébio
person.identifier.ciencia-id6317-FB21-9671
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0001-5963-2107
person.identifier.ridB-4135-2008
person.identifier.ridI-7931-2015
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id6603299150
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublicationbd0b4c3b-bd28-4e29-ab0b-1ac167828d7f
relation.isAuthorOfPublication.latestForDiscoverybd0b4c3b-bd28-4e29-ab0b-1ac167828d7f

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