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Evaluation and Parametric Optimization of the Heating Load and Comfort Conditions in a School Building

dc.contributor.authorAlmeida, Ricardo
dc.contributor.authorFreitas, Vasco Peixoto
dc.date.accessioned2013-12-02T18:23:44Z
dc.date.available2013-12-02T18:23:44Z
dc.date.issued2011-06
dc.description.abstractThis paper presents a study on the performance of a school building and on how to improve it. For that five construction elements properties were analysed: the heat transfer coefficient of external walls, roof, and windows, the total solar energy transmittance of windows and the air change rate. The school building behaviour was evaluated by means of two performance functions, one related with the annual heating load and the other with the thermal discomfort due to overheating. Since the calculation of these functions involves the annual simulation of the buildings, and this is a very time consuming procedure, it is almost impossible to perform this type of study on a direct manner. To overlap this issue, Artificial Neural Networks were trained and then used to approximate the functions.por
dc.identifier.urihttp://hdl.handle.net/10400.19/1925
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectBuilding simulationpor
dc.subjectEnergy efficiencypor
dc.subjectThermal comfortpor
dc.subjectArtificial neural networkspor
dc.titleEvaluation and Parametric Optimization of the Heating Load and Comfort Conditions in a School Buildingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceTampere, Finlandpor
oaire.citation.title9th Nordic Symposium on Building Physics in the Nordic Countriespor
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

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