Show simple item record

dc.contributor.authorBienvenido Huertas, David
dc.contributor.authorMoyano Campos, Juan José
dc.contributor.authorRodríguez Jiménez, Carlos Eugenio
dc.contributor.authorMarín García, David
dc.date.accessioned2021-01-31T18:19:59Z
dc.date.available2021-01-31T18:19:59Z
dc.date.issued2019
dc.identifier.citationBienvenido Huertas, D., Moyano Campos, J. J., Rodríguez Jiménez, C. E., Marín García, D. (2019). Applying an artificial neural network to assess thermal transmittance in walls by means of the thermometric method. Applied Energy, 233-234, 1-14.es
dc.identifier.issn3062619
dc.identifier.urihttp://hdl.handle.net/20.500.12251/1579
dc.description.abstractMost of the existing building stock has a deficient energy behaviour. The thermal transmittance of façades is among those aspects which most affect this situation. In this paper, the calculation procedure with correction for storage effects from ISO 9869-1 was applied to the thermometric method to determine the U-value. Due to the need for determining the number and type of layers that compose the wall to apply the calculation, a multilayer perceptron has been developed to estimate the U-value. From the different model configurations suggested, the most adequate architecture was the one with 14 nodes in the hidden layer without making transformations in the input variables. Valid results have been obtained by the multilayer perceptron for the case studies analysed from different building periods, with deviations lower than 20% between the measured value and the expected one, varying the test duration according to the thermal resistance of the wall and the temperature variations. Furthermore, it is not necessary to carry out a data post-processing for the model, so this fact simplifies and hastens the calculation procedure. © 2018 Elsevier Ltden
dc.language.isoeng
dc.publisherElsevier Ltdes
dc.titleApplying an artificial neural network to assess thermal transmittance in walls by means of the thermometric methoden
dc.typearticle
dc.identifier.doi10.1016/j.apenergy.2018.10.052
dc.journal.titleApplied Energyes
dc.page.initial1
dc.page.final14
dc.subject.keywordComportamiento térmicoes
dc.subject.keywordTransmitancia térmicaes
dc.subject.keywordFachadases
dc.subject.keywordPerceptrón multicapaes
dc.subject.keywordModelo de evaluaciónes
dc.subject.keywordPropiedades térmicases
dc.subject.unesco3305.14 Viviendases
dc.subject.unesco3305.90 Transmisión de Calor en la Edificaciónes
dc.subject.unesco3311.16 Instrumentos de Medida de la Temperaturaes
dc.volume.number233-234


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record