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dc.creatorGutiérrez-González, V. (Vicente)-
dc.creatorRamos-Ruiz, G. (Germán)-
dc.creatorFernández-Bandera, C. (Carlos)-
dc.date.accessioned2020-10-23T08:04:48Z-
dc.date.available2020-10-23T08:04:48Z-
dc.date.issued2020-
dc.identifier.citationGutiérrez-González, V. (V.); Ramos-Ruiz, G. (Germán); Fernández-Bandera, C. (Carlos). "Empirical and comparative validation for a building energy model calibration methodology". Sensors. 20 (17), 2020, 5003es
dc.identifier.issn1424-8220-
dc.identifier.urihttps://hdl.handle.net/10171/59564-
dc.description.abstractThe digital world is spreading to all sectors of the economy, and Industry 4.0, with the digital twin, is a reality in the building sector. Energy reduction and decarbonization in buildings are urgently required. Models are the base for prediction and preparedness for uncertainty. Building energy models have been a growing field for a long time. This paper proposes a novel calibration methodology for a building energy model based on two pillars: simplicity, because there is an important reduction in the number of parameters (four) to be adjusted, and cost-effectiveness, because the methodology minimizes the number of sensors provided to perform the process by 47.5%. The new methodology was validated empirically and comparatively based on a previous work carried out in Annex 58 of the International Energy Agency (IEA). The use of a tested and structured experiment adds value to the results obtained.-
dc.language.isoen-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/731211/EU-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectBuilding energy models (BEMs)-
dc.subjectCalibration-
dc.subjectEnergy simulation-
dc.subjectSensors saving-
dc.subjectCalibrated model validation-
dc.subjectMethodology-
dc.titleEmpirical and comparative validation for a building energy model calibration methodology-
dc.typeinfo:eu-repo/semantics/article-
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/20/17/5003-
dc.identifier.doihttps://doi.org/10.3390/s20175003-
dadun.citation.number17-
dadun.citation.publicationNameSensors-
dadun.citation.startingPage5003-
dadun.citation.volume20-

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