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Use of a numerical weather prediction model as a meteorological source for building thermal simulations
dc.contributor.author | López Gómez, Javier | |
dc.contributor.author | Troncoso Pastoriza, Francisco | |
dc.contributor.author | Arce Fariña, Elena | |
dc.contributor.author | Eguía, Pablo | |
dc.contributor.author | Granada, Enrique | |
dc.date.accessioned | 2024-01-19T17:51:21Z | |
dc.date.available | 2024-01-19T17:51:21Z | |
dc.date.issued | 2020-07-15 | |
dc.identifier.citation | López Gómez, J., Troncoso Pastoriza, F., Fariña, E. A., Eguía Oller, P., & Granada Álvarez, E. (2020). Use of a numerical weather prediction model as a meteorological source for the estimation of heating demand in building thermal simulations. Sustainable Cities and Society, 62, 102403. https://doi.org/10.1016/j.scs.2020.102403 | es_ES |
dc.identifier.issn | 2210-6715 | |
dc.identifier.uri | http://hdl.handle.net/2183/35019 | |
dc.description | This version of the article has been accepted for publication, after peer review, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1016/j.scs.2020.102403 | es_ES |
dc.description.abstract | [Abstract]: Thermal simulations are a commonly used tool for energy efficiency analysis of buildings. Regional meteorological station networks are a prime source of weather data inputs, required for building thermal simulations. However, local measurements from weather stations are not always available, and when available, access to data may be expensive. This paper analysed a novel use of a numerical weather prediction mesoscale model, the Global Forecast System (GFS) sflux model, as a source of input data for transient thermal simulations. Two interpolation techniques (nearest neighbour and universal kriging) were used to generate local weather datasets from GFS outputs at 27 locations spread over an area of 29,574 km2 in Galicia (northwest Spain). The performance of the GFS estimations was tested against weather measurements obtained from a government weather agency. A representative building with the most common features was selected for running thermal simulations in the TRNSYS environment, focused on heating demands, with estimated weather data as the input. The results highlighted that GFS-interpolated datasets consistently performed better than using measured data from the nearest weather station. GFS was found to be an appropriate weather source for building simulations and was able to provide good-quality, free and global-scale local weather inputs. | es_ES |
dc.description.abstract | Xunta de Galicia; TOPACIO IN852A 2018/37 | es_ES |
dc.description.sponsorship | Universidade de Vigo; 00VI 131H 641.02 | es_ES |
dc.description.sponsorship | Xunta de Galicia; TOPACIO IN852A 2018/37 | es_ES |
dc.description.sponsorship | This investigation article was partially supported by the University of Vigo through the grant Convocatoria de Axudas á Investigación 2018: Axudas Predoutorais UVigo 2018 (grant number 00VI 131H 641.02). This investigation article was also partially supported by the Galician Government by means of the Xunta de Galicia CONECTA PEME 2018 (Project: TOPACIO IN852A 2018/37). This paper was carried out in the framework of the GIS-Based Infrastructure Management System for Optimized Response to Extreme Events of Terrestrial Transport Networks (SAFEWAY) project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 769255. Neither the Innovation and Networks Executive Agency (INEA) nor the European Commission is in any way responsible for any use that may be made of the information it contains | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/769255 | es_ES |
dc.relation.uri | https://doi.org/10.1016/j.scs.2020.102403 | es_ES |
dc.rights | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Building simulation | es_ES |
dc.subject | Weather data | es_ES |
dc.subject | Numerical weather prediction | es_ES |
dc.subject | Global forecast system | es_ES |
dc.subject | Kriging | es_ES |
dc.subject | Interpolation | es_ES |
dc.title | Use of a numerical weather prediction model as a meteorological source for building thermal simulations | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Sustainable Cities and Society | es_ES |
UDC.volume | 62 | es_ES |
dc.identifier.doi | https://doi.org/10.1016/j.scs.2020.102403 |
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