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dc.contributor.author
Alchapar, Noelia Liliana  
dc.contributor.author
Pezzuto, Claudia  
dc.contributor.author
Ballarini, Santiago  
dc.contributor.author
Correa, Erica  
dc.contributor.other
Rodríguez Álvarez, Jorge  
dc.contributor.other
Soares Gonçalves, Joana Carla  
dc.date.available
2023-02-09T20:08:01Z  
dc.date.issued
2020  
dc.identifier.citation
Reference weather data selection in urban weather generator model; 35th International Conference on Passive and Low Energy Architecture; La Coruña; España; 2020; 788-793  
dc.identifier.isbn
978-84-9749-794-7  
dc.identifier.uri
http://hdl.handle.net/11336/187543  
dc.description.abstract
The precision and degree of detail of input urban area parameters and meteorological files directly affect the final result of a simulation. The objective of the research is to evaluate the performance of the Urban Weather Generator v4.1 model (UWG) for urban climate analysis in two cities. Experimental measurements during the summer period in two cities (Mendoza -desert climate- and Campinas -warm temperate-) were used to verify the accuracy of the model. A comparison with two types of weather files (.epw) was used to verify the performance of the input data. The Typical Meteorological Year (TMY) weather data, which is the weather file commonly used with this software, and a weather data based on the year of collection of the experiment (Single_Year) were used.This research showed how the use of the one-year measurement weather file (Single_Year) greatly reduces errors between observed and simulated data. The air temperature registers an R2=0.96 (Mendoza) and 0.98 (Campinas). Whereas if the simulation is performed with typical long-term weather data (TMY), the coefficient of determination is null (R2 = 0.43 in Mendoza and R2 = 0.11 in Campinas). The same was verified with the relative humidity in both cities. The underestimation or overestimation of temperature and humidity leads to errors in calculating the use of equipment for interior conditioning of buildings. Therefore, to obtain accurate results at a given location, it is necessary to know the local climate at short intervals, usually at an hourly rate, during a given year.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Universidade Da Coruña  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
URBAN MICROCLIMATE  
dc.subject
UWG SOFTWARE  
dc.subject
WEATHER DATA  
dc.subject.classification
Otras Ingeniería del Medio Ambiente  
dc.subject.classification
Ingeniería del Medio Ambiente  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Reference weather data selection in urban weather generator model  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-11-16T12:15:10Z  
dc.journal.pagination
788-793  
dc.journal.pais
España  
dc.journal.ciudad
La Coruña  
dc.description.fil
Fil: Alchapar, Noelia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ambiente, Hábitat y Energía; Argentina  
dc.description.fil
Fil: Pezzuto, Claudia. Pontifícia Universidade Católica de Campinas; Brasil  
dc.description.fil
Fil: Ballarini, Santiago. Universidad Nacional de Cuyo. Facultad de Ingeniería; Argentina  
dc.description.fil
Fil: Correa, Erica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ambiente, Hábitat y Energía; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ruc.udc.es/dspace/handle/2183/26695  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.17979/spudc.9788497497947  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
35th International Conference on Passive and Low Energy Architecture  
dc.date.evento
2020-09-01  
dc.description.ciudadEvento
La Coruña  
dc.description.paisEvento
España  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Universidade Da Coruña  
dc.description.institucionOrganizadora
Asociation PLEA 2020 Planning Post Carbon Cities  
dc.source.libro
Proceedings of the 35th International Conference on Passive and Low Energy Architecture  
dc.date.eventoHasta
2020-09-03  
dc.type
Conferencia