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dc.contributor.author
Bre, Facundo
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dc.contributor.author
e Silva Machado, Rayner M.
dc.contributor.author
Linda Lawrie
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Crawley, Drury B.
dc.contributor.author
Lamberts, Roberto
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dc.date.available
2023-01-17T18:47:31Z
dc.date.issued
2021-11
dc.identifier.citation
Bre, Facundo; e Silva Machado, Rayner M.; Linda Lawrie; Crawley, Drury B.; Lamberts, Roberto; Assessment of solar radiation data quality in typical meteorological years and its influence on the building performance simulation; Elsevier Science SA; Energy and Buildings; 250; 11-2021; 1-25
dc.identifier.issn
0378-7788
dc.identifier.uri
http://hdl.handle.net/11336/184888
dc.description.abstract
Solar radiation along with other weather variables are commonly processed on typical meteorological years (TMYs) to be applied in the design of various energy systems. However, in several regions of the world, solar radiation data usually lacks a suitable and/or representative measurement, which leads to its modeling and prediction to properly fill this information in the databases. Consequently, the accuracy of these models can influence the viability and proper design of such energy systems. Within this context, the present contribution aims to assess the quality of solar radiation data included in the most recent TMY databases with Brazilian data and how that quality can influence the selection of months that create TMYs as well as the building performance simulation (BPS) results. Because two different approaches to generate the solar radiation data are used, we evaluate the global horizontal irradiation data in the two latest versions of recent Brazilian TMY databases against the corresponding satellite-derived ones obtained from the POWER database (NASA). Simultaneously, as another alternative approach, global solar radiation data are calculated for the same studied locations and period through the modeling method used to generate the current version of the International Weather for Energy Calculations (IWEC2), and its performance is also compared against the corresponding reanalysis data (POWER). Finally, a set of case studies applying the local building performance regulations are exhaustively analyzed to quantify the impact of the uncertainty of solar radiation models on BPS results throughout Brazil. The results indicate that the accuracy of solar radiation models can highly influence the resulting TMY configurations. These changes can drive differences up to 40% on the prediction of the ideal annual loads of the residential buildings while, regardless of design performance, differences lower than 10% are found for the commercial case studies in most locations. Conversely, the prediction of peak loads for cooling shows to be more sensitive to the climate data changes in the commercial buildings than in the residential ones.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science SA
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BUILDING PERFORMANCE REGULATION
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BUILDING PERFORMANCE SIMULATION
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SOLAR RADIATION MODELING
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TROPICAL CLIMATE
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TYPICAL METEOROLOGICAL YEAR
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VALIDATION
dc.subject.classification
Mecánica Aplicada
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Ingeniería Mecánica
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.subject.classification
Investigación Climatológica
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
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Ingeniería Civil
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dc.subject.classification
Ingeniería Civil
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Assessment of solar radiation data quality in typical meteorological years and its influence on the building performance simulation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-21T11:13:57Z
dc.journal.volume
250
dc.journal.pagination
1-25
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Bre, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
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Fil: e Silva Machado, Rayner M.. Universidade Federal de Santa Catarina; Brasil
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Fil: Linda Lawrie. Dhl Consulting LLC; Estados Unidos
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Fil: Crawley, Drury B.. Bentley Systems, Inc.; Estados Unidos
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Fil: Lamberts, Roberto. Universidade Federal de Santa Catarina; Brasil
dc.journal.title
Energy and Buildings
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378778821005351
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.enbuild.2021.111251
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