Current and future test reference years at a 5 km resolution
DC Field | Value | Language |
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dc.contributor.author | Liu, C. | - |
dc.contributor.author | Chung, W. | - |
dc.contributor.author | Cecinati, F. | - |
dc.contributor.author | Natarajan, S. | - |
dc.contributor.author | Coley, D. | - |
dc.date.available | 2020-10-20T06:42:06Z | - |
dc.date.created | 2020-06-10 | - |
dc.date.issued | 2020-07 | - |
dc.identifier.issn | 0143-6244 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78475 | - |
dc.description.abstract | Frequently, the computer modelling of the natural and human-made environment requires localised weather files. Traditionally, the weather files are based on the observed weather at a small number of locations (14 for the UK). Unfortunately, both the climate and the weather are known to be highly variable across the landscape, so the small number of locations has the potential to cause large errors. With respect to buildings, this results in incorrect estimates of the annual energy use (sometimes by a factor of 2), or of overheating risk. Here we use a validated weather generator running on a 5 x 5 km grid to create probabilistic test reference years (pTRYs) for the UK at 11,326 locations. We then investigate the spatial variability of these pTRYs and of annual energy estimates and temperatures in buildings generated by them, both now and in 2080. Further pTRYs targeted at understanding the impact of minimum and maximum temperatures are proposed and produced at the same locations. Finally, we place these pTRYs, which represent the first set of reference weather files at this spatial resolution in the world and that include the urban heat island effect, into a publicly accessible database so researchers and industry can access them. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SAGE PUBLICATIONS LTD | - |
dc.relation.isPartOf | BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY | - |
dc.title | Current and future test reference years at a 5 km resolution | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000490798900001 | - |
dc.identifier.doi | 10.1177/0143624419880629 | - |
dc.identifier.bibliographicCitation | BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, v.41, no.4, pp.389 - 413 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 413 | - |
dc.citation.startPage | 389 | - |
dc.citation.title | BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY | - |
dc.citation.volume | 41 | - |
dc.citation.number | 4 | - |
dc.contributor.affiliatedAuthor | Chung, W. | - |
dc.type.docType | Article; Early Access | - |
dc.subject.keywordAuthor | Spatial variability | - |
dc.subject.keywordAuthor | climate change | - |
dc.subject.keywordAuthor | weather files | - |
dc.subject.keywordAuthor | built environment | - |
dc.subject.keywordPlus | PROBABILISTIC CLIMATE PROJECTIONS | - |
dc.subject.keywordPlus | DESIGN SUMMER YEARS | - |
dc.subject.keywordPlus | WEATHER FILES | - |
dc.subject.keywordPlus | RISK-ASSESSMENT | - |
dc.subject.keywordPlus | UKCP09 | - |
dc.subject.keywordPlus | ENERGY | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | ADAPTATIONS | - |
dc.relation.journalResearchArea | Construction & Building Technology | - |
dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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