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Current and future test reference years at a 5 km resolution

Authors
Liu, C.Chung, W.Cecinati, F.Natarajan, S.Coley, D.
Issue Date
Jul-2020
Publisher
SAGE PUBLICATIONS LTD
Keywords
Spatial variability; climate change; weather files; built environment
Citation
BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, v.41, no.4, pp.389 - 413
Journal Title
BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY
Volume
41
Number
4
Start Page
389
End Page
413
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78475
DOI
10.1177/0143624419880629
ISSN
0143-6244
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.
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Engineering (Department of Building Equipment System&Fire Protection Engineering)
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