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Development of reference summer weather years for analysis of overheating risk in buildings
Overheating in buildings arising from climatic extreme heat events has been identified as a health concern to vulnerable occupants. However, there have been very limited studies to generate suitable weather data to evaluate by simulation the overheating risk and its effect on the comfort and health of occupants. This paper develops a methodology to identify reference summer weather years (RSWY) for overheating risk analysis. The methodology includes generation of historical climate data, and development of a heat stress metric for the definition and characterization of heat events. The Standard Effective Temperature was selected among a short list of popular metrics, modified and named t-SET to account for transient heat events, activity levels of occupants, and thermoregulatory controls of sleeping subjects. The t-SET model predictions compared well with measured body temperatures of subjects undergoing multi-stage activities under hot conditions. The t-SET index was used to generate RSWY for selected Canadian cities.
Development of reference summer weather years for analysis of overheating risk in buildings
Overheating in buildings arising from climatic extreme heat events has been identified as a health concern to vulnerable occupants. However, there have been very limited studies to generate suitable weather data to evaluate by simulation the overheating risk and its effect on the comfort and health of occupants. This paper develops a methodology to identify reference summer weather years (RSWY) for overheating risk analysis. The methodology includes generation of historical climate data, and development of a heat stress metric for the definition and characterization of heat events. The Standard Effective Temperature was selected among a short list of popular metrics, modified and named t-SET to account for transient heat events, activity levels of occupants, and thermoregulatory controls of sleeping subjects. The t-SET model predictions compared well with measured body temperatures of subjects undergoing multi-stage activities under hot conditions. The t-SET index was used to generate RSWY for selected Canadian cities.
Development of reference summer weather years for analysis of overheating risk in buildings
Laouadi, A. (Autor:in) / Gaur, A. (Autor:in) / Lacasse, M. A. (Autor:in) / Bartko, M. (Autor:in) / Armstrong, M. (Autor:in)
Journal of Building Performance Simulation ; 13 ; 301-319
03.05.2020
19 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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|Future probabilistic hot summer years for overheating risk assessments
British Library Online Contents | 2016
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