期刊
BUILDING AND ENVIRONMENT
卷 44, 期 10, 页码 2089-2096出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2009.02.014
关键词
Thermal comfort; Thermal environment; Adaptive Predicted Mean Vote (aPMV); Predicted Mean Vote (PMV); Actual Mean Vote (AMV); Adaptive coefficient lambda
资金
- UK Engineering and Physical Sciences Research Council (EPSRC) [EP/E040748/1]
- Chinese Ministry of Science and Technology [2006BAJ02A09]
- National Natural Science Foundation of China [50838009]
- Engineering and Physical Sciences Research Council [EP/E040748/1] Funding Source: researchfish
- EPSRC [EP/E040748/1] Funding Source: UKRI
This paper presents in detail a theoretical adaptive model of thermal comfort based on the Black Box theory, taking into account factors such as culture, climate, social, psychological and behavioural adaptations, which have an impact on the senses used to detect thermal comfort. The model is called the Adaptive Predicted Mean Vote (aPMV) model. The aPMV model explains, by applying the cybernetics concept, the phenomena that the Predicted Mean Vote (PMV) is greater than the Actual Mean Vote (AMV) in free-running buildings, which has been revealed by many researchers in field studies. An Adaptive coefficient (lambda) representing the adaptive factors that affect the sense of thermal comfort has been proposed. The empirical coefficients in warm and cool conditions for the Chongqing area in China have been derived by applying the least square method to the monitored onsite environmental data and the thermal comfort survey results. (C) 2009 Elsevier Ltd. All rights reserved.
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