A theoretical adaptive model of thermal comfort - Adaptive Predicted Mean Vote (aPMV)
Yao, R., Li, B. and Liu, J.
2009 Building and Environment, 44(10): 2089-2096
Thermal comfort; Thermal environment; Adaptive Predicted Mean Vote (aPMV); Predicted Mean Vote (PMV); Actual Mean Vote (AMV); Adaptive coefficient [lambda]
Yao, R., Li, B. and Liu, J., (2009), "A theoretical adaptive model of thermal comfort - Adaptive Predicted Mean Vote (aPMV)", Building and Environment, 44(10): 2089-2096.
Abstract:
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.
This publication in whole or part may be found online at: here.
Liu, J. School of Municipal and Environmental Engineering, Harbin Institute of Technology, P.O. Box 2651, 202 Haihe Street, Nangang District, Harbin 150090, China
