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Title: Developing an adaptive model of thermal comfort and preference

Conference ·
OSTI ID:653186
 [1];  [2]
  1. Macquarie Univ., Sydney (Australia). School of Earth Sciences
  2. Univ. of California, Berkeley, CA (United States). Center for Environmental Design Research

The adaptive hypothesis predicts that contextual factors and past thermal history modify building occupants` thermal expectations and preferences. One of the predictions of the adaptive hypothesis is that people in warm climate zones prefer warmer indoor temperatures than people living in cold climate zones. This is contrary to the static assumptions underlying the current ASHRAE comfort standard 55-92. To examine the adaptive hypothesis and its implications for Standard 55-92, the ASHRAE RP-884 project assembled a quality-controlled database from thermal comfort field experiments worldwide (circa 21,000 observations from 160 buildings). The authors statistical analysis examined the semantics of thermal comfort in terms of thermal sensation, acceptability, and preference, as a function of both indoor and outdoor temperature. Optimum indoor temperatures tracked both prevailing indoor and outdoor temperatures, as predicted by the adaptive hypothesis. The static predicted mean vote (PMV) model was shown to be partially adaptive by accounting for behavioral adjustments, and fully explained adaptation occurring in HVAC buildings. Occupants in naturally ventilated buildings were tolerant of a significant wider range of temperatures, explained by a combination of both behavioral adjustment and psychological adaptation. These results formed the basis of a proposal for a variable indoor temperature standard.

OSTI ID:
653186
Report Number(s):
CONF-980123-; TRN: IM9827%%79
Resource Relation:
Conference: 1998 ASHRAE winter meeting, San Francisco, CA (United States), 17-21 Jan 1998; Other Information: PBD: 1998; Related Information: Is Part Of ASHRAE transactions 1998. Volume 104, Part 1A: Technical papers; PB: 834 p.
Country of Publication:
United States
Language:
English