Predictive clothing insulation model based on outdoor air and indoor operative temperatures

Stefano Schiavon, Kwang Ho Lee

Research output: Contribution to conferencePaper

Abstract

Clothing affects people's perception of the thermal environment. In this research two predictive models of clothing insulation have been developed based on 6,333 selected observations taken from ASHRAE RP-884 and RP-921 databases. The database has been used to statistically analyze the influence of 20 variables on clothing insulation. The results show that the median clothing insulation is 0.59 clo (0.50 clo (n=2,760) in summer and 0.66 clo (n=3,580) in winter). Clothing insulation is correlated with outdoor air temperature (r=0.45), operative temperature (r=0.3), relative humidity (r=0.26), air velocity (r=0.14) and metabolic activity (r=0.12). Two mixed regression models were developed. In the first one clothing insulation is a function of outdoor air temperature measured at 6 o'clock in the morning and in the second one the influence of indoor operative temperature is also taken into account. The models were able to predict only 19 and 22% of the total variance, respectively. These low predicting powers are better than the assumption of constant clothing insulation for the heating (1 clo) and cooling (0.5 clo) seasons.

Original languageEnglish
Publication statusPublished - 2012 Dec 1
Externally publishedYes
Event7th Windsor Conference: The Changing Context of Comfort in an Unpredictable World 2012 - Windsor, United Kingdom
Duration: 2012 Apr 122012 Apr 15

Conference

Conference7th Windsor Conference: The Changing Context of Comfort in an Unpredictable World 2012
CountryUnited Kingdom
CityWindsor
Period12/4/1212/4/15

Keywords

  • Behavior modeling
  • Clothing
  • Occupant behavior
  • Thermal comfort
  • Weather

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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  • Cite this

    Schiavon, S., & Lee, K. H. (2012). Predictive clothing insulation model based on outdoor air and indoor operative temperatures. Paper presented at 7th Windsor Conference: The Changing Context of Comfort in an Unpredictable World 2012, Windsor, United Kingdom.