Korean Journal of Air-Conditioning and Refrigeration Engineering (설비공학논문집)

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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Simplification of PMV through Multiple Regression Analysis

다중회귀분석을 통한 PMV 모델의 단순화

  • Moon, Yong-Jun (School of Mechanical and Information Engineering, University of Seoul) ;
  • Noh, Kwang-Chul (School of Mechanical Engineering, Yonsei University) ;
  • Oh, Myung-Do (Department of Mechanical and Information Engineering, University of Seoul)
  • 문용준 (서울시립대학교 대학원 기계정보공학과) ;
  • 노광철 (연세대학교 기계공학부) ;
  • 오명도 (서울시립대학교 기계정보공학과)
  • Published : 2007.11.10
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Abstract

The purpose of this study is to present a simplified model of predicted mean vote (PMV) using multiple regression analysis. We performed the experiments and the numerical calculations in the lecture room during summer and winter to simplify PMV. And the multiple regression analysis on PMV was conducted to estimate the contribution of independent variables toward PMV. From the multiple regression analysis, we found that the effect of independent variables on PMV followed in order, clo value>air temperatur>air velocity>mean radiant temperature>relative humidity. And the simplified PMV was proposed through a few assumptions and then was compared with original PMV. They had a good agreement with each other. Additionally, we compared the simplified PMV with EDT. We expected that the simplified PMV can be more useful than EDT to evaluate the thermal comfort in the place, where radiation is dominant. But the comfort range of the simplified PMV should be adjusted to predict the exact thermal comfort in the future.

Keywords

References

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