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Simplification of PMV through Multiple Regression Analysis  

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)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.19, no.11, 2007 , pp. 761-769 More about this Journal
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
Effective draft temperature; Multiple regression analysis; Predicted mean vote;
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