| Title |
Simplification of PMV through Multiple Regression Analysis |
| Authors |
문용준(Yong-Jun Moon) ; 노광철(Kwang-Chul Noh) ; 오명도(Myung-Do Oh) |
| Keywords |
유효드래프트온도 ; 다중회귀분석 ; 온열쾌적감 Effective draft temperature ; Multiple regression analysis ; Predicted mean vote |
| 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 temperature>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. |