Thermal Sense Prediction Model for Definite Human Group in Indoor Case

摘要

In order to build a prediction model of the indoor thermal comfort for a given human group,the original predicted mean vote (PMV) equation is reconstructed and simplified,the modified PMV equation is named PMVR (PMV for region),where five variables are needed to be fitted with the dataset of actual thermal sense of a definite human group. As the fitting algorithm,the particle swarm optimization algorithm is used to optimize the solution,and a fixed PMVR can be finally determined. Experiment results indicate that for a definite human group,PMVR is more accurate on the prediction of thermal sense compared with some other models.