Application of PMV Index on Indoor Environmental Control System

Tong-Ying GUO, Jia-Ning HE, Wei GONG, Hai-Chen WANG

Abstract


The control of the indoor environment should not only consider the human comfort requirements such as temperature, humidity, air flow velocity etc, but also consider factors such as air quality and energy consumption. Based on the analysis of human comfort index PMV (Predicted Mean Vote), we do research on the indoor environmental ventilation and air conditioning control system using the method of multi-objective optimization control, describe the principles of optimization and optimization steps. The simulation results show the effectiveness of the optimization method, which can provide a feasible method of the ventilation and air conditioning control for the indoor environment.

Keywords


Indoor Environment, Comfort, Ventilation, Air Conditioning, Optimization


DOI
10.12783/dtetr/sste2016/6610

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