空調ガイダンスシステムにおける室内の温度および気流分布の予測

抄録

In this paper, we propose a new air conditioning system that predicts the indoor comfort distribution by computational fluid dynamics (CFD) and the Internet of Things (IoT), and incorporates human behavior patterns to adjust to the appropriate indoor comfort level. In this air conditioning system, the temperature as well as the airflow distribution in the room needs to be predicted and then a solution is proposed based on the prediction results. In this paper, we present the experimental model we used and the related experiments for the analysis.