Study on sleeping environment using human physiological model

Heat island phenomenon has significantly become worse in Tokyo metropolitan area in recent years. This leads to a drastic increase of patients with sleep disorder. The sleeping environments are much affected by the building performance and the ways occupants live in their houses. Interaction of human physiology and the thermal environment throughout the sleeping time makes it difficult to evaluate the sleeping environments. In this paper, we analyzed a sleeping environment by means of coupled simulations of the heat and airflow network model and Computational Fluid Dynamics (CFD) incorporated with thermoregulation model. Results showed that the use of air conditioner being operated to adapt to human metabolism can be effective to lower the core temperature and lead to a good sleep.