  In office spaces, the ratio of energy consumption of air conditioning and
lighting for maintaining the environment comfort is about 70%. On the other
hand, many people claim being dissatisfied with the temperature of the air
conditioning. Therefore, there is concern about work efficiency reduction
caused by the current air conditioning control. In this research, we propose an
automatic control system that improves both energy-saving and thermal comfort
of all indoor users by quantifying individual differences in thermal comfort
from vital information, on the basis of which the optimal settings of both air
conditioning and wearable systems that can directly heat and cool individuals
are determined. Various environments were simulated with different room sizes,
numbers of users in a room, and heating/cooling conditions. The simulation
results demonstrated the efficiency of the proposed system for both energy
saving and comfort maximization.
