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In office spaces, the ratio of energy consumption of air conditioning andlighting for maintaining the environment comfort is about 70%. On the otherhand, many people claim being dissatisfied with the temperature of the airconditioning. Therefore, there is concern about work efficiency reductioncaused by the current air conditioning control. In this research, we propose anautomatic control system that improves both energy-saving and thermal comfortof all indoor users by quantifying individual differences in thermal comfortfrom vital information, on the basis of which the optimal settings of both airconditioning and wearable systems that can directly heat and cool individualsare determined. Various environments were simulated with different room sizes,numbers of users in a room, and heating/cooling conditions. The simulationresults demonstrated the efficiency of the proposed system for both energysaving and comfort maximization.

Model for Thermal Comfort and Energy Saving Based on Individual Sensation Estimation