The thermal storage system in a building's HVAC system theoretically exemplifies the technological advances of energy conservation as well as reduction of CO_2 emissions. It has been reported, however, that energy conservation is not achieved in actual operation due to non-optimal system operation. To solve this problem, the authors previously proposed a basic methodology for optimum operation of a thermal storage water system based on simulation technology and thermal load prediction. Also, the effect of optimum operation by simulation was shown in simulation basis. In this methodology, the setpoint temperature of the chiller, θ_<set>, and chiller operating time at night, t_<ope> to minimize the total system energy consumption are determined based on the based on simulation technology and thermal load prediction. However, the dehumidification performance of the cooling coil deteriorates and thermal environment in the room may become worse when θ_<set> is higher. In the present paper, the optimum operation scheme considering the dehumidification performance is developed to prevent such defect. Also, the effect of the scheme is shown in simulation basis.
View full abstract