In this study, we examine the dynamic simulation model of an air conditioning system consisting of heat source equipment, a heat exchanger, transport equipment, and a room. We estimate that the efficiency of the HVAC system can be increased by optimum operation control using the dynamic model. By simulating an air-conditioning system by using a coupled dynamic system model and CFD, we examine the effect of supply air temperature reset control and demand reduction control of HVAC system that utilizes thermal sensation in an unsteady state temperature environment. We obtain the following results for the effect of supply air temperature reset control and demand reduction control of the HVAC system. Supply air temperature reset control can cause a change of uniform temperature distribution. Supply air temperature reset control does not increase the power consumption. The power consumption of the unsteady state temperature environment is 4-7% lower than that of the constant state temperature environment. The demand reduction control is the control of shifting half of the change cycle of the indoor temperature set value at each other area. Demand reduction control reduces the maximum power consumption from 49.3 kW to 41.5 kW. Using this dynamic simulation, there is a possibility of considering the optimum control method in advance.
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