| With the development of economic, HVAC has been widely used. Meanwhile, people pay more attention to thermal comfort, but it leads to high energy consumption in the building. Therefore, a kind of air conditioning system has been developed which integrated Dedicated Outdoor Air System(DOAS) and Ceiling Radiant Cooling Panel(CRCP), and is considered as the most potential air-conditioning.This paper presents the coupling simulation method of TRNSYS combined with CFD software. It uses one unit of a residential building as the object of study. TRNSYS-CFD coupling simulation is used to simulate the DOAS+CRCP air conditioning system and the indoor air distribution in summer. Coupling simulation which combines features from TRNSYS and CFD, can analyze the influence of air distribution on the DOAS+CRCP system.The results of simulation test show that the coupling simulation method is better than using TRNSYS only for describing the return air temperature. Moreover, the coupling simulation method can simulate if the condensation will form on the CRCP when decreasing the temperature of supply water.Compared with VAV system, DOAS+CRCP system with constant air and water volume causes fluctuation of temperature and relative humidity, but a small temperature difference between 1.1m and 0.1m which can meet the thermal comfort. DOAS+CRCP system with constant air and water volume cannot save much energy in contrast with VAV system.Based on this, DOAS+CRCP system has been improved with variable air and water volume. The results show the return air temperature and relative humidity are not good choices for indoor temperature and relative humidity control in DOAS+CRCP system.Finally, to make good indoor air distribution, this paper presents a the supply air optimal control strategy based on multi-sensor. By analyzing the ADPI values at different times under different supply air flow mass and variation of the temperature difference between two temperature sampling points, the optimal set point of supply air humidity is determined in order to obtain a uniform indoor air distribution. Compared with cases before and after optimization, the supply air optimal control strategy will help improve indoor air distribution. |
