| This paper presents a simple and repeatable CFD-based method that can accurately predict the optimal operating conditions of personalized ventilation systems. In contrast to previous studies, the optimal performance of the PV system includes the influences of various operation characteristics (supply air velocity, PV flow rate, PV temperature, PV distance from face, turbulence intensity, relative humidity, central system flow rate, central system temperature, central system type, and PV on/off operation) on three critical performance factors: thermal comfort, indoor air quality, and energy savings. This method is able to predict more achievable and comprehensive operating performance of PV systems. It is found for the computer perimeter grill air terminal device that supply temperatures, central flow rate, and PV flow rate are the most influential factors on performance in terms of thermal comfort, IAQ, and energy. Using the Taguchi design of experiment and optimal performance prediction method, the computer perimeter grill personalized ventilation system is optimized in conjunction with under-floor and overhead central systems, separately. |
