Zhu Shengwei, Srebric Jelena, Rudnick Stephen N, Vincent Richard L, Nardell Edward A
School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Department of Architectural Engineering, The Pennsylvania State University, State College, Pennsylvania, USA.
Build Environ. 2014 Feb;72:116-124. doi: 10.1016/j.buildenv.2013.10.019.
This study proposes a numerical modeling method for the indoor environment with ceiling fans and upper-room ultraviolet germicidal irradiation (UR-UVGI) fixtures. The numerical modeling deployed steady-state Computational Fluid Dynamics (CFD) with a rotating reference frame to simulate the rotation of fan blades. CFD was validated with experimental data of velocity field and fraction of microorganism remaining at the exhaust diffuser. The fraction of microorganism remaining represented the ratio of the concentration of airborne microorganisms measured with UVGI turned on to the one measured with UVGI turned off. According to the validation results, the CFD model correctly reproduced the air movement induced by the rotation of ceiling fan. When the ambient ventilation rate was 2 ACH (air changes per hour) or 6 ACH, the CFD model accurately predicted the average vertical speeds in the section 2.44 m above the floor with the errors less than 10%, regardless of the ceiling fan's rotational direction or speed. In addition, the simulation results showed that the fraction of microorganism remaining increased with the ambient air exchange rate when the fan blew air downward with a rotational speed as high as 235 rpm, which corresponded with the experimental results. Furthermore, the simulation results accurately predicted the fraction of microorganism remaining when the ambient air exchange rate was 2 ACH. We conclude that this novel numerical model can reproduce the effects of ceiling fans and UR-UVGI fixtures on indoor environment, and should aid in the investigation of the impact of ceiling fans on UR-UVGI disinfection efficacy.
本研究提出了一种针对带有吊扇和房间上部紫外线杀菌辐照(UR-UVGI)装置的室内环境的数值建模方法。该数值建模采用稳态计算流体动力学(CFD)并结合旋转参考系来模拟风扇叶片的旋转。CFD通过速度场以及排气扩散器处微生物残留比例的实验数据进行了验证。微生物残留比例表示在开启紫外线杀菌辐照时测量的空气中微生物浓度与关闭紫外线杀菌辐照时测量的空气中微生物浓度之比。根据验证结果,CFD模型正确地再现了吊扇旋转引起的空气流动。当环境通风率为每小时2次换气(ACH)或6次换气时,无论吊扇的旋转方向或速度如何,CFD模型都能准确预测地板上方2.44米处截面的平均垂直速度,误差小于10%。此外,模拟结果表明,当风扇以高达235转/分钟的转速向下送风时,微生物残留比例会随着环境空气交换率的增加而增加,这与实验结果相符。此外,模拟结果准确地预测了环境空气交换率为2次换气时的微生物残留比例。我们得出结论,这种新颖的数值模型能够再现吊扇和UR-UVGI装置对室内环境的影响,并且有助于研究吊扇对UR-UVGI消毒效果的影响。