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CFD assessment of intake fraction in the indoor environment

机译:对室内环境中的进气分数进行CFD评估

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In this paper we use a validated CFD model to calculate the inhalation exposure, expressed as an intake fraction (iF), of a seated person in an office with different contaminant sources, a floor diffuser, and a ceiling vent. These sources include the floor, the walls, a desk, and the human body. First, experimental data is used to determine the correct turbulent Schmidt number for the computational model to predict the transport of the species in an indoor environment. It was found at a turbulent Schmidt number of ~0.9 produced the best fit when compared to experimental data. Then, the iF was calculated for two representations of the computer simulated person (CSP): a CSP with detailed surface geometry, and a simplified CSP with multi-block geometry. It was found that the simplified multi-block geometry is not adequate for predicting iF because it radically changes the flowfield of the thermal plume in the breathing zone (BZ). Next, the effect of personal ventilation systems on iF was investigated. The results show that such systems can reduce the iF by an order of magnitude compared with conventional mixing and displacement ventilation systems. Finally, a comparison of iF results were made for a surface body temperature of 32 ℃ and 28 ℃. It was found that a 4 ℃ change in body surface temperature influenced the iF by less than 10%.
机译:在本文中,我们使用经过验证的CFD模型来计算具有不同污染物源,地板扩散器和天花板通风口的办公室中坐着的人的吸入暴露,以摄入分数(iF)表示。这些资源包括地板,墙壁,桌子和人体。首先,将实验数据用于确定计算模型的正确湍流施密特数,以预测室内环境中物种的运输。与实验数据相比,发现湍流的Schmidt值为0.9时,拟合效果最佳。然后,针对计算机模拟人(CSP)的两种表示来计算iF:具有详细表面几何形状的CSP和具有多块几何形状的简化CSP。已发现简化的多块几何体不足以预测iF,因为它会从根本上改变呼吸区(BZ)中热羽流的流场。接下来,研究了个人通风系统对iF的影响。结果表明,与传统的混合和置换通风系统相比,此类系统可以将iF降低一个数量级。最后,对表面温度分别为32℃和28℃的iF结果进行了比较。结果发现,体表温度4℃的变化对iF的影响不到10%。

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