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Measurement and prediction of the indoor airflow in a room ventilated with a commercial wind tower

机译：商业风塔通风房间的室内气流的测量和预测

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摘要

This paper introduces a method for a full assessment of the internal air movement characteristics in a room ventilated with a commercial wind tower using scaled wind tunnel and computational fluid dynamics (CFD) analysis. An accurate geometrical representation of the experimental situation was recreated in the CFD simulation. The experimental investigation was carried out using a closed-loop low speed wind tunnel and the indoor air flow distribution was measured and compared with the CFD analysis. Good correlation between the numerical and experimental results was observed (10% average error). Flow visualisation was also conducted to further analyse the airflow structure within the room. The work assessed several ventilation parameters to describe the indoor airflow characteristics such as the mean age of air (MAA), air change rate, and air change effectiveness (ACE). The MAA was calculated using the steady-state method, by solving an additional partial differential equation describing the transport of the scalar "age of air". The numerical analysis of the MAA allowed to detect less or insufficiently ventilated areas. The CFD code could be useful for the calculation of the MAA and ACE, allowing reduction in time and cost in the evaluation of indoor air quality in buildings ventilated with wind tower or similar device.
机译：本文介绍了一种使用比例风洞和计算流体力学（CFD）分析来全面评估带有商业风塔的房间内部空气流动特性的方法。在CFD仿真中重新创建了实验情况的精确几何表示。使用闭环低速风洞进行了实验研究，测量了室内气流分布并将其与CFD分析进行了比较。观察到数值与实验结果之间具有良好的相关性（平均误差为10％）。还进行了流量可视化，以进一步分析房间内的气流结构。这项工作评估了几个通风参数，以描述室内气流特征，例如平均空气年龄（MAA），换气速率和换气效率（ACE）。通过求解描述标量“空气年龄”传输的附加偏微分方程，使用稳态方法来计算MAA。 MAA的数值分析可以检测到通风少或通风不足的区域。 CFD代码可用于计算MAA和ACE，从而可以在评估使用风塔或类似设备通风的建筑物中的室内空气质量时减少时间和成本。

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