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Uncertainty Analysis of a Numerical Performance Model for an Inflatable Fabric Evaporative Cooling Tower 充气织物蒸发冷却塔数值性能模型的不确定性分析
对下吸式蒸发织物冷却塔的数值性能模型进行了不确定性分析。这种冷却塔可以快速部署,并可以改善炎热、干旱环境中的生活条件,在这些环境中,紧急避难所或特殊活动需要临时结构。之前验证数值性能模型的实验是在非理想环境条件下进行的。在给定的环境条件下,在没有风压影响的情况下,下吸力流由非常小的密度差驱动。对于这些试验条件,预测的湿空气体积流量不确定度约等于测量值的大小,湿空气密度不确定度主导了计算的体积流量不确定度。目前的调查证实,与体积流量测量相关的不确定性不足以解释模型预测和实验确定值之间的差异。 进行了一项参数研究,其中,小损失系数、喷淋水温度、环境干球温度、环境相对湿度和环境横流风速等数量分别变化,以便于与基线情况进行比较。结果表明,喷雾水温度测量的不准确度不足以完全解释测量和预测的湿空气流量之间的差异。此外,本研究还表明,在存在稳定风况的情况下,使用风捕捉装置可以提高织物蒸发冷却塔的性能。引用:2019年年度会议,密苏里州堪萨斯城,技术论文
An uncertainty analysis of a numerical performance model of a downdraft evaporative fabric cooling tower was conducted. Such a cooling tower can be rapidly deployed and can improve living conditions in hot, arid environments where temporary structures are needed for emergency shelters or special events. Previous experiments to verify the numerical performance model took place under nonideal ambient conditions. The downdraft flow was driven by very small density differences for the given ambient conditions and in the absence of wind pressure effects. For those test conditions,thepredicted moist air volume flow rate uncertainty was approximately equal to the magnitude of the measured value, and the moist air density uncertainty dominated the calculated volume flow rate uncertainty. The present investigation confirmed that uncertainties associated with the volume flow measurements are insufficient to account for the discrepancies observed between model predictions and experimentally determined values. A parametric study was performed where quantities such as the minor loss coefficients, spray water temperature, ambient dry-bulb temperature, ambient relative humidity, and ambient cross flow wind velocity were varied individually to facilitate comparison to a baseline case. It was shown that the inaccuracy in the spray water temperature measurements was insufficient to entirely account for the discrepancies between measured and predicted moist airflow rates. Furthermore, this study demonstrated that the performance of the fabric evaporative cooling tower was enhanced in situations where steady wind conditions existed using a wind capture device.
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