Abstract Urban residents are increasingly encouraged to go outside for recreational and relaxing purposes, which may improve personal health and reduce building energy consumption. Therefore, it is important to understand the heat transfer between human body and surrounding urban outdoor environments. This study aims to predict the convective heat loss from a human body subject to urban outdoor wind environments. Firstly, the effects of the wind velocity and turbulent conditions on the convective heat loss from human body are investigated through a computational thermal manikin model, which is validated against published experimental data. Subsequently, wind data from onsite measurements in the city of Sydney, Australia is used to predict human body's convective heat loss using numerically obtained empirical correlations. The present result shows that the convective heat loss of most body segments increases with increasing wind velocity and turbulent intensity and decreasing turbulence length scale. Empirical correlations for predicting the convective heat transfer coefficients as a function of the wind velocity, turbulent intensity and turbulence length scale are derived based on simple-geometry assumptions. It is found that, at a given wind velocity with the ranges of the turbulence conditions from the field measurements, the variations between the high and low values of the convective heat transfer coefficient can be up to 67%. The results of this study demonstrate the significance of capturing the turbulent wind conditions for accurately predicting heat loss for outdoor thermal comfort studies.

中文翻译：

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受室外风环境影响的计算热模型的对流热损失

摘要 越来越多地鼓励城市居民外出娱乐和放松，这可以改善个人健康并减少建筑能耗。因此，了解人体与周围城市室外环境之间的热传递非常重要。本研究旨在预测受城市室外风环境影响的人体对流热损失。首先，通过计算热人体模型研究了风速和湍流条件对人体对流热损失的影响，并根据已发表的实验数据进行了验证。随后，来自澳大利亚悉尼市现场测量的风数据用于使用数值获得的经验相关性来预测人体的对流热损失。目前的结果表明，大多数体节的对流热损失随着风速和湍流强度的增加以及湍流长度尺度的减小而增加。基于简单几何假设推导出对流换热系数作为风速、湍流强度和湍流长度尺度的函数的经验相关性。发现，在给定的风速和来自现场测量的湍流条件范围内，对流传热系数的高值和低值之间的变化可高达 67%。这项研究的结果证明了捕捉湍流风条件对于准确预测室外热舒适性研究的热量损失的重要性。