Abstract As an important factor in indoor human thermal comfort, the wind is investigated in the present study using a fully validated human body-environment interface model based on CFD technology. The three parameters of air speed (va, 0.5–2 m/s), turbulence intensity (TI, 5%–40%) and wind direction (0°–180°) were simulated to study their influence on the convective heat transfer coefficient (hc) at the surface of the human body. It was found that va influenced the value of hc more than TI. The influence of TI on hc reached a steady level when va was above 1.5 m/s; for example the greatest rate of change of hc at the head remained at 52% as the TI was increased from 5% to 40%. The wind direction had a noticeable influence on the overall hc when the va was above 0.5 m/s. A 90° wind (i.e. from the right side) gave a value of hc that was about 20% lower than wind from other directions, and led to an asymmetrical distribution of hc over the body surface. Locally, the wind direction did not influence hc at the head and feet, and influenced the central segments more than the limbs. Two regression equations for the correlations between hc and va, TI and wind direction were also generated and validated for continuous evaluation of hc. The resulting database of values for hc can be used in combination with the human thermoregulation models for thermal response prediction in built spaces with increased air speed.

中文翻译：

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通风室内风对人体对流传热影响的数值研究

摘要 作为影响室内人体热舒适度的重要因素，本研究使用基于 CFD 技术的经过充分验证的人体-环境界面模型对风进行了研究。模拟风速(va, 0.5–2 m/s)、湍流强度(TI, 5%–40%)和风向(0°–180°)三个参数对对流传热系数的影响(hc) 在人体表面。发现 va 对 hc 值的影响大于对 TI 的影响。当va大于1.5 m/s时，TI对hc的影响达到稳定水平；例如，当 TI 从 5% 增加到 40% 时，头部 hc 的最大变化率保持在 52%。当 va 大于 0.5 m/s 时，风向对整体 hc 有显着影响。90° 风（即 从右侧）给出的 hc 值比来自其他方向的风低约 20%，并导致 hc 在体表上的不对称分布。局部风向对头部和足部的hc没有影响，对中央节段的影响大于对四肢的影响。还生成了两个回归方程，用于 hc 和 va、TI 和风向之间的相关性，并验证了 hc 的连续评估。生成的 hc 值数据库可与人体体温调节模型结合使用，以预测风速增加的建筑空间中的热响应。对中央节段的影响大于对四肢的影响。还生成了两个回归方程，用于 hc 和 va、TI 和风向之间的相关性，并验证了 hc 的连续评估。生成的 hc 值数据库可与人体体温调节模型结合使用，以预测风速增加的建筑空间中的热响应。对中央节段的影响大于对四肢的影响。还生成了两个回归方程，用于 hc 和 va、TI 和风向之间的相关性，并验证了 hc 的连续评估。生成的 hc 值数据库可与人体体温调节模型结合使用，以预测风速增加的建筑空间中的热响应。