基于室内对流换热人体热反应模型的生理参数预测

为了在不同对流换热方式的室内环境中对皮肤温度、核心温度等人体生理参数进行有效的预测,基于Fiala模型,综合考虑不同对流方式对人与环境换热量的影响,尤其是通过修正不同对流方式的对流换热系数、平均辐射温度以及服装热阻等,建立了室内对流环境中的人体热反应模型。通过将模拟值与文献实验值进行对比来验证所建模型的有效性,结果表明两者高度吻合。在自然对流、混合对流环境下,平均皮肤温度预测误差以及受迫对流环境下人体大部分部位局部温度预测误差均小于1℃。所建模型可用于各种对流空调环境下的人体生理参数预测,为新型对流空调系统设计、评估以及规范修正等提供参考。

A Human Thermal Model of Convective Heat Transfer Proposed to Assess Physiological Parameters

This paper presents a human thermal model that is used to predicting thermal physiology of the human body, such as skin temperature and core temperature, to assess human comfort in kinds of convective conditions. Based on Fiala-model, this model includes the effect of different types of convection on the heat transfer coefficient and mean radiant temperature. The developed model has been validated by comparing subject test in three different ventilated cases. The predicting errors of mean skin temperature in natural, mix convection and local skin temperature in forced convection are less than 1 oC. Thus, the present model can be used to predict physiological behavior of human body in various ventilated environment as a foundation for estimate of human thermal comfort of new ventilated technologies and revision of design specifications.