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Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures

机译：基于室外空气和室内工作温度的动态预测衣物隔热模型

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Clothing affects people's perception of the thermal environment. Two dynamic predictive models of clothing insulation were developed based on 6333 selected observations of the 23,475 available in ASHRAE RP-884 and RP-921 databases. The observations were used to statistically analyze the influence of 20 variables on clothing insulation. The results show that the median clothing insulation is 0.59 do (0.50 do (n = 3384) in summer and 0.69 clo (n = 2949) in winter). The median winter clothing insulation value is significantly smaller than the value suggested in the international standards (1.0 clo). The California data (n = 2950) shows that occupants dress equally in naturally and mechanically conditioned buildings and all the data has female and male dressing with quite similar clothing insulation levels. Clothing insulation is correlated with outdoor air (r = 0.45) and indoor operative (r = 0.3) temperatures, and relative humidity (r = 0.26). An index to predict the presence of a dress code is developed. Two multivariabie linear mixed models were developed. In the first one clothing is a function of outdoor air temperature measured at 6 o'clock, and the second one adds the influence of indoor operative temperature. The models were able to predict 19 and 22% of the total variance, respectively. Climate variables explain only a small part of human clothing behavior; nonetheless, the predictive models allow more precise thermal comfort calculation, energy simulation, HVAC sizing and building operation than previous practice of keeping the clothing insulation values equal to 0.5 in the cooling season and 1 in the heating season.
机译：服装会影响人们对热环境的感知。根据ASHRAE RP-884和RP-921数据库中提供的23,475个选定的6333个观测值，开发了两个服装保温动态预测模型。观察结果用于统计分析20个变量对衣物隔热的影响。结果表明，衣物隔热的中位数为0.59 do（夏季为0.50 do（n = 3384），冬季为0.69 clo（n = 2949））。冬季衣物隔热材料的中值明显小于国际标准中建议的值（1.0克）。加利福尼亚州的数据（n = 2950）显示，居住者在自然和机械条件良好的建筑物中穿着均匀，并且所有数据中的女性和男性穿着都具有非常相似的衣物隔热水平。衣服的隔热性能与室外空气（r = 0.45）和室内工作温度（r = 0.3）和相对湿度（r = 0.26）相关。开发了一个预测着装要求的索引。开发了两个多元线性混合模型。第一件衣服是在6点钟测量的室外空气温度的函数，第二件衣服则增加了室内工作温度的影响。该模型能够分别预测总方差的19％和22％。气候变量只能解释人类服装行为的一小部分。但是，与以前的做法（在冷却季节使衣服隔热值等于0.5并在加热季节使隔热值等于1）相比，预测模型能够提供更精确的热舒适性计算，能量模拟，HVAC尺寸确定和建筑操作。

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