New considerations for representing moisture in indoor thermal conditions: Associations between enthalpy, cognitive performance, and thermal sensations

Sandra Dedesko , Joseph Pendleton , Anna S. Young , Brent A. Coull , John D. Spengler , Joseph G. Allen
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Abstract

Motivated by limitations with the use of temperature and thermal comfort models in relation to occupant health outcomes, this work investigates numerous characterizations of thermal conditions and associations among these thermal variables, cognitive performance, and thermal perceptions. Measurements of classroom dry-bulb temperature and relative humidity were used to calculate a suite of eleven thermal variables, which were paired with thermal sensation votes and cognitive test responses from graduate students attending classes in these monitored spaces, resulting in an analysis dataset of 273 observations from 54 participants. Results from Spearman Rank correlation coefficients, factor analysis, and principal component analysis suggest that the eleven thermal variables cluster into three groups that reflect variations in indoor temperature, indoor relative humidity, and indoor-outdoor differences. While several variables appear to reflect variations in only air temperature (e.g., PMV estimates) or moisture, indoor enthalpy appears to reflect variations in temperature and RH in the most balanced manner. A series of mixed effects statistical models suggest that higher values of indoor enthalpy appear to be associated with improved cognitive test scores and warm sensations, and warm sensations appear to be associated with improved cognitive test scores. The collective results posit new considerations for the importance of indoor moisture with respect to occupant outcomes and how commonly used modelling approaches may not reflect this. Additional research that incorporates diverse populations, varied built environments, and causal methods could help further our understanding of the effects of air temperature and moisture on occupant outcomes in varied built environment settings.
在室内热条件下表示湿度的新考虑:焓、认知表现和热感觉之间的联系
由于使用与居住者健康结果相关的温度和热舒适模型的局限性,本研究调查了热条件的许多特征以及这些热变量、认知表现和热感知之间的关联。教室干球温度和相对湿度的测量值被用来计算一套11个热变量,这些变量与在这些监测空间上课的研究生的热感觉投票和认知测试反应配对,从而产生来自54名参与者的273个观察结果的分析数据集。Spearman秩相关系数、因子分析和主成分分析结果表明,11个热变量聚为3组,分别反映了室内温度、室内相对湿度和室内外差异的变化。虽然有几个变量似乎只反映空气温度(例如,PMV估计值)或湿度的变化,但室内焓似乎以最平衡的方式反映温度和相对湿度的变化。一系列混合效应统计模型表明,较高的室内焓值似乎与提高认知测试成绩和温暖感觉有关,而温暖感觉似乎与提高认知测试成绩有关。总体结果提出了新的考虑因素,即室内湿度对居住者结果的重要性,以及常用的建模方法可能无法反映这一点。结合不同人口、不同建筑环境和因果方法的其他研究可以帮助我们进一步了解空气温度和湿度对不同建筑环境中居住者结果的影响。
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