Institute of Environmental Sciences and Engineering (IESE), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST) H-12 Campus, Islamabad, 44000, Pakistan.
Institute of Environmental Sciences and Engineering (IESE), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST) H-12 Campus, Islamabad, 44000, Pakistan.
J Therm Biol. 2022 Dec;110:103357. doi: 10.1016/j.jtherbio.2022.103357. Epub 2022 Oct 7.
Formulation of indoor thermal comfort guidelines is challenging task considering the fact that these guidelines are supposed to address both, the expectations of the building occupants' regarding indoor thermal comfort, and optimize building energy use, under aggravating conditions of outdoor climate and availability and price volatility of energy. Therefore, a field survey was conducted to assess indoor thermal comfort in two female and three male dormitory buildings. Afterwards, a comparative analysis of three comfort temperature prediction models (linear, cubic and logistic) was conducted. In total, 971 survey forms were collected during the two seasons (summer and winter). Two-third of the data was used to develop the models, while remaining one-third was used to test the accuracies. Although thermal sensation votes of both genders were statistically different, no statistical difference in indoor comfort temperature between the two genders was observed. Comfort temperatures were calculated as 26.4 °C and 27.8 °C during summer and 22.7 °C and 22.4 °C during winters for female and male occupants respectively, using liner regression method. Following the Griffth's method mean operative comfort temperatures were calculated as 26.8 ± 1.5 °C and 27.6 ± 1.7 °C during summer and 22.7 ± 2.3 °C and 22.3 ± 2.0 °C during winter for female and male occupants respectively. Percentage accuracies of three prediction methods under study showed better performance of logistic regression.
制定室内热舒适指南是一项具有挑战性的任务，因为这些指南既要满足建筑使用者对室内热舒适的期望，又要在户外气候条件恶劣、能源可用性和价格波动的情况下优化建筑能源使用。因此，进行了一项现场调查，以评估两座女宿舍和三座男宿舍的室内热舒适情况。之后，对三种舒适温度预测模型（线性、三次和逻辑）进行了比较分析。在两个季节（夏季和冬季）共收集了 971 份调查问卷。三分之二的数据用于开发模型，三分之一的数据用于测试准确性。尽管两性的热感觉投票在统计学上有所不同，但两性的室内舒适温度没有观察到统计学上的差异。使用线性回归法，女性和男性居住者在夏季的舒适温度分别计算为 26.4°C 和 27.8°C，在冬季的舒适温度分别计算为 22.7°C 和 22.4°C。根据格里菲斯的方法，女性和男性居住者在夏季的平均操作舒适温度分别计算为 26.8°C±1.5°C 和 27.6°C±1.7°C，在冬季的平均操作舒适温度分别计算为 22.7°C±2.3°C 和 22.3°C±2.0°C。在所研究的三种预测方法中，准确性百分比显示逻辑回归的性能更好。
