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Evaluation of comfort preferences and insights into behavioural adaptation of students in naturally ventilated classrooms in a tropical country, India

机译:印度热带国家自然通风教室的学生对舒适性偏好的评价和对学生行为适应的见解

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A transverse questionnaire based thermal comfort field study was conducted in 30 naturally ventilated university classrooms during peak summer months in composite climate of India. A detailed statistical analysis was carried out on 900 thermal comfort surveys database containing information about sensation and preference for different indoor environmental variables. Neutral temperature predicted through linear regression method varied more than 3 degrees C for different surveyed buildings. More than 90% comfortable votes (+/- 1 votes) of the present database do fit within adaptive comfort boundaries for this climatic zone of India. Additionally, the study estimated a preferred temperature of 26.4 degrees C using probit analysis. During the field study, personal and global adaptive actions (adaptive actions that tend to modify the indoor environment of classroom) of students during regular classes were recorded and analyzed. Analysis concluded that students preferred high air speed ranges for restoring comfort either by opening windows and doors as or by operating ceiling fans. Logistic regression model predicts more than 80% ceiling fan usage at indoor air temperature 29 degrees C.
机译:在夏季的高峰月份,在印度的复合气候下,在30个自然通风的大学教室中进行了基于横向问卷的热舒适性现场研究。在900个热舒适性调查数据库中进行了详细的统计分析,其中包含有关不同室内环境变量的感觉和偏好的信息。通过线性回归方法预测的中性温度对于不同的被调查建筑物变化超过3摄氏度。当前数据库的90%舒适票(+/- 1票)符合印度这个气候区的适应舒适范围。此外,研究使用概率分析估计了26.4摄氏度的最佳温度。在实地研究期间,记录并分析了学生在常规课程中的个人和全局适应行为(倾向于改变教室室内环境的适应行为)。分析得出的结论是,学生可以通过打开门窗或通过操作吊扇来选择高风速范围来恢复舒适感。 Logistic回归模型预测,在室内气温为29摄氏度时,吊扇的使用率将超过80%。

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