Quantification of thermal environments and comfort expectations of residents in hostel dormitories during hot and humid days in Indian composite climate

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Advances in Building Energy Research Pub Date : 2020-04-01 DOI:10.1080/17512549.2020.1746928
Sanjay Kumar, A. Mathur, Rajeev Kukreja, A. Bagha
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引用次数: 6

Abstract

ABSTRACT Improved quality of the thermal environment in hostel buildings will have a constructive role in the health, learning and overall productivity of student’s activities. We, therefore, conducted a thermal comfort field study in two mid-rise naturally ventilated (NV) hostel buildings during rainy days (August–September, 2018). The field study conducted for three consecutive weeks collecting 642 valid subjective responses (out of 679 sample) with objective information of thermal environments in 253 rooms at different floor levels. Statistical analysis of measured thermal variables was performed for assessing the effects on student’s thermal perception considering inter buildings effects, different weather conditions and different daytime duration, respectively. The study reported higher comfort bandwidth of 25.2–33.3°C for the studied group. Results of present study are compared with Predicted Mean Vote (PMV), Predicted Mean Vote with expectancy factor (PMVe) and adaptive Predicted Mean Vote (aPMV). aPMV is observed to be more reliable than PMV and PMVe to estimate the actual thermal sensation of occupants. Further, field study results are showing good agreement with the adaptive comfort models for NV buildings in India. Highlights Study quantifies thermal environments of two multi-storey NV hostel buildings. About 76% responses voted comfortable (±1 TS scale). Comfort bandwidth for occupant's ranges between 25.2–33.3°C for the study period. aPMV model of thermal comfort predicts TS more closely than PMV or PMVe model. Indian composite climate-specific adaptive models fit better with present data base.
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印度复合气候中湿热天气期间宿舍居民热环境和舒适度预期的量化
宿舍楼热环境质量的改善将对学生的健康、学习和活动的整体生产力起到建设性作用。因此,我们在雨天(2018年8月至9月)对两栋中层自然通风(NV)宿舍楼进行了热舒适性实地研究。这项连续三周进行的实地研究收集了642个有效的主观反应(679个样本),其中包括253个不同楼层房间的热环境客观信息。对测量的热变量进行统计分析,以评估分别考虑建筑间效应、不同天气条件和不同白天持续时间对学生热感知的影响。该研究报告称,研究组的舒适度带宽更高,为25.2–33.3°C。将本研究的结果与预测平均投票率(PMV)、预测平均投票与预期因素(PMVe)和自适应预测平均投票(aPMV)进行比较。aPMV被观察到比PMV和PMVe更可靠,以估计乘员的实际热感觉。此外,现场研究结果显示,与印度NV建筑的自适应舒适度模型吻合良好。亮点研究量化了两栋多层NV宿舍楼的热环境。约76%的回答表示满意(±1TS量表)。研究期间,乘员的舒适度带宽范围在25.2–33.3°C之间。热舒适度的PMV模型比PMV或PMVe模型更能预测TS。印度特定气候的综合适应模型与现有数据库更为吻合。
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来源期刊
Advances in Building Energy Research
Advances in Building Energy Research CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.80
自引率
5.00%
发文量
11
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