A quantitative evaluation model of outdoor dynamic thermal comfort and adaptation: A year-long longitudinal field study

被引:13
|
作者
Xu, Tiantian [1 ,2 ]
Yao, Runming [1 ,2 ,3 ]
Du, Chenqiu [1 ,2 ]
Li, Baizhan [1 ,2 ]
Fang, Fangxin [4 ]
机构
[1] Chongqing Univ, Joint Int Res Lab Green Bldg & Built Environm, Minist Educ, Chongqing 400045, Peoples R China
[2] Chongqing Univ, Natl Ctr Int Res Low carbon & Green Bldg, Minist Sci & Technol, Chongqing 400045, Peoples R China
[3] Univ Reading, Sch Built Environm, Reading RG6 6DB, England
[4] Imperial Coll London, Dept Earth Sci & Engn, Appl Modelling & Computat Grp, Prince Consort Rd, London SW7 2AZ, England
关键词
Outdoor dynamic thermal comfort; Past thermal experience; Thermal adaptation; Outdoor adaptive thermal comfort model; Thermal comfort evaluation; SEASONAL DIFFERENCES; NEUTRAL TEMPERATURE; URBAN SPACES; CLIMATE; INDEX; HOT; ENVIRONMENTS; SENSATION; IMPACT; UTCI;
D O I
10.1016/j.buildenv.2023.110308
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The understanding of human outdoor thermal comfort demand and thermal adaptation contributes to sustainable urban design as well as city resilience in the context of human health and wellbeing. Humans' past thermal experience influence their outdoor thermal comfort. However, the quantitative relationship between the past thermal experience and outdoor thermal comfort is still not clear. This study aims to reveal quantitative relations of the impact of people's past thermal experience on adaptive thermal comfort and to develop a new outdoor adaptive thermal comfort model. A year-long longitudinal questionnaire survey along with a combination of outdoor thermal environment campaigns was carried out in Chongqing, China. It began on August 15, 2020, and finished on August 19, 2021. Through the analysis of 2240 valid responses to the questionnaire survey, the outdoor thermal adaptation characteristic and dynamic thermal comfort evaluation of the respondents were revealed. The results show that the quantified temperature of past outdoor thermal experience is the quadratic correlation with the thermal sensitivity coefficient and deviation constant, and the linear correlated with outdoor thermal demands. Based on the quantitative analysis, a new outdoor adaptive thermal comfort model has been developed as a function of the exponentially weighted sum of historical mean air temperature series (MeanTrm). The outdoor adaptive thermal comfort zones by 80% and 90% satisfactions thereby have been first drawn based on the Universal Thermal Climate Index (UTCI). The study developed a methodology for the evaluation of dy-namic outdoor thermal comfort which can be used for different climate regions.
引用
收藏
页数:14
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