文章摘要
代金,姜曙光,徐鑫,吴梦云.基于性别的严寒地区高校教学楼自然通风热舒适性研究[J].,2019,18(4):306-314
基于性别的严寒地区高校教学楼自然通风热舒适性研究
Natural ventilation thermal comfort of college buildings in severe cold regions based on gender
投稿时间:2018-12-25  修订日期:2019-03-26
DOI:10.13738/j.issn.1671-8097.018250
中文关键词: 严寒地区  热舒适  性别  教学楼  自然通风
英文关键词: severe cold regions  thermal comfort  gender  college building  natural ventilation
基金项目:兵团重大科技项目课题1 (2016AA00601)
作者单位E-mail
代金 石河子大学 水利建筑工程学院 1554232772@qq.com 
姜曙光 石河子大学 水利建筑工程学院 jsg99999@126.com 
徐鑫 石河子大学 水利建筑工程学院  
吴梦云 石河子大学 水利建筑工程学院  
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中文摘要:
      严寒地区夏季采用自然通风作为被动式降温手段,改善空气品质的同时减少能耗,其热舒适性会受到多因素影响。对严寒地区夏季自然通风条件下两种建筑布局的高校教学楼热环境进行实测,对影响热舒适的三种因素,温度、湿度以及受试者体重指数(bady mass index,BIM)进行调查研究,基于在室人员不同性别,进行差异性、相关性和显著性对比分析。结果表明,内廊式教学楼较中庭式教学楼有更好的热舒适性;操作温度与热舒适性密切相关,中性温度为27.96℃,其中男性为27.51℃,女性为28.26℃;相对湿度与操作温度负相关,且对热舒适性有较大影响;BMI与热舒适性呈现较低的相关性,其并不能明显影响热舒适性,但相同BMI下,男性热感觉略高于女性;利用Griffiths评价模型能准确预测严寒地区夏季舒适温度。
英文摘要:
      Natural ventilation is used as a passive cooling method in summer to improve air quality while reducing energy consumption in severe cold regions. The thermal comfort is affected by many factors. The thermal environment of school buildings is measured under two kinds of architectural layouts withr natural ventilation conditions in severe cold regions in summer. Three factors affecting thermal comfort including temperature, humidity and the BMI are investigated. Comparative analysis of differences, correlations and significance based on the gender studies is carried out. The results show that the inner gallery-style teaching building has better comfort than the atrium-style teaching building. The operating temperature is closely related to the thermal comfort, and the neutral temperature is 27.96 °C, which is 27.51 °C for men and 28.26 °C for women; Humidity is negatively correlated with operating temperature and has a greater impact on thermal comfort. BMI has a lower correlation with thermal comfort and does not significantly affect thermal comfort, but under the same BMI, males feel slightly higher than women; The Griffiths evaluation model can accurately predict the summer comfort temperature in severe cold regions.
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