Adjustments of the adaptive thermal comfort model based on the running mean outdoor temperature for Chinese people: A case study in Changsha China
Adjustments of the adaptive thermal comfort model based on the running mean outdoor temperature for Chinese people: A case study in Changsha China
复制标题
基于中国人跑步平均室外温度的自适应热舒适模型调整——以中国长沙为例
DOI：
10.1016/j.buildenv.2016.12.038
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发表时间：
2017-03
影响因子：
7.4
通讯作者：
Weiwei Liu
中科院分区：
文献类型：
--
作者：
Diyu Yang;Jing Xiong;Weiwei Liu
提出了一种基于室外运行平均温度建立中国人自适应热舒适模型的方法。本文重点研究了自适应热舒适模型中两个重要参数（中性温度和室外温度）的确定。2010年1月至2011年2月，对长沙市两栋自然通风办公楼进行了纵向调查。在调查过程中，调查了受试者的热感觉，每天测量室内温度。根据实测数据，确定了中性点温度和运行平均室外温度。通过量化中性温度与室外运行平均温度之间的关系，建立了自适应热舒适模型。结果表明，基于室外运行平均温度的自适应热舒适模型能较好地反映两栋办公楼中性温度随长沙气候的变化。该研究为基于运行平均温度的自适应热舒适模型的调整提供了一种可靠的方法。
A method to develop an adaptive thermal comfort model based on the running mean outdoor temperature for Chinese people was proposed. The determination of two important parameters (neutral temperature and outdoor temperature) in the adaptive thermal comfort model was the focus of this work. A longitudinal survey was conducted from Jan. 2010 to Feb. 2011 in two naturally ventilated office buildings located in Changsha, China. During the survey, the thermal sensation of the subjects was investigated, and the indoor temperature was measured daily. Based on the field data, the neutral temperature and the running mean outdoor temperature were determined. Further, an adaptive thermal comfort model was established by quantifying the relationship between the neutral temperature and the running mean outdoor temperature. The results show that the adaptive thermal comfort model based on the running mean outdoor temperature can well reflect the change of neutral temperature in the two office buildings with the climate of Changsha China. This study provides a reliable method to adjust the adaptive thermal comfort model based on the running mean temperature for Chinese people.
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影响因子：
6.7
作者：
Kathryn J McCartney;J. F. Nicol
通讯作者：
Kathryn J McCartney;J. F. Nicol
影响因子：
6.7
作者：
Baizhan Li;R. Yao;Qinqing Wang;Yungang Pan
通讯作者：
Baizhan Li;R. Yao;Qinqing Wang;Yungang Pan
DOI：
10.1016/j.egypro.2015.07.237
发表时间：
2015-08
期刊：
Energy Procedia
影响因子：
--
作者：
Liu Yang;Wuxing Zheng;Yan Mao;J. C. Lam;Y. Zhai
通讯作者：
Liu Yang;Wuxing Zheng;Yan Mao;J. C. Lam;Y. Zhai
影响因子：
7.4
作者：
Weiwei Liu;Qihong Deng;Wei-wu Ma;Huangfu Hao;J. Zhao
通讯作者：
Weiwei Liu;Qihong Deng;Wei-wu Ma;Huangfu Hao;J. Zhao
影响因子：
7.4
作者：
Liu, Weiwei;Lian, Zhiwei;Liu, Yuanmou
通讯作者：
Liu, Yuanmou