Individual thermal comfort prediction using classification tree model based on physiological parameters and thermal history in winter

作     者：Yuxin Wu Hong Liu Baizhan Li Risto Kosonen Shen Wei Juha Jokisalo Yong Cheng Yuxin Wu;Hong Liu;Baizhan Li;Risto Kosonen;Shen Wei;Juha Jokisalo;Yong Cheng

作者机构：School of Civil Engineering and ArchitectureZhejiang Sci-Tech UniversityHangzhou 310018ZhejiangChina Joint International Research Laboratory of Green Buildings and Built Environments(Ministry of Education)Chongqing UniversityChongqing 400045China National Centre for International Research of Low-carbon and Green Buildings(Ministry of Science and Technology)Chongqing UniversityChongqing 400045China Department of Mechanical EngineeringAalto University02150 EspooFinland College of Urban ConstructionNanjing Tech UniversityNanjing 210009China The Bartlett School of Construction and Project ManagementUniversity College LondonWC1E 7HBUK 

出 版 物：《Building Simulation》 (建筑模拟（英文）)

年 卷 期：2021年第14卷第6期

页      面：1651-1665页

核心收录：

学科分类：08[工学] 081304[工学-建筑技术科学] 0813[工学-建筑学] 

基　　金：This research was financially supported by the National Key Research and Development Program of China(No.2019YFE0100300-05) the Fundamental Research Funds for the Central Universities(No.2020CDCGJ027) the 111 Project(No.B13041) Academy of Finland(No.329306) The author,Yuxin Wu,would like to thank the Chinese Scholarship Council(No.201806050244)for their sponsorship of a research visiting study aboard at Aalto University in Finland 

主　　题：thermal comfort cold adaptation thermal sensation skin temperature heart rate 

摘      要：Individual thermal comfort models based on physiological parameters could improve the efficiency of the personal thermal comfort control ***,the effect of thermal history has not been fully addressed in these *** this study,climate chamber experiments were conducted in winter using 32 subjects who have different indoor and outdoor thermal *** kinds of thermal conditions were investigated:the temperature dropping(24-16℃)and severe cold(12℃)conditions.A simplified method using historical air temperature to quantify the thermal history was proposed and used to predict thermal comfort and thermal demand from physical or physiological *** show the accuracies of individual thermal sensation prediction was low to about 30%by using the PMV index in cold environments of this *** on the sensitivity and reliability of physiological responses,five local skin temperatures(at hand,calf,head,arm and thigh)and the heart rate are optimal input parameters for the individual thermal comfort *** the proposed historical air temperature as an additional input,the general accuracies using classification tree model C5.0 were increased up by 15.5%for thermal comfort prediction and up by 29.8%for thermal demand ***,when predicting thermal demands in winter,the factor of thermal history should be considered.