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 

机构地区：[1]School of Civil Engineering and Architecture,Zhejiang Sci-Tech University,Hangzhou 310018,Zhejiang,China [2]Joint International Research Laboratory of Green Buildings and Built Environments(Ministry of Education),Chongqing University,Chongqing 400045,China [3]National Centre for International Research of Low-carbon and Green Buildings(Ministry of Science and Technology),Chongqing University,Chongqing 400045,China [4]Department of Mechanical Engineering,Aalto University,02150 Espoo,Finland [5]College of Urban Construction,Nanjing Tech University,Nanjing 210009,China [6]The Bartlett School of Construction and Project Management,University College London,WC1E 7HB,UK

出　　处：《Building Simulation》2021年第6期1651-1665,共15页建筑模拟（英文）

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.

摘　　要：Individual thermal comfort models based on physiological parameters could improve the efficiency of the personal thermal comfort control system.However,the effect of thermal history has not been fully addressed in these models.In this study,climate chamber experiments were conducted in winter using 32 subjects who have different indoor and outdoor thermal histories.Two 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 parameters.Results show the accuracies of individual thermal sensation prediction was low to about 30%by using the PMV index in cold environments of this study.Base 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 model.With 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 prediction.Thus,when predicting thermal demands in winter,the factor of thermal history should be considered.

关 键 词：thermal comfort cold adaptation thermal sensation skin temperature heart rate 

分 类 号：TU17[建筑科学—建筑理论]