A Multi-factor Comprehensive Model of Human Thermal Sensation in Free-running Built Environment in Summer in Xi'an, China

Abstract

Clarifying the influence degree of various factors that affect human thermal sensation in free-running built environment, can provide quantitative control basis for indoor thermal environment creation and behavioral adjustment based on thermal sensation evaluation. To this end, the college student apartment buildings in Xi'an were selected as the survey location, and a thermal comfort field survey was conducted in the summer, and 1160 effective questionnaires were obtained; by analyzing the factors affecting human body heat balance, 7 parameters that affected the human thermal sensation under free-running conditions were screened out as index variables. Statistical regression method was used to establish a multi-factor comprehensive model of human thermal sensation (principal component regression model) for summer in Xi'an, and the scoring coefficient for each parameters in the model was also obtained; the predicted thermal sensation (PMTS) calculated by the comprehensive model was compared with the measured thermal sensation (MTS), and the fitting relationship of PMTS against indoor air temperature (t) was compared with that of MTS against t as well, the results show that the accuracy of the comprehensive model is fine; the influence of each factor on thermal sensation was quantified and compared, and then the priority way to improve the thermal comfort in summer in Xi'an for free-running buildings was obtained.