Thermal environment measurement and thermal comfort prediction for university classrooms in Xiamen in winter

To examine human’s thermal sensation in the non-air-conditioned environment in winter, performs field test in a university classroom in Xiamen. Measures indoor and outdoor thermal comfort parameters and obtains the thermal response samples from the objects by means of questionnaires. Analyses the samples, and concludes that the thermal neutral temperature and the thermal preferred temperature is 19.3 ℃ and 19.4 ℃ respectively. Considering the impact of temperature, relative humidity, mean radiant temperature, velocity and clothing thermal resistance on thermal comfort of sedentary slight activity, establishes a thermal comfort prediction equation under the non-air-conditioned condition by nonlinear regression using the MATLAB software. The results from the equation have higher correlation with that of thermal comfort votes and it reflects the variation of human thermal sensation in non-air-conditioned environment in winter to a larger extent.