Abstract
Currently, the demand on thermal comfort of architectural environment is becoming higher and higher, the establishment of thermal comfort model based on the physiological parameters plays an important role in improving the indoor thermal comfort and building energy efficiency. The mean skin temperature, skin conductance, and heart rate are three main physiological parameters used to characterize the thermal comfort state of the human body, which will be of great significance to establish the thermal comfort model. In this paper, the physiological experimental program was designed in detail and the subjective questionnaires ruler was classified involving thermal sensation, thermal comfort, and sweat rate. Then, the human subjective thermal response distribution and the regular pattern were analyzed according to the vote on the state of thermal comfort and physiological parameters of subjects under five experimental conditions. As a result, the multiple physiological modeling of indoor human thermal comfort was performed by using partial least squares (PLS) method based on mean skin temperature, skin conductance, and heart rate. Furthermore, the experiments aimed at evaluating the accuracy of the established indoor human thermal comfort model were performed, the results indicate the accuracy of the established model is satisfactory.
Published Version
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