Development of the Predicted Thermal Sensation (PTS) model using the ASHRAE Global Thermal Comfort Database

Abstract

In this study, existing thermal comfort models were reconsidered and analysed. A new predicted thermal sensation (PTS) model was developed, in which Gagge's two-node model was used for the calculation of thermal regulation. This model was established using data from the ASHRAE Global Thermal Comfort Database and the index of standard effective temperature (SET). This model could not only predict human thermal sensations in various environmental conditions, but also reflect the discrepancies in thermal adaptation in different taxonomies. PTS models were developed for the classification of different climatic zones in China. In addition, worldwide PTS models were proposed for the typical climate types. Some of the data from field studies were introduced to validate these models. The rationality and accuracy were demonstrated, indicating that the PTS model was a practical, flexible, and effective choice for guiding building construction, as well as for evaluating an actual thermal environment. Moreover, further directions for the model's future development were indicated.