TY - JOUR
T1 - Development of the Predicted Thermal Sensation (PTS) model using the ASHRAE Global Thermal Comfort Database
AU - Ji, Wenjie
AU - Zhu, Yingxin
AU - Cao, Bin
N1 - Publisher Copyright:
© 2020
PY - 2020/3/15
Y1 - 2020/3/15
N2 - 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.
AB - 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.
KW - ASHRAE Global Thermal Comfort Database
KW - Standard effective temperature (SET)
KW - Thermal adaptation
KW - Thermal comfort model
KW - Thermal sensation
UR - http://www.scopus.com/inward/record.url?scp=85078988698&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2020.109780
DO - 10.1016/j.enbuild.2020.109780
M3 - Article
AN - SCOPUS:85078988698
SN - 0378-7788
VL - 211
JO - Energy and Buildings
JF - Energy and Buildings
M1 - 109780
ER -