Investigating current trends in clothing insulation using a global thermal comfort database

Clothing insulation is a key parameter to assess thermal comfort and one of the most difficult parameters estimate in field studies. The recent ASHRAE Global Thermal Comfort Database II contains large sample clothing addition wide range other contextual parameters. However, database does not provide details on whether included additional that provided by chairs for seated occupants. This may affect predictions. objective this study was analyse I II. First, information ensemble chair collected complement Then, predictive models were derived office buildings, combined used sensitivity Predicted Mean Vote (PMV) insulation. developed model can predict as function indoor air temperature, season building ventilation type (air-conditioning, natural or mixed-mode). PMV predictions improved accounting insulation, which further impact environment classification according European standard EN 16798-1.