Personal Comfort data for Brisbane

The presentation discusses preliminary findings from a field study on personal thermal comfort using low-cost monitoring equipment in Brisbane, Australia. The study involves the collection of occupant feedback and indoor climate data from five different air-conditioned office buildings. Analysing the collected data, it was found that the predicted mean vote (PMV) model overestimates thermal sensations indicated by participants. The field study methodology based on low-cost equipment was found to be reliable and user-convenient and can facilitate the collection of more thermal comfort data in the future. This will open new ways to comfort modelling by integrating emerging technologies like AI and data science into comfort prediction and building simulation workflows.