Online & Oslo, Norway
21-23 June 2021
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Plenary session 3: Thermal Comfort
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A paradigm-shift in accurate individualized & digitized thermal comfort prediction
University of Sydney, Australia
We now have cutaneous thermoreceptor impulses for human subjects undergoing various thermal environmental transients and have trained an artificial intelligence model to recognise and rate thermal pleasure or displeasure experienced by subjects as their thermal environment changes around them. This is new work that brings us significantly closer to the holy grail of being able to diagnose whether an indoor environment (actual or design-stage) will be perceived by its occupants as being pleasant or unpleasant. This far outperforms the conventional PMV/PPD approach to modelling human comfort inside buildings.
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