Paper Conference

Proceedings of eSim 2020: 11th Conference of IBPSA-Canada


Extending the Fanger PMV model to include the effect of non-thermal conditions on thermal comfort

Sarah Crosby, Adam Rysanek
University of British Columbia, Canada

Abstract: This paper presents an update to a recent work that examined the correlations between non-thermal indoor environmental conditions such as indoor air quality and noise levels, on perceived thermal comfort of occupants in open-plan offices. The prior work made use of the COPE dataset, a field study of about 800 offices conducted by the National Research Council of Canada in the early 2000s. A novel Bayesian inference methodology was developed in order to isolate meaningful correlations between perceived thermal comfort and non-thermal metrics. It has been found that there exist statically significant correlations between some non-thermal ‘wellbeing type’ metrics of IEQ and thermal comfort, as perceived by occupants in open-plan offices. The most significant finding is that a modest increase in measured indoor CO2 concen- trations, from 500 ppm to 900 ppm, is found to be correlated with a decrease in perceived ther- mal satisfaction by 30%. This paper provides an update to that work based on a further field study of 150 offices carried out at the University of British Columbia campus across 2019/2020. It culminates in a proposed extension to the Fanger PMV thermal comfort model to include the effects of meaningful non-thermal indoor conditions when predicting thermal satisfaction and dissatisfaction.