Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA


A novel multi-domain model for thermal comfort which includes building indoor CO2 concentrations

Sarah Crosby 1, Adam Rysanek 2
1 Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada
2 School of Architecture and Landscape Architecture, University of British Columbia, Vancouver, Canada

Abstract: In a prior work, we applied Bayesian logistic regression to investigate possible quantifiable correlations between occupant’s perceived thermal comfort, thermal indoor conditions, and non-thermal metrics of indoor environmental quality (IEQ). This study updates the findings of the prior work by adding IEQ data collected from a recent field study carried out at the University of British Columbia. Bayesian logistic regression of the expanded dataset reinforces observations made in our first paper that thermal comfort is correlated to measured values of indoor CO2 concentrations. Cross-validation and posterior checks revealed that it is possible to increase the prediction accuracy of thermal satisfaction in open-plan offices by including measurements of CO2 concentration. This paper formulates a new predictive model of thermal comfort which can be used by building modellers to predict thermal comfort in office settings based on thermal conditions and ventilation rates.
Keywords: Thermal Comfort, Indoor Environmental Quality, Bayesian Inference, Open-plan offices, Occupant well-being
Pages: 2687 - 2694