This paper focuses on the effect of selected system parametric uncertainties on two possible thermal comfort predictors, average skin temperature and total body heat storage. The effect of the system parameters is quantified using a sensitivity analysis approach involving the equations of the “41-node” human thermal model. The quantification allows the parameters to be ranked based on their effect on the two thermal comfort predictors. A simulation-based sensitivity analysis is also performed to confirm the findings. This study represents one step in the direction of understanding the difficult issue of accuracy in human thermal models.

Units: SI