Forecasting thermophysiological comfort of clothing ensembles designed for work in low temperatures

Abstract The study investigates the relationship between clothing insulation, metabolic rate, and exposure to low temperatures, with a focus on predicting thermophysiological comfort according to ISO 11079. Results from predicting thermophysiological comfort, including IREQ min , IREQ neutral , DLE min , and DLE neutral , are presented, indicating the thermophysiological comfort of a person wearing two ensembles of clothing designed for work in low temperatures. Predictive models are proposed as valuable tools for determining clothing needs in various conditions. Analysis of data reveals that both required clothing insulation and minimum required insulation increase with higher metabolic rates and lower temperatures. Linear relationships are identified between clothing insulation and metabolic rate, particularly at 5°C and -15°C. Understanding these relationships aids in selecting appropriate clothing to maintain thermal comfort and mitigate cold-related risks in occupational settings.