Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA

     

Predicting thermal comfort for diverse populations

Nathaniel Jones 1, Ingrid Chaires 1, Ian Mackenzie 2, Timothy Arioto 1, Alexej Goehring 1
1 Arup, United States of America
2 Arup, Canada


DOI: https://doi.org/10.26868/25222708.2021.30601
Abstract: Most thermoregulatory models used to understand human comfort are based on a standard human physiology — a 172 cm-tall man weighing 74.1 kg whose body composition is 15% fat. However, this body type is not representative of the world’s population, and variation in body build may significantly affect human perception of temperature. We use diverse, rapidly generatable body type models to predict the thermal sensation and comfort of populations. Our simulation method uses multi-nodal thermal models of the human body that can be adjusted parametrically to different body types. This gives us more flexibility than the single-node Predicted Percent Dissatisfied model, including the capacity to handle nonuniform and time-varying conditions. In our case study, analysis of the standard body type failed to detect discomfort in conditions where population analysis found 16% of tested individuals feeling uncomfortably warm and 31% of tested individuals feeling uncomfortably cold.
Keywords: thermal comfort, occupant satisfaction, diversity
Pages: 3593 - 3600
Paper:
bs2021_30601