Segmental human thermoregulation models are increasingly being used to predict thermal comfort in vehicle passenger compartments. These computational models simulate the process by which the human body maintains a nearly constant core temperature. The primary output of thermoregulation models is the predicted time history of the body's core and skin temperature, which is subsequently used as input to a model that predicts corresponding thermal sensation and comfort perceptions. The advantage of this method of predicting thermal comfort is its applicability to non-uniform and transient environments, such as the passenger compartment of an automobile. In this paper we assess the importance of modelling individual physiological differences when predicting thermal comfort using a segmental thermal model.
Assessment of Modeling Individual Physiological Differences when Predicting Thermal Comfort
2012
6 Seiten
Aufsatz (Konferenz)
Englisch
Assessment of Modeling Individual Physiological Differences when Predicting Thermal Comfort
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