Abstract
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.
F2012-E03-053
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© 2013 Springer-Verlag Berlin Heidelberg
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Allen, C., Mark, H. (2013). Assessment of Modeling Individual Physiological Differences when Predicting Thermal Comfort. In: Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33835-9_37
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DOI: https://doi.org/10.1007/978-3-642-33835-9_37
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Online ISBN: 978-3-642-33835-9
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