 Building Science at UC Berkeley: Research

Automotive Interface for the UC Berkeley
Multinode Model of Human Thermal Comfort
Charlie Huizenga, Research Specialist, CEDR
Edward Arens, Department of Architecture & Director, CEDR
Zhang Hui, Associate Specialist, CEDR
Tom Duan, Graduate Student Researcher
Sponsor: Delphi Harrison Thermal Systems
The Center for Environmental Design Research at UC Berkeley has developed a
multinode thermal comfort model that is capable of evaluating the impact of non-uniform
thermal conditions on the human body. The model is based Stolwijk's 25-node model of
thermoregulation (Stolwijk and Hardy, 1977), which set out the fundamental concepts,
algorithm, physical constants and physiological control subsystems for many contemporary
comfort models. The UC Berkeley model consists of 16 body segments, corresponding to
our segmented thermal manikin (head, chest, back, pelvis, two shoulders, two arms, two
hands, two thighs, two calves, and two feet), and five layers (clothing, skin, fat,
muscle, and core tissues).
The model is capable of analyzing complex thermal asymmetries, gradients and transients
and has been adapted for use in examining the impact of different thermal environments in
an automobile on the thermal comfort of the occupants. The model can calculate local
(segment) skin temperatures, equivalent homogenous temperatures, and heat flux as well as
whole body thermal sensation. Input to the model includes air temperature, surrounding
surface temperatures, humidity, and air velocity for each of the 16 body segments as well
as clothing and metabolic levels of the occupant.
The thermal environment experienced by an occupant in an automobile is often quite
complex. A significant component of this environment is the radiant temperature of
the surfaces surrounding the occupant. Technologies such as advanced glazing can lower the
solar load on a vehicle and reduce inside surface temperatures, providing improved thermal
comfort for the occupants. The impact of this technology on the comfort of the
occupant can be quite significant, and our model will allow these impacts to be
quantified.

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