Publication detail

MULTI-SEGMENT MODEL FOR PREDICTION OF HUMAN PHYSIOLOGY RESPONSES AND THERMAL COMFORT IN NON-HOMOGENOUS ENVIRONMENTS

POKORNÝ, J. FIŠER, J. JÍCHA, M.

Original Title

MULTI-SEGMENT MODEL FOR PREDICTION OF HUMAN PHYSIOLOGY RESPONSES AND THERMAL COMFORT IN NON-HOMOGENOUS ENVIRONMENTS

English Title

MULTI-SEGMENT MODEL FOR PREDICTION OF HUMAN PHYSIOLOGY RESPONSES AND THERMAL COMFORT IN NON-HOMOGENOUS ENVIRONMENTS

Type

abstract

Language

en

Original Abstract

For the correct prediction of thermal comfort in non-homogenous environments is recommended to use a multi-segment physiological model in combination with a thermal comfort model. In the paper, the authors refer to coupling of modified 65MN Tanabe model and thermal comfort model by Zhang. Both models are designed for non-homogenous environments and for transient changes of boundary conditions. The coupled model predicts human physiology responses, distribution of surface temperatures and thermal comfort. It is implemented in the Modelica language by using the Dymola as development tool. The model was tested for homogenous environments before and this paper presents testing of the model for non-homogenous environments. The coupled model results were compared with simulations carried out in Theseus-FE that uses the Fiala model as a virtual thermal manikin. The coupled model is suitable for automobile applications, e.g. design process of passenger compartment and air-conditioning system.

English abstract

For the correct prediction of thermal comfort in non-homogenous environments is recommended to use a multi-segment physiological model in combination with a thermal comfort model. In the paper, the authors refer to coupling of modified 65MN Tanabe model and thermal comfort model by Zhang. Both models are designed for non-homogenous environments and for transient changes of boundary conditions. The coupled model predicts human physiology responses, distribution of surface temperatures and thermal comfort. It is implemented in the Modelica language by using the Dymola as development tool. The model was tested for homogenous environments before and this paper presents testing of the model for non-homogenous environments. The coupled model results were compared with simulations carried out in Theseus-FE that uses the Fiala model as a virtual thermal manikin. The coupled model is suitable for automobile applications, e.g. design process of passenger compartment and air-conditioning system.

Keywords

Thermal comfort prediction, Theseus-FE

Released

10.07.2011

Publisher

National and Kapodestrian University of Athens

Location

Athens

Pages from

106

Pages to

106

Pages count

1

BibTex


@misc{BUT72632,
  author="Jan {Pokorný} and Jan {Fišer} and Miroslav {Jícha}",
  title="MULTI-SEGMENT MODEL FOR PREDICTION OF HUMAN PHYSIOLOGY RESPONSES AND THERMAL COMFORT IN NON-HOMOGENOUS ENVIRONMENTS",
  annote="For the correct prediction of thermal comfort in non-homogenous 
environments is recommended to use a multi-segment physiological 
model in combination with a thermal comfort model. In the paper, the 
authors refer to coupling of modified 65MN Tanabe model and thermal 
comfort model by Zhang. Both models are designed for non-homogenous 
environments and for transient changes of boundary conditions. The 
coupled model predicts human physiology responses, distribution of 
surface temperatures and thermal comfort. It is implemented in the 
Modelica language by using the Dymola as development tool. The model 
was tested for homogenous environments before and this paper presents 
testing of the model for non-homogenous environments. The coupled 
model results were compared with simulations carried out in Theseus-FE 
that uses the Fiala model as a virtual thermal manikin. The coupled model 
is suitable for automobile applications, e.g. design process of passenger 
compartment and air-conditioning system.",
  address="National and Kapodestrian University of Athens",
  chapter="72632",
  institution="National and Kapodestrian University of Athens",
  year="2011",
  month="july",
  pages="106--106",
  publisher="National and Kapodestrian University of Athens",
  type="abstract"
}