Publication detail

Prediction of thermal comfort in non-homogenous environment by means of multi-segmented models.

POKORNÝ, J. FIŠER, J. JÍCHA, M.

Original Title

Prediction of thermal comfort in non-homogenous environment by means of multi-segmented models.

English Title

Prediction of thermal comfort in non-homogenous environment by means of multi-segmented models.

Type

abstract

Language

en

Original Abstract

For the correct prediction of thermal comfort in non-homogenous environment is recommended to use a multi-segmented physiological model in combination with a thermal comfort model. In the paper, the authors refer to a coupling of the physiological model by Tanabe with the thermal comfort model by Zhang; both models are designed for steady-state and dynamic environmental conditions. A distribution of surface temperatures for individual parts of a human body and a prediction of thermal comfort for these individual parts is obtained, as result of coupled model. This coupled model is implemented in the Modelica language using the Dymola as an interpreter and its results are compared with simulations carried out in Theseus FE that uses the Fiala model as a virtual thermal manikin.

English abstract

For the correct prediction of thermal comfort in non-homogenous environment is recommended to use a multi-segmented physiological model in combination with a thermal comfort model. In the paper, the authors refer to a coupling of the physiological model by Tanabe with the thermal comfort model by Zhang; both models are designed for steady-state and dynamic environmental conditions. A distribution of surface temperatures for individual parts of a human body and a prediction of thermal comfort for these individual parts is obtained, as result of coupled model. This coupled model is implemented in the Modelica language using the Dymola as an interpreter and its results are compared with simulations carried out in Theseus FE that uses the Fiala model as a virtual thermal manikin.

Keywords

Modelica, Thermal comfort, Tanabe model, Zhang model

Released

23.08.2010

BibTex


@misc{BUT61026,
  author="Jan {Pokorný} and Jan {Fišer} and Miroslav {Jícha}",
  title="Prediction of thermal comfort in non-homogenous environment by means of multi-segmented models.",
  annote="For the correct prediction of thermal comfort in non-homogenous environment is recommended to use a multi-segmented physiological model in combination with a thermal comfort model. In the paper, the authors refer to a coupling of the physiological model by Tanabe with the thermal comfort model by Zhang; both models are designed for steady-state and dynamic environmental conditions. A distribution of surface temperatures for individual parts of a human body and a prediction of thermal comfort for these individual parts is obtained, as result of coupled model. This coupled model is implemented in the Modelica language using the Dymola as an interpreter and its results are compared with simulations carried out in Theseus FE that uses the Fiala model as a virtual thermal manikin.",
  chapter="61026",
  year="2010",
  month="august",
  type="abstract"
}