Predikce tepelné pohody v nehomogenním prostředí pomocí vícesegmentových modelů.

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

abstract

en

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.

Pro správnou predikci tepelné pohody v nehomogenním prostředí je doporučeno použít vícesefmentové modely fyziologie kombinované s modelem tepelné pohody. V tomto článku autoři popisují propojení Tanabeho modelu fyziologie s modelem tepelné pohody dle Zhang; oba modely jsou navrženy pro stacionární i dynamické podmínky prostředí. Rozložení povrchových teplot pro jednotlivé části lidského těla a předpověď vnímaní tepelné pohody na jednotlivých částech je vyhodnocena jak výstup propojeného modelu, který je implementován v modelice za použití Dymoly a výsledky jsou porovnány se simulacemi v Theseu-FE, který používá Fialův model.

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.

Modelica, tepelná pohoda, Tanabeho model, Zhang model

Modelica, Thermal comfort, Tanabe model, Zhang model

23.08.2010