Modellierung des thermischen Komforts in Kabineninnenräumen

  • Modeling of thermal comfort in cabin environments

Rewitz, Kai; Müller, Dirk (Thesis advisor); Wagner, Andreas (Thesis advisor)

1. Auflage. - Aachen : E.ON Energy Research Center, RWTH Aachen University (2021)
Book, Dissertation / PhD Thesis

In: E.ON Energy Research Center : EBC, Energy efficient buildings and indoor climate 86
Page(s)/Article-Nr.: 1 Online-Ressource : Illustrationen, Diagramme

Dissertation, RWTH Aachen University, 2020


Thermophysiological comfort models allow the prediction of subjective thermal sensation for transient and inhomogeneous boundary conditions for a defined validation range. Furthermore, scaling approaches exist for these models to reflect differences in physiology. However, their validation ranges are relatively limited due to the low availability of high quality experimental metrics. The aim of the present work is to provide a high-resolution and well documented dataset to develop and empirically validate scalable modeling approaches. For this purpose, five subject test series with a total of 266 persons in the climate test bench "Aachen Comfort Cube" (ACCu) of the RWTH Aachen are carried out. The experiments analyze interindividual differences with regard to the physiological parameters of gender, age and BMI. For this purpose, the body core temperature and the skin temperatures at up to 25 local measuring points are recorded and related to local and global subjective assessments of thermal sensation and thermal comfort. The results show statistically significant differences in skin temperatures for the examined comparative characteristics gender, age and BMI. For the comparative characteristic BMI, for example for moderately cool ambient conditions for the subgroup with a high BMI, skin temperatures of the hands and feet are up to 2 K higher, which means a shift of the heat emission to these body parts. This observation can possibly be attributed to the increased body fat percentage and the associated lower thermal conductivity of the tissue layers of the body parts near to the body center. In addition, in some cases, in particular in slightly warm ambient conditions, there are differences opposite the physiological reactions for the local subjective thermal evaluations. These findings indicate the need for separate scaling of the physiological and psychological sub-models. The results for the whole group of the subject tests are used to calibrate the 33-node comfort model (NOODEL). Due to the modular design of the physiological and psychological model, the calibration process is independent of each other. In addition, both partial models will be extended to include the parameters of gender, age, height and body weight respectively BMI. In addition, a CFD model of the ACCu is developed and empirically validated based on measurement data from several test series with thermal manikins. The CFD model enables the integration of the modified NOODEL as a "functional mock-up" (FMU) via a "functional mock-up interface" (FMI). Overall, it provides a simple and flexible way to apply the model to other environments.


  • E.ON Energy Research Center [080052]
  • Chair of Energy Efficient Buildings and Indoor Climate [419510]