Prof.(FH) Dipl.-Ing. (FH) Dr.
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Now showing 1 - 10 of 48
- PublicationA New Algebraic Reynolds Stress Turbulence Model for Prediction of Wall-Affected Three Dimensional Room Airflows(E. Weber, 2008)In the past various experimental investigations about room airflows were published. But most investiagtions are limited regarding measurements positions (restricted gflow patttern) and the availability of turbulent quantities (Reynolds-Stresses, entrainment, macroscopic instabilities etc.) based on the avaiable experimental data a targeted improvement of turbulence models is difficult. Therefore a complex three dimensional room airflow situation was investigatedwith three-dimensional Particle Image Velocmetry. Detailed informatiom of the floww, the Reynolds-stress distribution and the entertainment are presented. Based on the experimental results the behaviour of RANS-based turbulence models in predicting roomairflow is discussed. In this context, it is shown that intensive anisotropic Reynolds stresses near the wall arise and influences the airflow pattern. For this reason a new algebraic Reynolds stress turbulence model - which can in princible reproduce the turbulence anisotropic behaviour- is proposed. Compared with the linear eddy viscoity turbulence models the new nonlinear model agrees clearly better with the presented experimental findings.
- PublicationIntegrated Hydrogen Energy Systems(Holzhausen, 2022)
; 21 26
- PublicationNumerical simulation of airflow around buildings(Leykam, 2015-11-26)
; ; ;Dragosits, T. 226 156
- PublicationComputation of the temperature distribution in biomass boilers with reciprocating grate furnaces(2015-12)
; ; ;Nöhrer, Dietmar ;Inthavong, Kiao ;Tu, Jiyuan 148
- PublicationImproving predictions of heat transfer in indoor environments with eddy viscosity turbulence models(Springer, 2016)
; ;Tao, Yao ;Inthavong, KiaoHeat transfer modelling in indoor environments requires an accurate prediction of the convective heat transfer phenomenon. Because of the lower computational cost and numerical stability, eddy viscosity turbulence models are often used. These models allow modification to turbulent Prandtl number, and near wall correction which influences stagnation points, entrainment, and velocity and time scales. A modified v 2–f model was made to correct the entrainment behaviour in the near wall and at the stagnation point. This new model was evaluated on six cases involving free and forced convection and room airflow scenarios and compared with the standard k–ε, and k–ω–SST models. The results showed that the modification to the v 2–f model provided better predictions of the buoyant heat transfer flows while the standard k–ε failed to reproduce and underestimate the convective heat transfer. The k–ω–SST model was able to predict the flow field well only for a 2D square cavity room, and 3D partitioned room case, while it was poor for the other four cases. 156Scopus© Citations 2
- PublicationDEMANDS ON TURBULENCE MODELLING FOR VENTILATED ROOM AIRFLOWS(CSIRO, 2009)
; ;Sanz, Wolfgang 124
- PublicationDigital Twin with Multi-Input and Multi-Output optimisation for Air-Conditioning Systems(Leykam, 2020-11-26)
; ; ;Türk, R. 100 173