[Zurück]

R. Cetin, A. Mahdavi:
"An inquiry into the reliability of urban-revel CFD-based air flow field analysis";
Vortrag: Proceedings of the CESBP Central European Symposium on Building Physics AND BauSIM 2016, Dresden, Germany; 14.09.2016 - 16.09.2016; in: "Proceedings of BauSim 2016", J. Grunewald et al. (Hrg.); Technische Universität Dresden / Scientific Committee of the CESBP // Fraunhofer IRB Verlag, (2016), 978‐3‐8167‐9798‐2; S. 613 - 620.

[no german version available] Computational fluid dynamics (CFD) tools are widely
used to address, among other things, large-scale urban
climatic questions. CFD applications have the
potential to provide whole-flow-field data, a detailed
representation of the micro-climatic conditions within
a complex urban geometry. However, the reliability of
the predictions depends on wide range of variables and
input assumptions.
In the present study, we explore the predictive
performance of a CFD tool with a statistical approach
by comparing numerous site measurements and
respective simulation results. This is followed by a
parametric study that analyses the influence of a
number of factors such as assumptions pertaining to
geometry and surface properties, boundary conditions,
and selection of the reference weather station.

Computational fluid dynamics (CFD) tools are widely
used to address, among other things, large-scale urban
climatic questions. CFD applications have the
potential to provide whole-flow-field data, a detailed
representation of the micro-climatic conditions within
a complex urban geometry. However, the reliability of
the predictions depends on wide range of variables and
input assumptions.
In the present study, we explore the predictive
performance of a CFD tool with a statistical approach
by comparing numerous site measurements and
respective simulation results. This is followed by a
parametric study that analyses the influence of a
number of factors such as assumptions pertaining to
geometry and surface properties, boundary conditions,
and selection of the reference weather station.