Computational Fluid Dynamics model of stratified atmospheric boundary-layer flow

Research output: Contribution to journalJournal articleResearchpeer-review

1 Downloads (Pure)

Abstract

For wind resource assessment, the wind industry is increasingly relying on computational fluid dynamics models of the neutrally stratified surface-layer. So far, physical processes that are important to the whole atmospheric boundary-layer, such as the Coriolis effect, buoyancy forces and heat transport, are mostly ignored. In order to decrease the uncertainty of wind resource assessment, the present work focuses on atmospheric flows that include stability and Coriolis effects. The influence of these effects on the whole atmospheric boundary-layer are examined using a Reynolds-averaged Navier–Stokes k- ε model. To validate the model implementations, results are compared against measurements from several large-scale field campaigns, wind tunnel experiments, and previous simulations and are shown to significantly improve the predictions. Copyright © 2013 John Wiley & Sons, Ltd.
Original languageEnglish
JournalWind Energy
Volume18
Issue number1
Pages (from-to)75-89
ISSN1095-4244
DOIs
Publication statusPublished - 2015

Bibliographical note

This work has been carried out within the WAUDIT project (Grant no. 238576). This Initial Training Network is a Marie Curie action, funded under the Seventh Framework Program (FP7) of the European Commission. Computations were made possible by the use of the PC-cluster Gorm provided by DCSC and the DTU central computing facility. We would also like to thank the Danish energy agency (EFP07-Metoder til kortlægning af vindforhold i komplekst terræn (ENS-33033-0062)), the Center for Computational Wind Turbine Aerodynamics and Atmospheric Turbulence (under the Danish Council for Strategic Research, Grant no. 09-067216).

Keywords

  • Atmospheric boundary-layer
  • k -ε turbulence model
  • Coriolis effect
  • Atmospheric stability
  • CFD
  • RANS

Fingerprint

Dive into the research topics of 'Computational Fluid Dynamics model of stratified atmospheric boundary-layer flow'. Together they form a unique fingerprint.

Cite this