Reynolds-number and surface-modeling sensitivities for experimental simulation of flow over complex topography

Download
  1. Get@NRC: Reynolds-number and surface-modeling sensitivities for experimental simulation of flow over complex topography (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1016/j.jweia.2012.03.016
AuthorSearch for: ; Search for:
TypeArticle
Proceedings titleJournal of Wind Engineering and Industrial Aerodynamics
Conference13th International Conference on Wind Engineering, July 10-15, 2011, Amsterdam, Netherlands
ISSN01676105
Volume104-106
IssueMay-July
Pages603613
SubjectComplex terrain; Wind farm; Atmospheric boundary layer; Wind profiles; Turbulence; Wind tunnel testing
AbstractThis paper documents the development of an experimental approach for determining the wind characteristics over complex topography. Using fast-response pressure probes, vertical wind profiles were measured over wind-tunnel models representing the complex topography of a wind farm currently under construction. A terraced-model approach was taken to simplify the manufacturing of the topographic models, providing the added benefit of enhanced surface roughness from the terraced steps. A preliminary study in a small wind tunnel identified restrictions on the Reynolds number and terrace step size that are required for attaining adequate high-Reynolds-number boundary-layer characteristics at a scale of 1:1500. Subsequent measurements over the entire wind-farm topography were compared to site measurements from meteorological masts, from which recommendations for improved experimental simulation techniques are identified.
Publication date
LanguageEnglish
AffiliationAerospace; National Research Council Canada
Peer reviewedYes
IdentifierS0167610512000736
NPARC number21268807
Export citationExport as RIS
Report a correctionReport a correction
Record identifier82d3d933-2d89-4c80-84f1-d7125dd8d0fd
Record created2013-11-13
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)