On Predicting the Phenomenon of Surface Flow Convergence in Wind Farms

dc.contributor.author Selvaraj, Suganthi
dc.contributor.author Sharma, Anupam
dc.contributor.department Department of Aerospace Engineering
dc.date 2018-02-19T01:46:09.000
dc.date.accessioned 2020-06-29T22:44:57Z
dc.date.available 2020-06-29T22:44:57Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2014
dc.date.embargo 2017-11-08
dc.date.issued 2014-01-01
dc.description.abstract <p>A systematic analysis of a single-rotor horizontal axis wind turbine aerodynamics is performed to obtain a realistic potential maximum efficiency. It is noted that by including the effects of swirl, viscosity and finite number of blades, the maximum aerodynamic efficiency of a HAWT is within a few percentage points of the efficiency of commercially-available turbines. The need for investigating windfarm (as a unit) aerodynamics is thus highlighted.</p> <p>An actuator disk model is developed and implemented in the OpenFOAM software suite. The model is validated against 1-D momentum theory, blade element momentum theory, as well as against experimental data. The validated actuator disk model is then used to investigate an interesting microscale meteorological phenomenon called “flow convergence” caused by an array of wind turbines. This phenomenon is believed to be caused by the drop of pressure in wind farms. Wind farm numerical simulations are conducted with various approximations to investigate and explain the flow convergence phenomenon.</p>
dc.description.comments <p>This proceeding is published as S. Selvaraj and A. Sharma, "On Predicting the Phenomenon of Surface Flow Convergence in Wind Farms," ASME Turbo Expo 2014: Turbine Technical Conference and Exposition, Volume 3B: Oil and Gas Applications; Organic Rankine Cycle Power Systems; Supercritical CO2 Power Cycles; Wind Energy, Düsseldorf, Germany, June 16–20, 2014. doi: <a href="http://dx.doi.org/10.1115/GT2014-25307" target="_blank">10.1115/GT2014-25307</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/aere_conf/30/
dc.identifier.articleid 1029
dc.identifier.contextkey 11015181
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath aere_conf/30
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1908
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/aere_conf/30/2014_Sharma_PredictingPhenomenon.pdf|||Fri Jan 14 23:27:35 UTC 2022
dc.source.uri 10.1115/GT2014-25307
dc.subject.disciplines Aerodynamics and Fluid Mechanics
dc.subject.disciplines Aerospace Engineering
dc.subject.disciplines Computational Engineering
dc.subject.keywords Flow (Dynamics)
dc.subject.keywords Wind farms
dc.title On Predicting the Phenomenon of Surface Flow Convergence in Wind Farms
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 9797e35d-08ee-41c7-8982-c83e6db2ed8e
relation.isOrgUnitOfPublication 047b23ca-7bd7-4194-b084-c4181d33d95d
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2014_Sharma_PredictingPhenomenon.pdf
Size:
1.57 MB
Format:
Adobe Portable Document Format
Description: