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dc.contributor.authorZilstra, Alison
dc.contributor.authorJohnson, David A.
dc.date.accessioned2022-02-03 17:54:59 (GMT)
dc.date.available2022-02-03 17:54:59 (GMT)
dc.date.issued2019-05-18
dc.identifier.urihttps://doi.org/10.2514/6.2019-2537
dc.identifier.urihttp://hdl.handle.net/10012/18042
dc.description.abstractThe aeroacoustic noise generated by wind turbines poses issues with the implementation of this renewable energy technology. The use of a fully analytical model for predicting airfoil noise could serve as a crucial tool in the design phase of new turbines or noise reduction technologies. This work uses a combination of Large Eddy Simulation (LES) and the Ffowcs-Williams and Hawkings (FW-H) acoustic model to predict the noise generated by a 2D segment of the SD 7037(c) airfoil. The simulations are performed at a static angle of attack (AOA) and at a Reynolds number typical for small scale wind turbines of Re = 4.3×10⁴. The flow and acoustic results are validated against experimental results conducted by the Wind Energy Group at the University of Waterloo. This model was able to accurately predict the flow field and acoustic results for the 0° AOA, and determined the source of the 4.1 kHz tone to be 2D vortex shedding from the trailing edge (TE) and the 3.4 kHz tone to come from the transition from 2D to 3D boundary layer behaviour. The 1° AOA simulation, while able to simulate the flow and broadband acoustic spectra, requires further investigation to simulate the complex boundary layer transition behaviours required to predict the 3.4 kHz tone. Overall, this method proved to be an effective predictive tool for airfoil self-noise at static AOAs.en
dc.description.sponsorshipNatural Science and Engineering Research Council || Ontario Graduate Scholarship Program || TD Bank Graduate Scholarship in the Environment.en
dc.language.isoenen
dc.publisherAmerican Institute of Aeronautics and Astronautics, Inc.en
dc.relation.ispartofseries25th AIAA/CEAS Aeroacoustics Conference;AIAA 2019-2537
dc.subjectcomputational fluid dynamicsen
dc.subjectcomputational aeroacousticsen
dc.subjectlow Reynolds numberen
dc.subjectsmall wind turbineen
dc.subjectairfoil self-noiseen
dc.titleLES and FW-H Prediction of Aeroacoustic Noise for a SD 7037 Airfoil for Wind Turbine Applicationsen
dc.typeConference Paperen
dcterms.bibliographicCitationAlison Zilstra and David Johnson. "LES and FW-H Prediction of Aeroacoustic Noise for a SD 7037 Airfoil for Wind Turbine Applications," AIAA 2019-2537. 25th AIAA/CEAS Aeroacoustics Conference. May 2019.en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelGraduateen


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