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Aerodynamic noise prediction for a wind turbine using numerical flow simulations and semi-empirical modelling approaches
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.ORCID iD: 0000-0002-3173-7502
Trinity College Dublin, Department of Mechanical and Manufacturing Engineering, Ireland.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.ORCID iD: 0000-0003-2294-9041
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design.ORCID iD: 0000-0003-0176-5358
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2016 (English)In: 22nd AIAA/CEAS Aeroacoustics Conference, 2016Conference paper (Other academic)
Place, publisher, year, edition, pages
2016.
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Fluid Mechanics and Acoustics
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URN: urn:nbn:se:kth:diva-185035DOI: 10.2514/6.2016-2846OAI: oai:DiVA.org:kth-185035DiVA: diva2:918057
Conference
22nd AIAA/CEAS Aeroacoustics Conference
Note

QC 20160613

Available from: 2016-04-08 Created: 2016-04-08 Last updated: 2016-08-22Bibliographically approved

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Rasam, AminKarl, BolinO'Reilly, Ciarán J.Efraimsson, Gunilla
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