Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Some noise predictions for small wind turbines
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
Show others and affiliations
2016 (English)In: Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics, KU Leuven, Departement Werktuigkunde , 2016, p. 4019-4032Conference paper (Refereed)
Abstract [en]

In the FP7 SWIP project three small wind turbine designs have been considered. These include two Horizontal Axis machine with a rated power of 4 and 20 kW and a 2 kW Vertical axis configuration. These will be mounted at three pilot sites with supporting atmospheric modelling and measurements. This paper presents broadband aeroacoustic noise predictions. The prediction methods compare semi empirical predictions more usually used for large turbine applications) supported where appropriate by CFD flow calculations. In order to pursue mitigation measures for these scales of machines, the noise is analysed on a component basis and considered from the viewpoints of self noise and inflow noise. The vertical axis machine is shown to dominated by boundary layer noise whereas the horizontal axis machines are more susceptible to inflow noise. In this the modelling of the inflow turbulence spectrum is seen to be critical.

Place, publisher, year, edition, pages
KU Leuven, Departement Werktuigkunde , 2016. p. 4019-4032
Keywords [en]
Acoustic noise measurement, Boundary layers, Computational fluid dynamics, Forecasting, Structural dynamics, Turbulence, Wind turbines, Aeroacoustic noise, Atmospheric modelling, Boundary-layer noise, Mitigation measures, Prediction methods, Small wind turbine, Small wind turbine designs, Turbine applications, Aeroacoustics
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-216844ISI: 000392486307041Scopus ID: 2-s2.0-85018169300ISBN: 9789073802940 OAI: oai:DiVA.org:kth-216844DiVA, id: diva2:1161200
Conference
27th International Conference on Noise and Vibration Engineering, ISMA 2016 and International Conference on Uncertainty in Structural Dynamics, USD2016, 19 September 2016 through 21 September 2016
Note

Conference code: 127077; Export Date: 24 October 2017; Conference Paper. QC 20171129

Available from: 2017-11-29 Created: 2017-11-29 Last updated: 2017-11-29Bibliographically approved

Open Access in DiVA

No full text in DiVA

Scopus

Search in DiVA

By author/editor
Rasam, A.
By organisation
Aeronautical and Vehicle Engineering
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 12 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf