Semi-analytical approaches for the prediction of the noise produced by ducted wind turbines

Doctoral Thesis (2019)
Author(s)

Cansev Küçükosman (TU Delft - Wind Energy)

Contributor(s)

D. Casalino – Promotor (TU Delft - Wind Energy)

C. Schram – Copromotor (von Karman Institute for Fluid Dynamics)

Research Group
Wind Energy
Copyright
© 2019 Y.C. Küçükosman
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 Y.C. Küçükosman
Research Group
Wind Energy
ISBN (print)
978-94-028-1421-7
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The integration of wind turbines into urban environments is a challenging task due to the reduced wind speed and high turbulence levels caused by the surface resistance, as well as limited spacing. If a specific building arrangement is explored, an improve ment in wind speed can be obtained. This would be especially beneficial for tall build ings where a wind turbine can be placed on the roof, side, or through a duct. However, the main problem associated with the integration of wind turbines is the acoustic an noyance. Therefore, the focus of this thesis is twofold. First, a robust, accurate, and low computational cost numerical methodology is proposed to predict the trailing edge noise for a ducted wind turbine. Second, a measurement device is developed to acquire noise emitted by a rotating machine where the duct surface cannot be altered. An inves tigation of the incoming flow on the noise emitted by a building-integrated wind turbine is conducted by different aerodynamic roughness lengths…

Files

Yakut_Cansev_KUCUKOSMAN.pdf
(pdf | 8.76 Mb)
License info not available