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Abstract
The present work aims at the characterization of aerodynamic noise from wind
turbines. There is a consensus among scientists that the dominant aerodynamic
noise mechanism is turbulent boundary trailing edge noise. In almost all operational
conditions the boundary layer flow over the wind turbine blades makes a
transition from laminar to turbulent. In the turbulent boundary layer eddies are
created which are a potential noise sources. They are ineffective as noise source
on the airfoil surface or in free flow, but when convecting past the trailing edge
of the airfoil their efficiency is much increased and audible sound is radiated.
We performed measurements of the boundary layer velocity fluctuations and the
fluctuating surface pressure field in two different wind tunnels and on three different
airfoils. The first wind tunnel is the one of LM Wind Power A/S following
the classic concept for aerodynamic wind tunnels with a hard wall test section.
Acoustic far field sound measurements are not possible in this tunnel due to
the high background noise. The second wind tunnel is owned by Virginia Tech
University. The test section has Kevlar walls which are acoustically transparent
and it is surrounded by an anechoic chamber. In this experiment the far field
sound was measured with a microphone array placed in the anechoic chamber.
The measurements were compared to predictions with an analytical model for
trailing edge noise. The analytical model is divided into two steps. First the
fluctuating velocity field is related to the fluctuating surface pressure field, then
the far field trailing edge noise is related to the surface pressure field close to the
trailing edge of the airfoil. The data base of measurements was used to evaluate
the different parts of the original analytical trailing edge noise model and to
improve it, because the predictions gave in general too low far field noise levels.
Our main finding is that the acoustic formulations to relate the fluctuating surface
pressure field close to the trailing edge of airfoil to the radiated far field
sound give excellent results when compared to far field sound measurements
with a microphone array and measured surface pressure statistics as input up
to a frequency of about 2000-3000Hz. The fluctuating surface pressure field
can be measured in a wind tunnel with high background noise due to the high
level of the fluctuating surface pressure field. Hence, trailing edge noise can be
evaluated by means of measured surface pressure field, even in cases where a
direct measurement of trailing edge noise is not possible. This opens up great
new vistas, i.e. by testing new airfoils in a standard industrial wind tunnel or
by testing new wind turbine rotors in the field.
The main difficulty for trailing edge noise modeling is to predict the fluctuating
surface pressure field correctly and one uncertainty of the original model was the
assumption of isotropic turbulence. This was investigated in the present work
and a new model to relate the boundary layer velocity field to the surface pressure
field accounting for an anisotropic turbulence spectrum was proposed. The
results were very similar compared to the original model and underestimated
the measured one point surface pressure spectrum, even though the prediction
of the one point velocity spectra was improved.
turbines. There is a consensus among scientists that the dominant aerodynamic
noise mechanism is turbulent boundary trailing edge noise. In almost all operational
conditions the boundary layer flow over the wind turbine blades makes a
transition from laminar to turbulent. In the turbulent boundary layer eddies are
created which are a potential noise sources. They are ineffective as noise source
on the airfoil surface or in free flow, but when convecting past the trailing edge
of the airfoil their efficiency is much increased and audible sound is radiated.
We performed measurements of the boundary layer velocity fluctuations and the
fluctuating surface pressure field in two different wind tunnels and on three different
airfoils. The first wind tunnel is the one of LM Wind Power A/S following
the classic concept for aerodynamic wind tunnels with a hard wall test section.
Acoustic far field sound measurements are not possible in this tunnel due to
the high background noise. The second wind tunnel is owned by Virginia Tech
University. The test section has Kevlar walls which are acoustically transparent
and it is surrounded by an anechoic chamber. In this experiment the far field
sound was measured with a microphone array placed in the anechoic chamber.
The measurements were compared to predictions with an analytical model for
trailing edge noise. The analytical model is divided into two steps. First the
fluctuating velocity field is related to the fluctuating surface pressure field, then
the far field trailing edge noise is related to the surface pressure field close to the
trailing edge of the airfoil. The data base of measurements was used to evaluate
the different parts of the original analytical trailing edge noise model and to
improve it, because the predictions gave in general too low far field noise levels.
Our main finding is that the acoustic formulations to relate the fluctuating surface
pressure field close to the trailing edge of airfoil to the radiated far field
sound give excellent results when compared to far field sound measurements
with a microphone array and measured surface pressure statistics as input up
to a frequency of about 2000-3000Hz. The fluctuating surface pressure field
can be measured in a wind tunnel with high background noise due to the high
level of the fluctuating surface pressure field. Hence, trailing edge noise can be
evaluated by means of measured surface pressure field, even in cases where a
direct measurement of trailing edge noise is not possible. This opens up great
new vistas, i.e. by testing new airfoils in a standard industrial wind tunnel or
by testing new wind turbine rotors in the field.
The main difficulty for trailing edge noise modeling is to predict the fluctuating
surface pressure field correctly and one uncertainty of the original model was the
assumption of isotropic turbulence. This was investigated in the present work
and a new model to relate the boundary layer velocity field to the surface pressure
field accounting for an anisotropic turbulence spectrum was proposed. The
results were very similar compared to the original model and underestimated
the measured one point surface pressure spectrum, even though the prediction
of the one point velocity spectra was improved.
Original language | English |
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Publisher | DTU Wind Energy |
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Number of pages | 194 |
Publication status | Published - Nov 2011 |
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Dive into the research topics of 'Experimental characterization of airfoil boundary layers for improvement of aeroacoustic and aerodynamic modeling'. Together they form a unique fingerprint.Projects
- 1 Finished
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Experimental characterization of airfoil boundary layers for improvement of aeroacoustic and aerodynamic modelling
Fischer, A. (PhD Student), Madsen, H. A. (Main Supervisor), Bertagnolio, F. (Supervisor), Shen, W. Z. (Supervisor), Sørensen, J. N. (Examiner), Keith, G. (Examiner) & Roger, M. (Examiner)
01/10/2008 → 22/02/2012
Project: PhD