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Analyses of the mechanisms of amplitude modulation of aero-acoustic wind turbine sound

Andreas Fischer

Helge Aagaard Madsen

Knud Abildgaard Kragh

Franck Bertagnolio

DTU Wind Energy

Technical University of Denmark

P.O. 49, DK-4000 Roskilde, Denmark

asfi@dtu.dk

DTU Wind Energy, Technical University of Denmark

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(Normal) Amplitude Modulation (NAM) of Wind Turbine Noise [1]

• swishing sound radiated when the blade moves downwards

• Peak to trough level a few dB

• Normally only perceived close to the wind turbine (1-2D)

• Can be explained by the directivity of trailing edge noise

EWEA Conference 2014, Barcelona, Spain 2 7 July 2014

[2]

Directivity of noise emitted from an airfoil with finite chord length [3]

kc=10 kc=50

DTU Wind Energy, Technical University of Denmark

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(Other) Amplitude Modulation (OAM) of Wind Turbine Noise [1]

• Described as thumping sound

• More low frequency content and higher peak to trough level than normal AM

• Perceived at larger distance from the wind turbine

• Perceive at up and downwind locations

• Transient stall as a possible explanation

EWEA Conference 2014, Barcelona, Spain 3 7 July 2014

Directivity of noise emitted from an airfoil with finite chord length [3]

[2] kc=1 kc=5

DTU Wind Energy, Technical University of Denmark

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Objectives

• Investigate the source of trailing edge noise and stall noise (surface pressure field) on a full scale wind turbine rotor

• Relate surface pressure field to emitted far field sound

• Identify wind conditions which can lead to OAM

• Outline control strategies to alleviate OAM

EWEA Conference 2014, Barcelona, Spain 4 7 July 2014

DTU Wind Energy, Technical University of Denmark

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Outline

• Experimental noise source characterisation on a full scale rotor

(DAN-AERO MW project)

• Relation between noise source and emitted far field sound

(measurement in Virginia Tech Wind Tunnel)

• Critical atmospheric conditions to cause (Other)AM

(DAN-AERO MW project)

• Control strategies to alleviate (Other)AM

• Conclusions

EWEA Conference 2014, Barcelona, Spain 5 7 July 2014

DTU Wind Energy, Technical University of Denmark

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Outline

• Experimental noise source characterisation on a full scale rotor

(DAN-AERO MW project)

• Relation between noise source and emitted far field sound

(measurement in Virginia Tech Wind Tunnel)

• Critical atmospheric conditions to cause (Other)AM

(DAN-AERO MW project)

• Control strategies to alleviate (Other)AM

• Conclusions

EWEA Conference 2014, Barcelona, Spain 6 7 July 2014

DTU Wind Energy, Technical University of Denmark

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NEG-Micon NM80 Wind turbine with inflow sensors DANAERO MW project [4], Vestas, Siemens, LM Wind Power, DONG Energy, DTU, 2007-2010

EWEA Conference 2014, Barcelona, Spain 7 7 July 2014

Four 5 hole pitot tubes installed on a NM80 turbine

• Pressure tabs at r=13m, 19m, 30m and 37m

• Pitot tubes at r= 14.5m, 20.3m, 31m and 36m

• 60 Microphones at r=37m for high frequency surface pressure measurements

DTU Wind Energy, Technical University of Denmark

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Campaign measurements from June to September 2009 – DANAERO MW project

EWEA Conference 2014, Barcelona, Spain 8 7 July 2014

Microphone holes

Pressure holes

DTU Wind Energy, Technical University of Denmark

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NEG-Micon NM80 Wind Turbine (DANAERO MW project)

EWEA Conference 2014, Barcelona, Spain 9 7 July 2014

• Technical Data:

–Rated power 2.3MW

–Hub height 57m

–Rotor diameter 80m

–LM38.8 blades

• Unusual operational conditions:

–Constant rotational speed (16.23rpm = 1.7rad/s)

–Pitch -4.5°(towards higher AoAs, forced to stall)

–High wind speed (above 12m/s at hub)

–Yaw +/-10°

DTU Wind Energy, Technical University of Denmark

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Wind velocity profile measured at the met mast on Sept. 1, 2009 (10min average)

EWEA Conference 2014, Barcelona, Spain 10 7 July 2014

6 7 8 9 10 11 12 1310

20

30

40

50

60

70

80

90

100

110

altitude [

m]

velocity [m/s]

met mast mean wind speed

cup

sonic

HAWC2 pl

7 8 9 10 11 12 13 14 1510

20

30

40

50

60

70

80

90

100

110

altitude [

m]

velocity [m/s]

met mast mean wind speed

cup

sonic

HAWC2 pl

10:00 11:40

Shear exponent 0.3 Shear exponent 0.3

DTU Wind Energy, Technical University of Denmark

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Wind velocity profile measured at the met mast on Sept. 1, 2009 (10min average)

EWEA Conference 2014, Barcelona, Spain 11 7 July 2014

6 7 8 9 10 11 12 1310

20

30

40

50

60

70

80

90

100

110

altitude [

m]

velocity [m/s]

met mast mean wind speed

cup

sonic

HAWC2 pl

7 8 9 10 11 12 13 14 1510

20

30

40

50

60

70

80

90

100

110

altitude [

m]

velocity [m/s]

met mast mean wind speed

cup

sonic

HAWC2 pl

10:00 11:40

Shear exponent 0.3 Shear exponent 0.3

DTU Wind Energy, Technical University of Denmark

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Surface pressure level on suction side at x/c=0.84, Sept. 1, 2009 (evaluated every 0.5sec)

EWEA Conference 2014, Barcelona, Spain 12 7 July 2014

10:05 11:48

time t [s]

cente

r fr

equency f

c [

Hz]

Surface Pressure Level [dB1/12

]

0 1 2 3 4 5 6 7 8 9 10

200

400

600

800

1000

0 1 2 3 4 5 6 7 8 9 106

7

8

9

10

11

12

time t [s]

angle

of

att

ack

[deg]

102

104

106

108

110

112

10

20

30

40

50

60

time t [s]

cente

r fr

equency f

c [

Hz]

Surface Pressure Level [dB1/12

]

0 1 2 3 4 5 6 7 8 9 10

200

400

600

800

1000

0 1 2 3 4 5 6 7 8 9 108

9

10

11

12

13

14

time t [s]

angle

of

att

ack

[deg]

100

105

110

115

10

20

30

40

50

60

DTU Wind Energy, Technical University of Denmark

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Aerofoil Pressure distribution Sept 1, 2009, 11:48

EWEA Conference 2014, Barcelona, Spain 13 7 July 2014

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1.2

x/c [-]

-p [

psi]

t=1.24s, =8.7o

t=4.74s, =9.1o

t=8.74s, =9.3o

t=3.74s, =11.9o

t=2.74s, =12.9o

t=6.24s, =12.9o

DTU Wind Energy, Technical University of Denmark

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Electrical Power and Angle of Attack, Sept 1, 2009, 11:48

EWEA Conference 2014, Barcelona, Spain 14 7 July 2014

0 1 2 3 4 5 6 7 8 9 101420

1440

1460

1480

1500

1520

1540

time t [s]

ele

c.

pow

er

[kW

]

0 1 2 3 4 5 6 7 8 9 108

9

10

11

12

13

14

time t [s]

angle

of

att

ack

[deg]

DTU Wind Energy, Technical University of Denmark

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Outline

• Experimental noise source characterisation on a full scale rotor

(DAN-AERO MW project)

• Relation between noise source and emitted far field sound

(measurement in Virginia Tech Wind Tunnel)

• Critical atmospheric conditions to cause (Other)AM

(DAN-AERO MW project)

• Control strategies to alleviate (Other)AM

• Conclusions

EWEA Conference 2014, Barcelona, Spain 15 7 July 2014

DTU Wind Energy, Technical University of Denmark

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Virginia Tech Stability Wind Tunnel

EWEA Conference 2014, Barcelona, Spain 16 7 July 2014

Air exchange tower

Control room

0.5MW Drive and Fan

Flow

Acoustic test section

Anechoic chambers 3m

DTU Wind Energy, Technical University of Denmark

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Virginia Tech Stability Wind Tunnel

EWEA Conference 2014, Barcelona, Spain 17 7 July 2014

Air exchange tower

Control room

0.5MW Drive and Fan

Flow

Acoustic test section

Anechoic chambers 3m

DTU Wind Energy, Technical University of Denmark

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Virginia Tech Stability Wind Tunnel

EWEA Conference 2014, Barcelona, Spain 18 7 July 2014

Air exchange tower

Control room

0.5MW Drive and Fan

Flow

Acoustic test section

Anechoic chambers 3m

DTU Wind Energy, Technical University of Denmark

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Prediction of far field sound pressure with measured surface pressure

102

103

104

20

25

30

35

40

45

50

55

60

center frequency f [Hz]

far

field

sound s

pectr

um

Spp [

dB

1/1

2]

NACA64-618, Re=1.5M

E=-0.88o

E=0.93o

E=2.77o

E=6.52o

mic. array

EWEA Conference 2014, Barcelona, Spain 19 7 July 2014

102

103

104

25

30

35

40

45

50

55

60

65

center frequency f [Hz]

far

field

sound s

pectr

um

Spp [

dB

1/1

2]

NACA64-618, Re=1.9M

E=6.27o (pre stall)

E=8.23o (post stall)

E=12.21o (deep stall)

102

103

104

70

75

80

85

90

95

100

105

110

115

120

center frequency f [Hz]

surf

ace p

ressure

spectr

um

Spp [

dB

1/1

2]

NACA64-618, Re=1.9M

Trailing edge noise [5] :

The effect of stall on noise emission:

DTU Wind Energy, Technical University of Denmark

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Outline

• Experimental noise source characterisation on a full scale rotor

(DAN-AERO MW project)

• Relation between noise source and emitted far field sound

(measurement in Virginia Tech Wind Tunnel)

• Critical atmospheric conditions to cause (Other)AM

(DAN-AERO MW project)

• Control strategies to alleviate (Other)AM

• Conclusions

EWEA Conference 2014, Barcelona, Spain 20 7 July 2014

DTU Wind Energy, Technical University of Denmark

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DANAERO MW Project 2009 Vestas, Siemens, LM Wind Power, DONG Energy, DTU

EWEA Conference 2014, Barcelona, Spain 21 7 July 2014

Siemens 3.6 MW Turbine

Pitot tube mounted at radial position r=36m

DTU Wind Energy, Technical University of Denmark

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DANAERO MW Project 2009 Vestas, Siemens, LM Wind Power, DONG Energy, DTU

EWEA Conference 2014, Barcelona, Spain 22 7 July 2014

Høvsøre Test Site

DTU Wind Energy, Technical University of Denmark

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Correlation of wind shear to variations in angle of attack

EWEA Conference 2014, Barcelona, Spain 23 7 July 2014

March 28, 2007

DTU Wind Energy, Technical University of Denmark

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Correlation of wind shear to variations in angle of attack

EWEA Conference 2014, Barcelona, Spain 24 7 July 2014

March 28, 2007

DTU Wind Energy, Technical University of Denmark

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Correlation of wind shear to variations in angle of attack

EWEA Conference 2014, Barcelona, Spain 25 7 July 2014

Difference between inflow angle (IA) and angle of attack (AOA)

DTU Wind Energy, Technical University of Denmark

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Outline

• Experimental noise source characterisation on a full scale rotor

(DAN-AERO MW project)

• Relation between noise source and emitted far field sound

(measurement in Virginia Tech Wind Tunnel)

• Critical atmospheric conditions to cause (Other)AM

(DAN-AERO MW project)

• Control strategies to alleviate (Other)AM

• Conclusions

EWEA Conference 2014, Barcelona, Spain 26 7 July 2014

DTU Wind Energy, Technical University of Denmark

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Mitigation - Decreasing mean angle of attack

EWEA Conference 2014, Barcelona, Spain 27 7 July 2014

• HawcStab2 simulations with varying min pitch angle

DTU Wind Energy, Technical University of Denmark

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Mitigation - Decreasing angle of attack variations

EWEA Conference 2014, Barcelona, Spain 28 7 July 2014

• HAWC2 simulations with individual pitch control, sheared inflow exp=0.5, no turbulence

DTU Wind Energy, Technical University of Denmark

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Mitigation - Decreasing angle of attack variations

EWEA Conference 2014, Barcelona, Spain 29 7 July 2014

• Yaw misalignment

DTU Wind Energy, Technical University of Denmark

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Outline

• Experimental noise source characterisation on a full scale rotor

(DAN-AERO MW project)

• Relation between noise source and emitted far field sound

(measurement in Virginia Tech Wind Tunnel)

• Critical atmospheric conditions to cause (Other)AM

(DAN-AERO MW project)

• Control strategies to alleviate (Other)AM

• Conclusions

EWEA Conference 2014, Barcelona, Spain 30 7 July 2014

DTU Wind Energy, Technical University of Denmark

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Conclusions

• Variation of the angle of attack during a revolution causes changes in the spectral energy of the noise sources on the blade

• Under normal conditions the variations of spectral energy are too small to lead to amplitude modulation far away from the turbine (NAM)

• If the blade undergoes transient stall the spectral energy in the low frequency range is significantly increased and it can lead to OAM

• Wind conditions leading to transient stall: high shear in combination with a mean wind speed close to rated wind speed

• Control strategies to mitigate OAM:

– reducing the mean angle of attack (collective pitch)

– reducing the angle of attack variations (individual pitch or yaw control)

EWEA Conference 2014, Barcelona, Spain 31 7 July 2014

DTU Wind Energy, Technical University of Denmark

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References

1) Oerlemans S. An explanation for enhanced amplitude modulation of wind turbine noise. In: Wind Turbine Amplitude Modulation: Research to Improve Understanding as to its Cause and Effect. RenewableUK, Dec. 2013.

2) Brooks TF, Pope DS, Marcolini MA. Airfoil Self-Noise and Prediction. NASA Reference Publication 1218, 1989.

3) S. Moreau and M. Roger. Back-scattering correction and further extensions of Amiet’s trailing-edge noise model. Part II: Application. J. of Sound and Vib. 323 (2009) 397–425

4) H. A. Madsen et al. The DAN-AERO MW Experiments: Final report. Tech. Rep. Risoe-R-1726(EN), Risoe-DTU, Roskilde, Denmark, September 2010.

5) Roger M, Moreau S. Back-scattering correction and further extensions of Amiet’s trailing-edge noise model. Part 1: theory. J. Sound Vib. 2005; 286:477–506.

EWEA Conference 2014, Barcelona, Spain 32 7 July 2014

Thank you!

7 July 2014