dr con doolan, university of adelaide: developing a quieter wind turbine – understanding the...
DESCRIPTION
Dr Con Doolan, Associate Professor, University of Adelaide delivered this presentation at 2013 Australian Wind Energy Conference. The event gave conference attendees key insights into how the new Abbott Government may impact future developments in the industry. The conference has a long-standing history of bring together key policy stakeholders, government representatives, project developers, energy companies and regulators. For more information about the annual event, please visit the conference website: https://www.informa.com.au/windenergyconference.TRANSCRIPT
Developing a quieter wind turbine – Understanding the effects of blade
generated turbulence and noise
Associate Professor Con Doolan
School of Mechanical Engineering
University of Adelaide, SA 5005
1
The Flow and Noise Group: What we do
• Fundamental and applied research in the area of flow-induced noise (aeroacoustics/hydroacoustics)
• Application areas: Jet noise/airframe noise/helicopter noise/wind turbines/submarine noise/automotive wind noise/fan noise…
• 3 Postdocs
• ~11 HDRs
Facilities
• Anechoic Wind Tunnel
• Anechoic Chamber
• Reverb Chamber
• Large Wind Tunnel
• Excellent Acoustic Instrumentation, including arrays and high-channel-count DAQ systems
• World-class flow instrumentation, hot-wire, laser diagnostics, surface pressure, etc
• Supercomputer facilities
Anechoic Wind Tunnel
Slide 4
Fan
Anechoic Chamber
Collector
Diffuser
Contraction
Silencer
Settling Chamber
Outlet: 275 mm x 75 mm Velocity Range: 3-38 m/s T.I. = 0.3%
Dual Beamforming Arrays
Acoustic “image” for wall-mounted hydrofoil
Adelaide Wind Tunnel
•Cross-section area: 2.75 x 2 square metres •Maximum air speed: 50 m/s (180 km/h) •Turbulence intensity: less than 0.8%
Wind Turbine Wind Tunnel Measurements: about to start
Projects
Airfoil/Hydrofoil Noise Turbulent/Laminar edge noise
Hydrofoil
Recessed Hydrophone
Flow
Wall Mounted Air/Hydrofoils
Cavity/Feedback Loop
RANS-Based CAA
Flow
CFD
Wind Turbines
CAA/DNS
Jet Noise
Wind Turbine Noise: Why is it important?
• Noise emissions are regulated
• Lower turbine noise emissions can ease planning and possibly allow greater numbers of turbines
• Community engagement: sometimes the issue of noise becomes emotive and can affect planning approval
• Quality scientific advice required based on evidence
9
This talk…
• How is wind turbine noise generated?
• Blade Swish
• Multiple Turbines
• Atmospheric effects
• Trailing edge noise control
• Future Challenges
10
Wind Turbine Unsteady Aerodynamics and Noise
11
Convected atmospheric turbulence
Incoming turbulent atmospheric boundary
layer
Wind turbine blade
Gearbox
Blade passes tower as it rotates
Tower
12
Blade motion
Tip vortex
Boundary layer turbulence
passing over trailing edge
Atmospheric
turbulence ahead
of moving blade
Blade boundary
layerTrailing edge
Blade Tip
13
Spectral Content and Sources
Flow
Turbulence interaction with leading edge: Noise
Turbulence interaction with trailing edge: Noise
Airfoil Noise
Airfoil noise is… • Hard to predict
– Turbulent structure, statistics, anisotropic, non-homogeneous, adverse pressure gradient – too much reliance on empirical models
– Laminar/Transitional Tonal noise: controversial area – feedback loop or global instability with facility effects?
• Hard to measure
– Broadband signal, sometimes hard to distinguish from other sources
– Requires sophisticated techniques: multi-microphone, beamforming arrays – time reversal?
• Hard to control
– Passive noise control methods are difficult to implement and don’t agree with theoretical predictions.
Swish? Trailing Edge Noise Directivity + Convective Amplification
16
Phased Array Measurements*
*Oerlemans, S., Sijtsma, P. & Mendez Lopez, B., 2007. Location and quantification of noise sources on a wind turbine. Journal of Sound and Vibration, 299(4-5), pp.869–883. 17
Propagation & Weather Effects
18
Atmospheric Boundary Layer
19
Day
Night
van den Berg, G., 2004. Effects of the wind profile at night on wind turbine sound. Journal of Sound and Vibration.
Terrain Effects
20
Son, E. et al., 2010. Integrated numerical method for the prediction of wind turbine noise and the long range propagation. Current Applied Physics, 10(S), pp.S316–S319.
Reinforcement Model
21
Owls: Slient Flight – Silent Turbines?
Sarradj et al. (2010) 16th AIAA/CEAS Aeroacoustics Conference, Stockholm, June.
Tyto Alba – Barn Owl
Oerlemans et al. Reduction of Wind Turbine Noise Using Optimized Airfoils and Trailing-Edge Serrations. AIAA JOURNAL (2009) vol. 47 (6) pp. 1470-1481
Noise Control: Trailing Edge Serrations
Noise Control: Numerical Optimisation of Blades
Marsden et al. Trailing-edge noise reduction using derivative-free optimization and large-eddy simulation. Journal of Fluid Mechanics (2007) vol. 572 pp. 13
Noise Control: Trailing Edge Modifications
HERR and DOBRZYNSKI. Experimental investigations in low-noise trailing-edge design. AIAA Journal (2005)
Brushes
Porous Trailing Edge
Geyer et al. Measurement of the noise generation at the trailing edge of porous airfoils. Experiments in Fluids (2010) vol. 48 (2) pp. 291-308
Passive Control: Serrations
Mean Chord = 165 mm Re = 160,000 – 420,000
Narrow serrations with λ = 3 mm. Wide serrations with λ = 9 mm.
Experiment
Theory
Active Control?
• Amplitude modulation MAY be caused by time-varying reinforcement of nearly synchronised blade motion • Can this be overcome by phase de-synchronisation? • What mechanism dominates – Trailing edge noise? • How many turbines in a row contribute? • Can an active control system be devised?
29
Slide 30
UpWind: Design limits and solutions for very large wind turbines, EU 6th Energy Framework, March 2011
Blade Reynolds number Increases with Capacity
Re 9-25 Million
Future Challenges
31
Highest Reynolds No. Data we have…
10−1
100
95
100
105
110
115
120
125
130
135
140
St
SP
L1
/3 S
cale
d (
dB
)
NASA 81, Re = 2.88e6
IAG, Re = 2.8e6
VT, Re = 3.05e6
More fundamental experiments are needed to properly understand blade noise, at higher Reynolds number, with better techniques.
32
0 2 4 6 8 100
1000
2000
3000
4000
5000
6000
Re/106
f pea
k (
Hz)
Peak radiating frequency vs Size
SIZE
Error ≈ 30%
Thanks
• Australian Research Council, ASC, DSTO, US Air Force, the Sir Ross and Sir Keith Smith Fund
• All my postgrads and postdocs for making me look good
Questions?