Accuracy of noise predictions for wind farms (English)

in Wind Turbine Noise 2013, WTN, International Conference on Wind Turbine Noise, 5 ; 702-718
Wind Turbine Noise 2013, WTN, International Conference on Wind Turbine Noise, 5
Curran Associates , Red Hook; 2013

Predictions of environmental noise from wind farms are important component of the planning stage for new facilities to be located near to noise sensitive receivers. The noise limits defined by regulatory authorities will often constrain the layout and number of turbines that can be sited within the wind farm, which will in turn constrain the potential power generation capacity. This paper presents the findings of studies conducted by the authors into the accuracy of noise predictions for wind farms using the ISO 9613-2 methodology. A study into the accuracy of predictions at 13 sites across six wind farms found that: The ISO 9613-2 methodology is unlikely to result in significant under-predictions of wind turbine noise at receiver locations with the use of an appropriate ground absorption factor to adjust for apparent topographical effects. In the case of a concave slope from turbine to receiver a ground absorption factor of 0 should be used for predictions. The current correction factor suggested by the Institute of Acoustics should also be considered where it is warranted by the topography. For flat sites, a ground absorption factor of 0.5 is likely to be more appropriate. Further work is required to reduce the chance of considerable over-predictions at sites with steady downward slopes. Under-prediction does not appear to be a risk at these sites with current prediction methods. A preliminary analysis of noise propagation under different meteorological conditions was also undertaken. It appears that periods of high wind shear and temperature inversion do not result in increases in noise propagation for wind farms, despite their known effects on noise sources located close to the ground. Overall, the accuracy of current wind farm noise models is good, especially considering the uncertainty that exists in the prediction of other noise sources such as road traffic noise and industrial noise. Based on investigations undertaken by the authors, there is not believed to be a risk of significant under-prediction of wind farm noise at receiver locations when good practice noise modelling procedures are employed.

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Table of contents conference proceedings

The table of contents of the conference proceedings is generated automatically, so it can be incomplete, although all articles are available in the TIB.

1
Infrasound Measurement, Interpretation and Misinterpretation
Walker, Bruce | 2013
33
The Measurement of Infrasound and Low Frequency Noise for Wind Farms
Cooper, Steven | 2013
85
Perception of low frequency components contained in wind turbine noise
Yokoyama, Sakae / Sakamoto, Shinichi / Tachibana, Hideki | 2013
108
Audible amplitude modulation - results of field measurements and investigations compared to psychoacoustical assessment and theoretical research
Stigwood, Mike / Large, Sarah / Stigwood, Duncan | 2013
166
Application of Phased Array Techniques for Amplitude Modulation Mitigation
Buck, Steven / Palo, Scott / Moriarty, Patrick | 2013
176
Evaluation of Secondary Windshield Designs for Outdoor Measurement of Low Frequency Noise and Infrasound
Hansen, Kristy / Zajamsek, Branko / Hansen, Colin | 2013
267
Hybrid Methods for Noise Prediction in Aeroacoustic Simulations of Small Vertical Axis Wind Turbines
Weber, Johannes / Becker, Stefan / Scheit, Christoph / Kaltenbacher, Manfred | 2013
291
The effect on noise emission from a wind turbine due to ice accretion on rotor blades
Arbinge, Peter / Appelqvist, Paul | 2013
322
Noise from one stage of helical gears by wind turbine load
Park, Chan-Il | 2013
330
A validated virtual prototyping approach for avoiding wind turbine tonality
Sonja, Goris / Ribbentrop, Alexander / Markiewicz, Marian / Wartzack, Sandro / Desmet, Wim | 2013
359
Noise Source Localization On A 8kW Wind Turbine Using A Compact Microphone Array With Advanced Beamforming Algorithms
Ramachandran, Rakesh Chandran / Patel, Hirenkumar / Jiang, Yong / Shi, Xiaodong / Krishnamurth, Mahesh / Raman, Ganesh | 2013
694
Environmental noise assessment of proposed wind farms using annual average Ldn
Bliss, Mark | 2013
702
Accuracy of noise predictions for wind farms
Cooper, Jonathan / Evans, Tom | 2013

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