Prediction of noise from wind turbines: a theoretical and experimental study

Authors

DOI:

https://doi.org/10.17533/udea.redin.n90a04

Keywords:

wind turbine noise, ISO 9613 Part 2, noise propagation

Abstract

Several noise propagation models used to calculate the noise produced by wind turbines have been reported. However, these models do not accurately predict sound pressure levels. Most of them have been developed to estimate the noise produced by industries, in which wind speeds are less than 5 m/s, and conditions favor its spread. To date, very few models can be applied to evaluate the propagation of sound from wind turbines and most of these yield inaccurate results. This study presents a comparison between noise levels that were estimated using the prediction method established in ISO 9613 Part 2 and measured levels of noise from wind turbines that are part of a wind farm currently in operation. Differences of up to 56.5 dBZ, with a median of 29.6 dBZ, were found between the estimated sound pressure levels and measured levels. The residual sound pressure levels given by standard ISO 9613 Part 2 for the wind turbines is larger for high frequencies than those for low frequencies. When the wide band equivalent continuous sound pressure level is expressed in dBA, the residual varies between −4.4 dBA and 37.7 dBA, with a median of 20.5 dBA.

|Abstract
= 343 veces | PDF
= 265 veces| | HTML
= 0 veces|

Downloads

Download data is not yet available.

Author Biographies

Carlos Alberto Echeverri-Londoño, University of Medellín

Department of Environmental Engineering.

Alice Elizabeth González-Fernández, University of the Republic

Department of Environmental Engineering.

References

Attenuation of sound during propagation outdoors: General method of calculation, ISO 9613 Part 2, 1996.

P. J. Dickinson, “A pragmatic view of a wind turbine noise standard,” in Acoustics, Adelaide, Australia, 2009, pp. 1–8.

G. van den Berg, “The sound of high winds: The effect of atmospheric stability on wind turbine sound and microphone noise,” Ph.D. dissertation, University of Groningen, Groningen, Netherlands, 2006.

J. H. Bass, A. J. Bullmore, and E. Sloth, “Development of a wind farm noise propagation prediction model,” The European Commision, Brussels, Belgium, Tech. Rep., May 1998.

E. Pedersen, J. Forssén, and K. P. Waye, “Human perception of sound from wind turbines,” Swedish Environmental Protection Agency, Stockholm, Sweden, Tech. Rep. 6370, Jun. 2010.

M. Wondollek, “Sound from wind turbines in forest areas,” Uppsala Universitet, Uppsala, Sweden, Tech. Rep., Jan. 2009.

M. Friman, “Directivity of sound from wind turbines. a study on the horizontal sound radiation pattern from a wind turbine,” M.S. thesis, The Marcus Wallenberg Laboratory for Sound and Vibration Research, Stockholm, Sweden, 2011.

S. Hoogzaad, “Measuring and calculating turbine noise immission in the netherlands,” in Wind expert meeting sound propagation models, Stockholm, Sweden, 2009, pp. 1–18.

K. Kaliski, E. Duncan, D. K. Wilson, and S. Vecherin, “Improving predictions of wind turbine noise using pe modeling,” in 158th Meeting Acoustical Society of America/NOISE-CON, Portland, USA, 2011, pp. 1–13.

R. E. Walpole, R. H. Myers, and S. L. Myers, Probability and statistics for engineers, 6th ed. Naucalpan, Mexico: Prentice Hall, 1999.

B. Thorne, “The problems with ”noise numbers” for wind farm noise assessment,” Bulletin of Science Technology and Society, vol. 31, no. 4, pp. 1–262, Jul. 2011.

B. Martín and et al., “Acoustic impact of wind farms and their evolution,” in Acústica, Coimbra, Portugal, 2008, pp. 1–11.

H. Møller and C. S. Pedersen, “Low-frequency noise from large wind turbines,” Journal of the Acoustical Society of America, vol. 129, no. 6, pp. 3727–3744, Jun. 2011.

Downloads

Published

2019-12-14

How to Cite

Echeverri-Londoño, C. A., & González-Fernández, A. E. (2019). Prediction of noise from wind turbines: a theoretical and experimental study. Revista Facultad De Ingeniería Universidad De Antioquia, (90), 28–33. https://doi.org/10.17533/udea.redin.n90a04