Model for the prediction of noise from wind turbines

Keywords: Wind turbine noise, Standard ISO 9613 Part 2, Noise propagation, Prediction model


This article presents a prediction model that can be applied to estimate the propagation of noise generated by wind turbines through an easy calculation procedure. The proposed prediction model is semi-empirical and based on the analysis of phenomena related to the generation and propagation of sound levels and field measurements. An experimental program was designed that included the measurement of sound pressure levels with a sound level meter to different weather conditions and distances within a wind farm to compare them with the levels estimated by ISO 9613 Part 2. A statistical analysis of the data recorded in field was performed to observe the dependence on the meteorological variables recorded during the measurements. The model explains 92.5% of the variability of the residual sound pressure level and has an average absolute error of 2.9 dB. After eliminating 5.0% of the data considered atypical, the proposed model explains 94.7% of the variability of the residual sound pressure level, with an average absolute error of 2.5 dB. A statistically significant relationship exists between the variables with a confidence level of 95.0%. The results have provided a rather satisfactory model for predicting noise from wind turbines up to distances of 900 m, greatly improving what has been achieved so far by the method established in standard ISO 9613 Part 2. literature for that particular subject.

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Author Biographies

Carlos Alberto Echeverri-Londoño, Universidad de Medellín

Department of Environmental Engineering.

Alice Elizabeth González-Fernández, University of the Republic

Department of Environmental Engineering.


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

P. Dickinson, “A pragmatic view of a wind turbine noise standard,” in Acoustics 2009, 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. Bass, A. Bullmore, and E. Sloth, “Development of a wind farm noise propagation prediction model,” The European Commision, Brussels, Belgium, Tech. Rep., Jan. 1996.

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.

Guide to Predictive Modelling for Environmental Noise Assessment, National Physical Laboratory, Teddington, Londres, 2004-2007.

M. Wondollek, “Sound from wind turbines in forest areas,” Thesis, Faculty of Science and Technology UTH unit,Uppsala university., Upsala, Suecia, 2009.

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

S. Hoogzaad, “Measuring and calculating turbine noise immission in the netherlands,” MBBM, Stockholm, Sweden, 2009.

K. Kaliski and D. Keith, “Improving predictions of wind turbine noise using pe modeling,” NOISE-CON 2011, Portland, Oregon, 2011.

J. Lamancusa. (2001, Jul. 13) Engineering noise control. [Online]. Available:

L. Conceição, “Wind turbine noise prediction,” M.S. thesis, , Instituto Superior Técnico, Universidade Técnica de Lisboa, Lisboa, Portugal, 2008.

B. Dawson and N. Mackenzie, “Meteorological stability impacts on wind turbine noise assessments,” in Proceedings of Acoustics 2013, Victor Harbor, Australia, 2013, pp. 1–8.

W. Zhu, “Modelling of noise from wind turbines,” Ph.D. dissertation, Mechenical Department, Technical University of Denmark., Lyngby, Denmark, 2004.

P. Moriarty and P. Migliore, “Semi-empirical aeroacoustic noise prediction code for wind turbines,” National Renewable Energy Laboratory, Golden, USA, Tech. Rep. NREL/TP-500-34478, Dec. 2003.

S.Oerlemans, P.Sijtsma, and B.Méndez, “Location and quantification of noise sources on a wind turbine,” Journal of sound and vibration, vol. 299, no. 4-5, pp. 869–883, Feb 2007.

P. Fuglsang and H. Aagaard, “Implementation and verification of an aeroacoustic noise prediction model for wind turbines,” Risø National Laboratory, Roskilde, Denmark, Tech. Rep., Mar. 1996.

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

K. Attenborough, “A review of ground impedance models for propagation modelling,” University of Hull, Hull, UK, Tech. Rep., 2002.

K. Attenborough, “Developments in modelling and measuring ground impedance,” in 17th International Congress on Acoustics, Rome, Italy, 2001, pp. 1–2.

J. Prospathopoulos and S. Voutsinas, “Application of a ray theory model to the prediction of noise emissions from isolated wind turbines and wind parks,” WIND ENERGY, vol. 10, pp. 103–119, Dec 2007.

H. Kruse, “In-situ measurement of ground impedances,” Ph.D. dissertation, Universität Oldenburg, Oldenburg, Germany, 2008.

F. Molina, O. Rengifo, and F. Vélez, “Modelo de dispersión gaussiano de contaminantes atmosféricos,” Revista AINSA, vol. 13, no. 1, pp. 33–47, En 1993.

T. E. E. Zidan and A. Elsabbagh, “Comparison of sound power prediction models of wind turbines,” in in International Conference on Advances in Agricultural, Biological & Environmental Sciences, Dubai, United Arab Emirates, 2014, pp. 49–54.

How to Cite
Echeverri-Londoño C. A., & González-Fernández A. E. (2018). Model for the prediction of noise from wind turbines. Revista Facultad De Ingeniería Universidad De Antioquia, (88), 56-66.