Journal of Mechanical Science and Technology

, Volume 30, Issue 10, pp 4503–4509 | Cite as

Effects of amplitude modulation on perception of wind turbine noise

  • Kiseop Yoon
  • Doo Young Gwak
  • Yeolwan Seong
  • Seunghoon Lee
  • Jiyoung Hong
  • Soogab Lee
Article

Abstract

Wind turbine noise is considered to be easily detectable and highly annoying at relatively lower sound levels than other noise sources. Many previous studies attributed this characteristic to amplitude modulation. However, it is unclear whether amplitude modulation is the main cause of these properties of wind turbine noise. Therefore, the aim of the current study is to identify the relationship between amplitude modulation and these two properties of wind turbine noise. For this investigation, two experiments were conducted. In the first experiment, 12 participants determined the detection thresholds of six target sounds in the presence of background noise. In the second experiment, 12 participants matched the loudness of modified sounds without amplitude modulation to that of target sounds with amplitude modulation. The results showed that the detection threshold was lowered as the modulation depth increased; additionally, sounds with amplitude modulation had higher subjective loudness than those without amplitude modulation.

Keywords

Amplitude modulation Wind turbine noises Detection threshold Subjective loudness 

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References

  1. [1]
    E. Pedersen and P. Larsman, The impact of visual factors on noise annoyance among people living in the vicinity of wind turbines, J. Environ. Psychol., 28 (2008) 379–389.CrossRefGoogle Scholar
  2. [2]
    R. H. Bakker, E. Pedersen, G. P. van den Berg, R. E. Stewart, W. Lok and J. Bouma, Impact of wind turbine noise on annoyance, self-reported sleep disturbance and psychological distress, Sci. Total Environ., 425 (2012) 42–51.Google Scholar
  3. [3]
    S. Oerlemans, P. Sijtsma and B. Méndez López, Location and quantification of noise sources on a wind turbine, J. Sound Vibr., 299 (2007) 869–883.CrossRefGoogle Scholar
  4. [4]
    C. Cheong and P. Joseph, Cyclostationary spectral analysis for the measurement and prediction of wind turbine swishing noise, J. Sound Vibr., 333 (2014) 3153–3176.CrossRefGoogle Scholar
  5. [5]
    G.-S. Lee and C. Cheong, Prediction and analysis of infra and low-frequency noise of upwind horizontal axis wind turbine using statistical wind speed model, AIP Advances, 4 (2014) 127117.CrossRefGoogle Scholar
  6. [6]
    V. V. Lenchine, Assessment of amplitude modulation in environmental noise, Appl. Acoust., 104 (2016) 152–157.CrossRefGoogle Scholar
  7. [7]
    E. Pedersen and K. P. Waye, Perception and annoyance due to wind turbine noise -a dose-response relationship, J. Acoust. Soc. Am., 116 (2004) 3460–3470.CrossRefGoogle Scholar
  8. [8]
    S. A. Janssen, H. Vos, A. R. Eisses and E. Pedersen, A comparison between exposure-response relationships for wind turbine annoyance and annoyance due to other noise sources, J. Acoust. Soc. Am., 130 (2011) 3746–3753.CrossRefGoogle Scholar
  9. [9]
    G. P. Van den Berg, Effects of the wind profile at night on wind turbine sound, J. Sound Vibr., 277 (2004) 955–970.CrossRefGoogle Scholar
  10. [10]
    S. Lee, S. Lee and S. Lee, Numerical modeling of wind turbine aerodynamic noise in the time domain, J. Acoust. Soc., 133 (2013) 94–100.CrossRefGoogle Scholar
  11. [11]
    K. Bolin, M. E. Nilsson and S. Khan, The potential of natural sounds to mask wind turbine noise, Acta Acustica., 96 (2010) 131–137.CrossRefGoogle Scholar
  12. [12]
    H. Levitt, Transformed up and down methods in psychoacoustics, J. Acoust. Soc. Am., 49 (1971) 467–477.CrossRefGoogle Scholar
  13. [13]
    Y. Seong, S. Lee, D. Gwak, Y. Cho, J. Hong and S. Lee, An experimental study on annoyance scale for assessment of wind turbine noise, J. Renew. Sustain. Energy, 5 (2013).Google Scholar
  14. [14]
    B. C. J. Moore, B. R. Glasberg and T. Bear, Model for prediction of thresholds, loudness and partial loudness, J. Aud. Eng. Soc., 45 (1997) 224–240.Google Scholar
  15. [15]
    B. R. Glasberg and B. C. J. Moore, Development and evaluation of a model for prediction the audibility of timevarying sounds in the presence of background sounds, J. Audio Eng. Soc., 53 (2005) 906–918.Google Scholar
  16. [16]
    B. C. J. Moore and B. R. Glasberg, A revision of Zwicker’s loudness model, Acta Acustica., 82 (1996) 335–345.Google Scholar
  17. [17]
    B. R. Glasberg and B. C. J. Moore, A model of loudness applicable to time-varying sounds, J. Audio Eng. Soc., 50 (2002) 331–342.Google Scholar
  18. [18]
    K. P. Waye and E. Pedersen, Psycho-acoustic characters of relevance for annoyance of wind turbine noise, J. Sound Vibr., 250 (2002) 65–73.CrossRefGoogle Scholar
  19. [19]
    E. Pedersen, F. van den Berg, R. Bakker and J. Bouma, Response to noise from modern wind farms in the Netherlands, J. Acoust. Soc. Am., 126 (2009) 634–643.CrossRefGoogle Scholar
  20. [20]
    H. Gockel, B. C. J. Moore and R. D. Patterson, Asymmetry of masking between complex tones and noise: Partial loudness, J. Acoust. Soc. Am., 114 (2003) 349–360.CrossRefGoogle Scholar
  21. [21]
    World wind energy report 2010, Reports of the World Wind Energy Association, WWEA (2011).Google Scholar
  22. [22]
    K. Yoon, D. Gwak, S. Lee and S. Lee, The effect of amplitude modulation on the detection threshold of wind turbine noise, Proceedings of the 4th Asia-Pacific Forum on Renewable Energy, AFORE, Yeo-su, Republic of Korea (2015).Google Scholar

Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Kiseop Yoon
    • 1
  • Doo Young Gwak
    • 1
  • Yeolwan Seong
    • 2
  • Seunghoon Lee
    • 3
  • Jiyoung Hong
    • 4
  • Soogab Lee
    • 5
  1. 1.AeroAcoustics and Noise Control Laboratory, Department of Mechanical and Aerospace EngineeringSeoul National UniversitySeoulKorea
  2. 2.Ammunition Engineering TeamDefense Agency for Technology and QualityDaejeonKorea
  3. 3.Aerodynamics Research TeamKorea Aerospace Research InstituteDaejeonKorea
  4. 4.Transportation Environmental Research Team, Green Transport & Logistics InstituteKorea Railroad Research InstituteUiwangKorea
  5. 5.Center for Environmental Noise and Vibration Research, Engineering Research Institute, Department of Mechanical and Aerospace EngineeringSeoul National UniversitySeoulKorea

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