scholarly journals Personal and situational variables associated with wind turbine noise annoyance

2016 ◽  
Vol 139 (3) ◽  
pp. 1455-1466 ◽  
Author(s):  
David S. Michaud ◽  
Stephen E. Keith ◽  
Katya Feder ◽  
Sonia A. Voicescu ◽  
Leonora Marro ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Wind Turbine Noise ◽  
Situational Variables ◽  
Noise Annoyance

scholarly journals Erratum: Personal and situational variables associated with wind turbine noise annoyance [J. Acoust. Soc. Am. 139(3), 1455–1466 (2016)]

2016 ◽  
Vol 140 (4) ◽  
pp. 2234-2234 ◽  
Author(s):  
David S. Michaud ◽  
Stephen E. Keith ◽  
Katya Feder ◽  
Sonia A. Voicescu ◽  
Leonora Marro ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Wind Turbine Noise ◽  
Situational Variables ◽  
Noise Annoyance

scholarly journals Reduction of Wind Turbine Noise Annoyance: An Operational Approach

2012 ◽  
Vol 98 (3) ◽  
pp. 392-401 ◽  
Author(s):  
Annelies Bockstael ◽  
Luc Dekoninck ◽  
Arnaud Can ◽  
Damiano Oldoni ◽  
Bert De Coensel ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Wind Direction ◽  
Noise Level ◽  
Electricity Production ◽  
Periodic Part ◽  
Octave Band ◽  
Wind Turbine Noise ◽  
Directivity Effect ◽  
Noise Annoyance ◽  
Exposure Indicators

This paper investigates the relationship between wind turbine noise annoyance, exposure indicators, operational characteristics and environmental variables. A six-month field experiment at an industrial site near a residential area includes regular on-line annoyance reports, continuous 1/3-octave band noise level registrations, periodic sound recordings, data on electricity production per minute and meteorological observations. Here the risk of high annoyance does not only depend on the angular blade velocity, but also on the wind turbines' nacelle position relative to the location of the dwellings, i.e. the wind direction. This directivity effect can be captured when noise parameters such as the background noise level caused by other sources and a so-called fluctuation-indicator are introduced, the latter calculated from the 1/3-octave band spectra to quantify the periodic part of wind turbine noise. In addition, the calculated turbine's specific emission levels are closely related to the angular blade velocity, and an important parameter to predict the risk of high annoyance. Finally, these results suggest that operational restrictions based on wind direction together with the angular blade velocity might help to reduce noise annoyance while preserving cost-effectiveness.

scholarly journals Investigation of occupational noise annoyance in a wind turbine power plant

2018 ◽  
Vol 38 (2) ◽  
pp. 798-807 ◽  
Author(s):  
Mohammad R Monazzam ◽  
Seyed A Zakerian ◽  
Zeinab Kazemi ◽  
Mohammad H Ebrahimi ◽  
Maryam Ghaljahi ◽  
...  
Keyword(s):  
Power Plant ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Noise Exposure ◽  
Noise Sensitivity ◽  
Wind Power Plant ◽  
Occupational Noise ◽  
Wind Turbine Noise ◽  
Noise Annoyance ◽  
Exposure Age

Noise, emitted by wind turbines, is one of the main health risk factors which has been recently considered in many researches. Noise annoyance is among the most important human responses to noise. The aim of this work was to modeling of annoyance due to noise at workplace coming from wind turbines in workers. All workers of a wind power plant consisted the study sample. The equivalent noise level was measured using a task-based method. Moreover, data related to noise annoyance and noise sensitivity were acquired by standardized methods. Based on the results, noise exposure, noise sensitivity, visibility, age, and experience affected noise annoyance. According to path analysis, the most indirect and direct effect on noise annoyance were attributed to noise exposure. Age, sensitivity, and noise exposure were positively associated to annoyance. It can be concluded that there is a significant relationship between age, experience, sensitivity to noise, and exposure to the wind turbine noise with noise annoyance.

Variables associated with wind turbine noise annoyance and sleep disturbance

2019 ◽  
Vol 150 ◽  
pp. 339-348 ◽  
Author(s):  
Jenni Radun ◽  
Valtteri Hongisto ◽  
Maija Suokas
Keyword(s):  
Sleep Disturbance ◽  
Wind Turbine ◽  
Wind Turbine Noise ◽  
Noise Annoyance

scholarly journals Effect of modulation depth, frequency, and intermittence on wind turbine noise annoyance

2016 ◽  
Vol 139 (3) ◽  
pp. 1241-1251 ◽  
Author(s):  
Christina Ioannidou ◽  
Sébastien Santurette ◽  
Cheol-Ho Jeong
Keyword(s):  
Wind Turbine ◽  
Modulation Depth ◽  
Wind Turbine Noise ◽  
Noise Annoyance

scholarly journals Noise Annoyance Caused by Amplitude Modulated Sounds Resembling the Main Characteristics of Temporal Wind Turbine Noise

2016 ◽  
Vol 41 (2) ◽  
pp. 221-232 ◽  
Author(s):  
Honorata Hafke-Dys ◽  
Anna Preis ◽  
Tomasz Kaczmarek ◽  
Adam Biniakowski ◽  
Paweł Kleka
Keyword(s):  
Wind Turbine ◽  
Modulation Depth ◽  
Sound Level ◽  
Broadband Noise ◽  
Wind Turbine Noise ◽  
Noise Annoyance ◽  
Significant Difference ◽  
Different Types ◽  
Modulation Rate ◽  
Listening Experiment

Abstract Annoyance ratings for artificially created noises, resembling the main characteristics of temporal wind turbine noise, were studied by means of a listening experiment involving 21 participants with normal hearing. Three types of stimuli were examined: broadband noise (−4 dB/octave), noise generated by moving cars, and narrowband noise. All stimuli had the sound level fluctuations typical for wind turbine noise. The magnitude of the sound level fluctuations was measured in a quantitative way, by using the characteristics of amplitude modulated sound: modulation rate and modulation depth. Our aim was to examine how the modulation rate and the modulation depth influence the noise annoyance assessment of broadband and narrowband amplitude modulated noises. Three different modulation rates, 1, 2 and 4 Hz, and sound level fluctuations (a measure of the modulation depth), 3, 6, 9 dB, were applied to each type of stimuli (with exception of noise generated by the moving cars) and investigated. The participants in the listening experiment were presented with sound stimuli in laboratory conditions and asked to rate their annoyance on a numerical scale. The results have shown a significant difference between the investigated conditions. The effect was particularly strong between the annoyance judgments of different types of noise (narrow and broadband), and modulated versus unmodulated noises. Temporal fluctuations occurring in wind turbine noise are very pertinent to the perception of annoyance and could be responsible for its being a relatively annoying noise source. The obtained results were discussed and compared to the typical modulation rates and level changes that occur in recordings of real wind turbine noise.

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