Characterisation of wind farm infrasound and low-frequency noise

Zajamšek, Branko; Hansen, Kristy L.; Doolan, Con J.; Hansen, Colin H.

doi:10.1016/j.jsv.2016.02.001

Cited by 48 publications

(41 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MM model proposed in this article could be used in the future to study the effect of strong wind speed gradients, that is potentially the source of amplitude modulation at night (van den Berg, 2008;Zajamsek et al, 2016), the influence of the wind turbine wake on propagation (Barlas et al, 2017), or the combined influence of topography and meteorology, using for instance the rotated PE approach described in Lihoreau et al (2006).…”

Section: Results In a Neutrally Stratified Atmospherementioning

confidence: 99%

“…Wind turbine noise can be perceived at distances greater than one kilometer and is characterized by amplitude modulations at the receiver (Larsson andÖhlund, 2014;Zajamsek et al, 2016). As noise restrictions limit the areas where onshore wind farms can be built, an accurate prediction of the far-field noise is needed in order to improve the placement of the turbines at a given site, as well as to develop noise mitigation methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extended source models for wind turbine noise propagation

Cotté

2019

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

Accurate prediction of wind turbine noise propagation over long distances requires modeling the dominant broadband aerodynamic noise sources, as well as the main outdoor sound propagation effects. In this study, two methods are compared to include extended aeroacoustic source models in a parabolic equation (PE) code for wind turbine noise propagation in an inhomogeneous atmosphere. In the first method, an initial starter is obtained for each segment of the blade using the backpropagation approach. In the second method, the blade segments are viewed as moving monopole sources, and only a limited number of PE simulations are needed for different source heights across the rotor plane. The two methods are compared to the point source approximation first in a homogeneous medium for validation purposes, and then in a stratified inhomogeneous atmosphere. The results show that an extended source model is necessary to calculate the sound pressure level upwind, where a shadow zone is present, and obtain the correct amplitude modulation levels. Furthermore, the second method is seen to yield as accurate results as the first method when a sufficient number of source heights is considered with a computation time that is much reduced.

show abstract

Section: Results In a Neutrally Stratified Atmospherementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extended source models for wind turbine noise propagation

Cotté

2019

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

“…Nevertheless, a qualitative comparison between the presented results and two studies found in the literature is drawn. Zieger and Ritter (2018) showed seismic measurements in Germany that suggest an independence of discrete frequency peaks and blade-passing frequency. Although the amplitudes increase with increasing wind speed and rotational speed, the frequencies of the peaks do not change.…”

Section: Discussionmentioning

confidence: 99%

“…The emitted ground motion signals from wind turbines are measured by local seismic stations built for the detection of events with small magnitudes like far-away earthquakes or nuclear weapons tests. Zieger and Ritter (2018) observed an increase in amplitudes in a frequency range from 0.5 to 10 Hz dependent on the rotational speed of the turbine and thus wind speed at a distance of 5.5 km away from a wind turbine. This confirms the measurements by Stammler and Ceranna (2016) and Styles et al (2005), who found that nearby wind turbines reduce the sensitivity of seismic stations as they introduce wind dependence into the measured noise spectra.…”

Section: Emissions From Wind Turbinesmentioning

confidence: 92%

Advanced computational fluid dynamics (CFD)–multi-body simulation (MBS) coupling to assess low-frequency emissions from wind turbines

et al. 2018

View full text Add to dashboard Cite

Abstract. The low-frequency emissions from a generic 5 MW wind turbine are investigated numerically. In order to regard airborne noise and structure-borne noise simultaneously, a process chain is developed. It considers fluid–structure coupling (FSC) of a computational fluid dynamics (CFD) solver and a multi-body simulations (MBSs) solver as well as a Ffowcs-Williams–Hawkings (FW-H) acoustic solver. The approach is applied to a generic 5 MW turbine to get more insight into the sources and mechanisms of low-frequency emissions from wind turbines. For this purpose simulations with increasing complexity in terms of considered components in the CFD model, degrees of freedom in the structural model and inflow in the CFD model are conducted. Consistent with the literature, it is found that aeroacoustic low-frequency emission is dominated by the blade-passing frequency harmonics. In the spectra of the tower base loads, which excite seismic emission, the structural eigenfrequencies become more prominent with increasing complexity of the model. The main source of low-frequency aeroacoustic emissions is the blade–tower interaction, and the contribution of the tower as an acoustic emitter is stronger than the contribution of the rotor. Aerodynamic tower loads also significantly contribute to the external excitation acting on the structure of the wind turbine.

show abstract

“…Pure tones of 40,16, and 4 Hz were tested; their levels were set to 112.5, 121 and 132 dB SPL, respectively. These levels were chosen, as they are well above those associated with environmental infrasound, 26,27 and were inspired by the proposed curves by Møller and Pedersen 28 (which were interpolated/extrapolated). The LF/IS pure-tone levels are estimated to fall roughly between an 80-to 90-phon loudness level.…”

Section: Stimulimentioning

confidence: 99%

On the Effectiveness of airborne infrasound in eliciting vestibular-evoked myogenic responses

Jurado

Marquardt

2019

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

The use of airborne infrasound and other stimuli to elicit (cervical) vestibular-evoked myogenic potentials (cVEMPs) was studied to address the common proposition that infrasound may efficiently stimulate the vestibular system, an effect which may underlie the so-called wind-turbine syndrome. cVEMPs were measured for both ears of 15 normal-hearing subjects using three types of airborne sound stimulation: (1) 500-Hz tone bursts (transient); (2) 500-Hz sinusoidally amplitude-modulated tones at a 40-Hz rate (SAM); and (3) low-frequency and infrasound pure tones (LF/IS). The two former stimulation types served as control and allowed a systematic comparison with (3). It was found that SAM stimulation is effective and appears to be comparable to transient stimulation, as was previously observed in a yet small number of studies. Although the vestibular system is reported to be highly sensitive to low-frequency mechanical vibration, airborne LF/IS stimulation at ∼80–90-phon loudness levels did not elicit significant saccular vestibular responses.

show abstract

Characterisation of wind farm infrasound and low-frequency noise

Cited by 48 publications

References 22 publications

Extended source models for wind turbine noise propagation

Extended source models for wind turbine noise propagation

Advanced computational fluid dynamics (CFD)–multi-body simulation (MBS) coupling to assess low-frequency emissions from wind turbines

On the Effectiveness of airborne infrasound in eliciting vestibular-evoked myogenic responses

Contact Info

Product

Resources

About