Analysis of Acoustic Pressure Fluctuation
around Wind Farms

Zagubień, A.

doi:10.15244/pjoes/80947

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…It is not scientifically valid to logarithmically subtract the average statistical (that is, L A90 or level exceeded 90% of the time) ambient noise level (for a particular wind speed segment) from the average statistical wind farm plus ambient noise level to obtain the noise level due to the wind farm only. The L A90 level is the A-weighted sound level that is exceeded 90% of the time and is usually 2-3 dBA less than the average sound pressure level, L Aeq , which is the quantity specified in most regulations [169,181], as L Aeq is more closely related to human response to noise. Bowdler et al [169] also showed that the difference between L A90 and L Aeq increases as the amount of AM increases.…”

Section: Compliance Testingmentioning

confidence: 99%

Recent Advances in Wind Turbine Noise Research

Hansen

2020

Acoustics

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This review is focussed on large-scale, horizontal-axis upwind turbines. Vertical-axis turbines are not considered here as they are not sufficiently efficient to be deployed in the commercial generation of electricity. Recent developments in horizontal-axis wind turbine noise research are summarised and topics that are pertinent to the problem, but are yet to be investigated, are explored and suggestions for future research are offered. The major portion of recent and current research on wind turbine noise generation, propagation and its effects on people and animals is being undertaken by groups in Europe, UK, USA, Japan, Australia and New Zealand. Considerable progress has been made in understanding wind turbine noise generation and propagation as well as the effect of wind farm noise on people, birds and animals. However, much remains to be done to answer many of the questions for which answers are still uncertain. In addition to community concerns about the effect of wind farm noise on people and how best to regulate wind farm noise and check installed wind farms for compliance, there is considerable interest from turbine manufacturers in developing quieter rotors, with the intention of allowing wind farm installations to be closer to populated areas. The purpose of this paper is to summarise recent and current wind farm noise research work and the research questions that remain to be addressed or are in the process of being addressed. Topics that are the subject of on-going research are discussed briefly and references to recent and current work are included.

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Section: Compliance Testingmentioning

confidence: 99%

Recent Advances in Wind Turbine Noise Research

Hansen

2020

Acoustics

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“…Wind farm AM is commonly described as 'swish swoosh' or 'rumble' and is of particular research interest due to its propensity to contribute to annoyance [23,33,17] and possible sleep disturbance [36]. However, its characteristics such as depth (or degree), duration, consistency and occurrence time could vary between wind farms [46]. Previous long-term WFN measurements found wind farm AM to be associated with wind direction [7,22,31], sound speed gradient, solar elevation angle, turbulence intensity [22], and diurnal meteorological variations [15,7].…”

Section: Introductionmentioning

confidence: 99%

Long-term quantification and characterisation of wind farm noise amplitude modulation

Nguyen,

Hansen,

Catcheside

et al. 2022

Preprint

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The large-scale expansion of wind farms has prompted community debate regarding adverse impacts of wind farm noise (WFN). One of the most annoying and potentially sleep disturbing components of WFN is amplitude modulation (AM). Here we quantified and characterised AM over one year using acoustical and meteorological data measured at three locations near three wind farms. We found that the diurnal variation of outdoor AM prevalence was substantial, the nighttime prevalence was approximately 2 to 5 times higher than the daytime prevalence. On average, indoor AM occurred during the nighttime from 1.1 to 1.7 times less often than outdoor AM, but the indoor AM depth was higher than that measured outdoors. We observed an association between AM prevalence and sunset and sunrise. AM occurred more often at downwind and crosswind conditions. These findings provide important insights into long term WFN characteristics that will help to inform future WFN assessment guidelines.

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“…The wind energy is generated without harmful emission of pollutants to the atmosphere, therefore it has minor impact on ecosystems [7][8][9]. A potential impact on the avian fauna [10] and excessive noise generation exist [11][12][13][14]. However, the areas occupied by wind farms can still be used for agricultural and other purposes.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Wind Turbine Selection for the Given Wind Conditions

2021

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The aim of the current paper is to present an approach to a wind turbine selection based on an annual wind measurements. The proposed approach led to a choice of an optimal device for the given wind conditions. The research was conducted for two potential wind farm locations, situated on the north of Poland. The wind measurements pointed out a suitability of the considered localizations for a wind farm development. Six types of wind turbines were investigated in each localization. The power of the wind turbines were in the range of 2.0 to 2.5 MW and with a medium size of the rotor being in the range of 82 to 100 m. The purpose of the research was to indicate a wind turbine with the lowest sensitivity to the variation of wind speed and simultaneously being most effective energetically. The Weibull density distribution was used in the analyses for three values of a shape coefficients k. The energy efficiency of the considered turbines were also assessed. In terms of the hourly distribution of the particular wind speeds, the most effective wind turbines were those with a nominal power of 2 MW, whereas the least effective were those with the nominal power of 2.3–2.5 MW. The novelty of the proposed approach is to analyze the productivity for many types of wind turbines in order to select the one which is the most effective energy producer. The analyses conducted in the paper allowed to indicate a wind turbine which generates the highest amount of energy independently on the wind speed variation.

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Analysis of Acoustic Pressure Fluctuation around Wind Farms

Cited by 4 publications

References 7 publications

Recent Advances in Wind Turbine Noise Research

Recent Advances in Wind Turbine Noise Research

Long-term quantification and characterisation of wind farm noise amplitude modulation

Analysis of the Wind Turbine Selection for the Given Wind Conditions

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