Annoyance Related to Wind Turbine Noise

Pawlaczyk-Łuszczyńska, Małgorzta; Dudarewicz, Adam; Zaborowski, Kamil; Zamojska-Daniszewska, Małgorzata; Waszkowska, Małgorzata

doi:10.2478/aoa-2014-0010

Cited by 12 publications

(4 citation statements)

References 13 publications

(17 reference statements)

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“…Also, 67% reported that the sound was louder downwind when the wind was strong vs 18% who reported that it was less loud, and 40% thought the sound was louder at night while 22% thought it was less loud. In the Polish study [17] 40% of all respondents could hear the noise more clearly than usual when the wind was blowing from turbine towards their dwelling, and only 6% when the wind was from the opposite direction. The noise was more clearly heard when a rather strong wind was blowing (47%) and during warm summer nights (31%).…”

Section: Audible and Temporal Characteristics Of Wind Turbine Soundmentioning

confidence: 93%

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The relevance of AM mitigation

Van Den Berg

2024

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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The rhythmic character of wind turbine sound contributes significantly to the annoyance of the sound. In field studies the most often mentioned description refers to this rhythmic character (swishing, lashing, swooshing). A rhythmic variation of wind turbine sound has the frequency at which a blade passes the tower and is produced in two different ways. 'Normal' Amplitude Modulation (NAM) is caused by an increase in sound level when a blade moves towards a listener. 'Other' Amplitude Modulation (OAM) is most likely caused by flow separation at the blade tips. Long term measurements show that AM can be measured for a considerably percentage of time in a wide area around a wind turbine or wind farm. It occurs predominantly in two directions relative to the wind turbine(s): either in or close to the rotor plane or approximately perpendicular to the rotor plane. The two directions agree with what is expected for NAM and OAM, respectively. Although there are numerous studies on the modelling of wind turbine sound, as yet there are no methods to predict the presence or magnitude of OAM sound and hardly any effort to reduce it.

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Section: Audible and Temporal Characteristics Of Wind Turbine Soundmentioning

confidence: 93%

“…In a field study amongst Polish residents [17] the most frequent verbal descriptors of noise characteristics were "rustling" (28%), "swishing" (27%) and 'quiet' (23%). In Canadian and Japanese wind turbine noise field studies no question on the sound character was included.…”

Section: Audible and Temporal Characteristics Of Wind Turbine Soundmentioning

confidence: 99%

The relevance of AM mitigation

Van Den Berg

2024

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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“…A questionnaire to respond to noise from wind turbines was administered to 361 subjects living near 8 wind farms [48]. A general health questionnaire assessed the respondents' current mental health status.…”

Section: Structural Factors Of Energy Efficiency-review Of Sourcesmentioning

confidence: 99%

Optimization Methods for Wind Turbines

Rotkin

2024

Preprint

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This article is devoted to overcoming the contradiction between the problem of maximizing the extraction of wind energy as the goal of optimizing wind turbines, and the use of traditional methods based on criteria for the aerodynamic quality of the blades. A modified technique is considered in which the optimization criterion is the directly extracted flow power. It is based on pulse theory methods that use specific power as an optimization criterion. A comparative analysis of the energy efficiency of different types of turbines is carried out, and the effects of blade inversion are considered. A method for calculating multi-rotor turbines based on the concept of uniform power distribution is presented. The compatibility of proprietary and traditional methods is considered by comparing the results of numerical experiments with calculated and experimental data from sources. Optimization computational algorithms generate data from numerical experiments and determine optimal parameter configurations for the turbines under consideration. It is shown that orthogonal Darrieus turbines in high-speed mode provide energy efficiency comparable to collinear turbines, and multi-rotor turbines with power uniformly distributed over the working section are not inferior in energy efficiency to basic turbines, with linear blade velocities halved.

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“…Over the years, a considerable amount of studies has been implemented to examine the impacts on local residents' health results from turbine noise, with indicators including visual effect, self-control of noise, physical condition, attitude, and subjective opinions, as well as sensory acuity and sensitivity have been defined [7,11,12]. Among these indicators, individual sensitivity to turbine noise is a highly controversial topic, as some survey-based studies indicate that people living in higher noise-exposed areas are more sensitive to turbines noise [13,14], while others also argued that it is indeed the people living in lower noise-exposed areas who have higher wind turbines noise sensitivity [15,16]. Visibility of wind turbines was also found to be an important factor affecting the assessment of turbine noise.…”

Section: Introductionmentioning

confidence: 99%

Toward a Survey-Based Assessment of Wind Turbine Noise: The Impacts on Wellbeing of Local Residents

et al. 2020

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As a renewable energy source, wind energy harvesting provides a desirable solution to address the environmental concerns associated with energy production to satisfy the increasingly global demand. Over the years, the penetration of wind turbines has experienced a rapid growth, however, the impacts of turbine noise correspondingly become a major concern in wind energy harvesting. Recent studies indicate that the noise emitted by turbine operating could increase the risk of nuisance, which might further affect the well-being of local residents. However, the main factors affecting turbine noise assessment and to what extent they contribute to the assessment are still unclear. In this study, a survey-based approach is developed to identify these major factors and to explore the interactions between the factors and assessment results. Principal component analysis method was adapted to extract key factors; followed by reliability assessment, validity analysis, descriptive assessment, and correlation analysis were conducted to test the robust of the proposed methodology, as well as to examine the interactions between variables. Regression analysis was finally employed to measure the impacts on results contributed by the key factors. Findings of this study indicate that key factors including physical conditions, control capacity, and subjective opinions are of significant impact on residents’ response to wind turbine noise, while the factor of subjective opinions contributes predominately to the assessment results. Further validations also indicate that the proposed approach is robust and can be extensively applied in survey-based assessments for other fields.

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Annoyance Related to Wind Turbine Noise

Cited by 12 publications

References 13 publications

The relevance of AM mitigation

The relevance of AM mitigation

Optimization Methods for Wind Turbines

Toward a Survey-Based Assessment of Wind Turbine Noise: The Impacts on Wellbeing of Local Residents

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