Resource Documents: Noise (636 items)
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Author: Freiberg, Alice; et al.
PURPOSE: The health effects of visible wind turbine features on residents were investigated. Further, it was examined, if visual annoyance has an influence on residents’ health, and if wind turbine visibility impacts residents’ health independently of or in combination with acoustical aspects.
METHODS: Medical databases, Google Scholar, public health institutions, and reference lists were searched systematically (PROSPERO registry number: CRD42016041737). Two independent reviewers screened titles/abstract and full texts, extracted data, and critically appraised the methodology of included studies. Study findings were analyzed qualitatively and quantitatively.
RESULTS: Seventeen studies from 19 publications of varying methodological quality were included (two cohort studies, fifteen cross-sectional studies). The pooled prevalence of high annoyance due to altered views and shadow flicker was 6% each. The results of other health effects were inconsistent, with some indications showing that direct wind turbine visibility increases sleep disturbance. Annoyance by direct visibility, shadow flicker, and blinking lights was significantly associated with an increased risk for sleep disorders. One study indicated reactions to visual wind turbine features may be influenced by acoustical exposures.
CONCLUSIONS: In interpreting the results, the differing methodological quality of the included studies needs to be considered. Direct and indirect wind turbine visibility may affect residents’ health, and reactions may differ in combination with noise. Further, annoyance by wind turbine visibility may interact as mediator between visual exposures and the health of local residents. To confirm the results, more high-quality research is needed.
Alice Freiberg · Christiane Schefter · Janice Hegewald · Andreas Seidler
Boysen TU Dresden Graduate School, Technische Universität Dresden, Germany.
Institute and Policlinic of Occupational and Social Medicine, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Germany.
Int Arch Occup Environ Health. 2019 Jan 23. doi: 10.1007/s00420-019-01403-w. [Epub ahead of print]
Download original document: “The influence of wind turbine visibility on the health of local residents”
Author: Marcillo, Omar; et al.
Infrasound from a 60‐turbine wind farm was found to propagate to distances up to 90 km under nighttime atmospheric conditions. Four infrasound sensor arrays were deployed in central New Mexico in February 2014; three of these arrays captured infrasound from a large wind farm. The arrays were in a linear configuration oriented southeast with 13, 54, 90, and 126 km radial distances and azimuths of 166°, 119°, 113°, and 111° from the 60 1.6 MW turbine Red Mesa Wind Farm, Laguna Pueblo, New Mexico, USA. Peaks at a fundamental frequency slightly below 0.9 Hz and its harmonics characterize the spectrum of the detected infrasound. The generation of this signal is linked to the interaction of the blades, flow gradients, and the supporting tower. The production of wind‐farm sound, its propagation, and detection at long distances can be related to the characteristics of the atmospheric boundary layer. First, under stable conditions, mostly occurring at night, winds are highly stratified, which enhances the production of thickness sound and the modulation of other higher‐frequency wind turbine sounds. Second, nocturnal atmospheric conditions can create low‐altitude waveguides (with altitudes on the order of hundreds of meters) allowing long‐distance propagation. Third, night and early morning hours are characterized by reduced background atmospheric noise that enhances signal detectability. This work describes the characteristics of the infrasound from a quasi‐continuous source with the potential for long‐range propagation that could be used to monitor the lower part of the atmospheric boundary layer.
Omar Marcillo, Philip Blom, Earth and Environmental Science, Los Alamos National Laboratory, Los Alamos, New Mexico
Stephen Arrowsmith, Kyle Jones, Sandia National Laboratories, Albuquerque, New Mexico
Journal of Geophysical Research: Atmosphere, 120, 9855–9868, doi:10.1002/2014JD022821.
Observation and comparison of tower vibration and underwater noise from offshore operational wind turbines in the East China Sea Bridge of Shanghai
Author: Yang, Chun-Mei; Liu, Zong-Wei; Lü, Lian-Gang; et al.
[Abstract] Underwater operational turbine noise emitted by China’s first offshore wind farm in the East China Sea Bridge of Shanghai was measured and analyzed in this study. Two sensors were used in the measurement: a hydrophone recording the underwater sound and an accelerometer placed in the turbine tower detecting the tower vibrations. Measurements were performed at two different types of wind turbines: a Sinovel 3 MW SL3000 turbine and a Shanghai Electric 3.6 MW W3600 turbine. The two turbines show similar tower vibration characteristics, characterized by a number of tonal components, mainly in the low-frequency domain (30-500 Hz). The peak vibration frequencies changed with the wind speed until the turbine approached its nominal power rating. Spectral analysis of the underwater acoustic data showed that the amplitude spectra had a strong correlation with the spectra of the turbine vibration intensity level, indicating that the measured underwater noise was generated by the tower mechanical vibration.
Chun-Mei Yang, Zong-Wei Liu, Lian-Gang Lü, Guang-Bing Yang, Long-Fei Huang, and Ying Jiang
Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, State Oceanic Administration, Qingdao, China
Journal of the Acoustic Society of America 2018 Dec;144(6):EL522. doi: 10.1121/1.5082983.
Author: Nguyen, Duc-Phuc; Hansen, Kristy; and Zajamsek, Branko
[ABSTRACT] In addition to the overall noise level, periodic variations in the loudness of wind turbine noise, known as Amplitude Modulation (AM), also significantly contribute to the annoyance experienced by residents living near wind farms. Due to the high dependence of AM on meteorological conditions and the type of wind turbines, the level and duration of AM are hard to predict. These characteristics have an important impact on the annoyance response of residents. The level of annoyance is expected to depend on the AM depth, the number of AM occurrences and the AM continuity. The aim of this paper is to investigate AM characteristics in the vicinity of two wind farms in South Australia. It has been found that to successfully quantify tonal AM based on the Reference Method proposed by the UK Institute of Acoustics, removing the A-weighting, changing the range of band-pass filter frequency and reducing the prominence ratio are also necessary. AM density at night-time is much higher than at day time (25% versus 15%). However, there is not significant difference between AM depth at night-time and day time. Furthermore, AM is more likely to occur when the wind turbines are operating significantly below their maximum rated power.
Duc-Phuc Nguyen, Kristy Hansen
College of Science and Engineering
Adelaide Institute for Sleep Health
Flinders University, Bedford Park, Adelaide, SA, Australia
Download original document: “Characterizing tonal amplitude modulation of wind farm noise” (22 MB)