Summary/Assessment of Chris Turnbull of Sonus’ reporting on Bald Hills Wind Farm 15th April, 2022 Via Wind Farm Living Assessment of Chris Turnbull of SonusDownload
Benchmark characterisation and automated detection of wind farmDownload
Long-term quantification and characterisation of wind farm noise amplitudeDownload
Study finds ‘swoosh’ sound a possible concern 18th August, 2021 Source: Flinders University With wind generation one of the fastest-growing renewable energy sectors in the world, Flinders University experts are using machine learning and other signal processing techniques to characterise annoying noise features from wind farms. Two new publications from the ongoing Wind Farm Noise … Continue reading Wind Turbine Night Noise
AAAC Wind Farm Position StatementDownload
'I suggest that with respect to the description of wind turbine noise it is a matter of terminology that needs a shift as follows:
The language should be pulsations at an infrasound rate.
Modulation of the entire signal at an infrasound rate. (Zwicker and Fastl call this fluctuation as a sensation detected by the ear).
AM is present as some discrete low frequencies modulated at the bpf.
UK method of AM is determining the modulation index of the fluctuating signal (not technically AM).
You can determine the Modulation Index of the low frequency noise that is AM.' -Steven Cooper.
Source: Posted on June 19, 2019 by newsdesk Photo: stock image. Flinders University researchers are investigating the effects on human sleep of noise emissions from wind farm turbines. Audible and potentially annoying indoor low-frequency noise from a wind farm is present for about 16% of the time at distances up to 3.5km, field data recorded in South Australia … Continue reading Wind Farm Noise Recorded Almost 9km Away