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Resource Documents: Australia (142 items)

RSSAustralia

Unless indicated otherwise, documents presented here are not the product of nor are they necessarily endorsed by National Wind Watch. These resource documents are shared here to assist anyone wishing to research the issue of industrial wind power and the impacts of its development. The information should be evaluated by each reader to come to their own conclusions about the many areas of debate. • The copyrights reside with the sources indicated. As part of its noncommercial effort to present the environmental, social, scientific, and economic issues of large-scale wind power development to a global audience seeking such information, National Wind Watch endeavors to observe “fair use” as provided for in section 107 of U.S. Copyright Law and similar “fair dealing” provisions of the copyright laws of other nations.


Date added:  June 22, 2019
Australia, Noise, RegulationsPrint storyE-mail story

Wind turbine sound limits: Current status and recommendations based on mitigating noise annoyance

Author:  Davy, John; Burgemeister, Kym; and Hillman, David

Abstract:
This paper describes existing wind turbine sound limits in Australian states and several other countries with similar constraints, how these were established and a method that could facilitate their harmonisation. Most existing limits appear to have been adopted to avoid sleep disturbance using data derived from sound sources other than wind turbines. This seems to have been a reasonable approach at the time of their adoption because of the paucity of other suitable data. More recently the concept of “annoyance” has been used to encapsulate negative reactions to wind turbine sound. Many studies have now demonstrated a significant relationship between annoyance and wind turbine sound level, whether or not sound was the major source of the annoyance. Thus there is a logical basis for now deriving a wind turbine sound limit based on limiting annoyance. This paper describes such an approach. The derived limit is compared to existing Australian and international limits. Its value lies within the range of these other limits. It provides a method for harmonisation of future limits based on direct assessments of human response to wind turbine sound.

John L. Davy, Royal Melbourne Institute of Technology (RMIT) University, Victoria, Australia
Kym Burgemeister, Arup Acoustics, East Melbourne, Victoria, Australia
David Hillman, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia

Applied Acoustics
Volume 140, November 2018, Pages 288-295
doi: 10.1016/j.apacoust.2018.06.009

Fig. 1. The percentage of highly annoyed people as a function the outdoor wind turbine sound level exceeded for ninety percent of the time in a 10 min period. The sound pressure levels have been converted to LA90(10min) from their original values.

Fig. 2. The percentage of highly annoyed people according to the Community Tolerance Level model as a function the outdoor wind turbine sound level exceeded for ninety percent of the time in a 10 min period. The sound pressure levels have been converted to LA90(10min) from their original values.

Fig. 3. The percentage of highly annoyed people as a function the outdoor wind turbine sound level exceeded for ninety percent of the time in a 10 min period. The sound pressure levels have been converted to LA90(10min) from their original values.

Our analysis derives a maximum sound level limit for wind turbine sound based on permitting no more than 10% of the population to be highly annoyed when exposed to wind turbine sound at the maximum sound level limit. Such a 10% threshold is commonly used when setting hearing protection noise limits, and is similar to the 8% used when setting the Dutch wind turbine sound limits. Thus Fig. 3 and Eq. (2) suggest that the mean limit for wind turbine sound should be an LA90(10min) of 35 dBA.

Fig. 4. The percentage of highly annoyed people indoors and outdoors as a function the outdoor wind turbine sound level LA90(10min). The Canadian curves are based on survey data from Ontario and Prince Edward Island provinces. The European curves are based on Dutch and Swedish survey data. The original Lden and LAeq levels have been converted to LA90(10min).

Table 1. Wind Turbine Sound Limits.

Standard Quantity Area Time Background LA90(10min) Limit
ETSU-R-97
England
LA90(10min) No financial Involvement Day ≤30 to 35 dB 35 to 40 dB
ETSU-R-97
England
LA90(10min) No financial Involvement Day >30 to 35 dB BKGND + 5 dB
ETSU-R-97
England
LA90(10min) No financial Involvement Night ≤38 dB 43 dB
ETSU-R-97
England
LA90(10min) No financial Involvement Night >38 dB BKGND + 5 dB
ETSU-R-97
England
LA90(10min) Financial Involvement Any ≤40 dB 45 dB
ETSU-R-97
England
LA90(10min) Financial Involvement Any >40 dB BKGND + 5 dB
VIC NZS 6808:1998 LA95(10min) Any Any ≤35 dB(LA95) 40 dB
VIC NZS 6808:1998 LA95(10min) Any Any >35 dB(LA95) BKGND + 5 dB
SA EPA 2003 LAeq(10min) Prediction LA90(10min) Measurement Any Any ≤30 dB 35 dB
SA EPA 2003 LAeq(10min) Prediction LA90(10min) Measurement Any Any >30 dB BKGND + 5 dB
WA 2004 LAeq(10min) Any Any ≤30 dB 35 dB
WA 2004 LAeq(10min) Any Any >30 dB BKGND + 5 dB
SA EPA 2009 LAeq(10min) Prediction LA90(10min) Measurement Standard Any ≤35 dB 40 dB
SA EPA 2009 LAeq(10min) Prediction LA90(10min) Measurement Standard Any >35 dB BKGND + 5 dB
SA EPA 2009 LAeq(10min) Prediction LA90(10min) Measurement Rural Living Any ≤30 dB 35 dB
SA EPA 2009 LAeq(10min) Prediction LA90(10min) Measurement Rural Living Any >30 dB BKGND + 5 dB
VIC NZS 6808:2010 LA90(10min) Standard Any ≤35 dB 40 dB
VIC NZS 6808:2010 LA90(10min) Standard Any >35 dB BKGND + 5 dB
VIC NZS 6808:2010 LA90(10min) High Amenity Day ≤35 dB 40 dB
VIC NZS 6808:2010 LA90(10min) High Amenity Day >35 dB BKGND + 5 dB
VIC NZS 6808:2010 LA90(10min) High Amenity Evening or Night less than 6 m/s ≤30 dB 35 dB
VIC NZS 6808:2010 LA90(10min) High Amenity Evening or Night less than 6 m/s >30 dB BKGND + 5 dB
NSW Draft 2011 LAeq(10min) LA90(10min) + 1.5 dB Any Day ≤30 dB 35 dB
NSW Draft 2011 LAeq(10min) LA90(10min) + 1.5 dB Any Day >30 dB BKGND + 5 dB
NSW Draft 2011 LAeq(10min) LA90(10min) + 1.5 dB Any Night ≤30 dB 35 dB
NSW Draft 2011 LAeq(10min) LA90(10min) + 1.5 dB Any Night >30 dB BKGND + 5 dB
QLD 2016 LAeq Prediction Non-host lot Day and Evening ≤32 dB 37 dB
QLD 2016 LAeq Prediction Non-host lot Day and Evening >32 dB BKGND + 5 dB
QLD 2016 LAeq Prediction Non-host lot Night ≤30 dB 35 dB
QLD 2016 LAeq Prediction Non-host lot Night >30 dB BKGND + 5 dB
QLD 2016 LAeq Prediction Host lot Any ≤40 dB 45 dB
QLD 2016 LAeq Prediction Host lot Any >40 dB BKGND + 5 dB
Demark LAeq, 8 m/s@10 m Standard Any Any 44 dB
Demark LAeq, 6 m/s@10 m Standard Any Any 42 dB
Demark LAeq, 8 m/s@10 m Noise Sensitive Any Any 39 dB
Demark LAeq, 6 m/s@10 m Noise Sensitive Any Any 37 dB
Canada, Ontario LAeq (1hr) Urban Any ≤38 dB RefBG 45 dB
Canada, Ontario LAeq (1hr) Urban Any >38 dB RefBG RefBG + 7 dB
Canada, Ontario LAeq (1hr) Rural Any ≤33 dB RefBG 40 dB
Canada, Ontario LAeq (1hr) Rural Any >33 dB RefBG RefBG + 7 dB
Sweden LAeq, 8 m/s@10 m Standard Any Any 40 dB
Sweden LAeq, 8 m/s@10 m Quiet Any Any 35 dB
Netherlands LAden Any Any Any 47 dB
Netherlands LAeq Any Night Any 41 dB

Download original document: “Wind turbine sound limits: Current status and recommendations based on mitigating noise annoyance

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Date added:  June 18, 2019
Australia, NoisePrint storyE-mail story

Prevalence of wind farm amplitude modulation at long-range residential locations

Author:  Hansen, Kristy; Nguyen, Phuc; Zajamšek, Branko; Catcheside, Peter; and Hansen, Colin

Abstract:
The presence of amplitude modulation (AM) in wind farm noise has been shown to result in increased annoyance. Therefore, it is important to determine how often this characteristic is present at residential locations near a wind farm. This study investigates the prevalence and characteristics of wind farm AM at 9 different residences located near a South Australian wind farm that has been the subject of complaints from local residents. It is shown that an audible indoor low-frequency tone was amplitude modulated at the blade-pass frequency for 20% of the time up to a distance of 2.4 km. The audible AM occurred for a similar percentage of time between wind farm percentage power capacities of 40% and 85%, indicating that it is important that AM analysis is not restricted to high power output conditions only. Although the number of AM events is shown to reduce with distance, audible indoor AM still occurred for 16% of the time at a distance of 3.5 km. At distances of 7.6 and 8.8 km, audible AM was only detected on one occasion. At night-time, audible AM occurred indoors at residences located as far as 3.5 km from the wind farm for up to 22% of the time.

Kristy L. Hansen, Phuc Nguyen, College of Science and Engineering, Flinders University, Tonsley, Australia
Branko Zajamšek, Peter Catcheside, College of Medicine, Flinders University, Bedford Park, Australia
Colin H. Hansen, School of Mechanical Engineering, The University of Adelaide, Adelaide, Australia

Journal of Sound and Vibration
Volume 455, 1 September 2019, Pages 136-149
doi: 10.1016/j.jsv.2019.05.008

Download original document: “Prevalence of wind farm amplitude modulation at long-range residential locations

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Date added:  December 28, 2018
Australia, NoisePrint storyE-mail story

Characterizing tonal amplitude modulation of wind farm noise

Author:  Nguyen, Phuc; Hansen, Kristy; and Zajamšek, 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
Branko Zajamsek
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)

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Date added:  December 1, 2018
Australia, EnvironmentPrint storyE-mail story

Severe localised grain production losses from atypical frosts in the Marrabel Valley Catchment 2011–2014

Author:  Faint, John; and Morris, Mary

For the four cropping seasons from 2011- 2014, a majority of farmers in the Marrabel Valley have experienced unprecedented and widespread frost damage of grain crops on sloping paddocks high above the valley floor. Historically these areas have not been affected by frost as the steep slope of the valley sides ensures that cold air flows towards the lower lying areas where it is normal for frost to form.

The onset of these seasons of atypical and the abnormal frosts and frost damage coincides with the commencement of operation of an 18 km long wind farm which is located on a central ridgeline in the clearly defined catchment area. Four contiguous years of significant production losses have prompted this call for an investigation into whether the wind farm is affecting the near surface meteorology of the Marrabel Catchment. This Catchment covers 21,392 hectares and contains some of the most highly productive and high value cropping land in South Australia, consequently further investigation is justified.

[Submitted to the South Australian Grains Industry Trust (SAGIT), February 2015, as part of a researchapplication, which was not funded. Atypical frosts have continued to occur with millions of dollars worth of damage every year.]

Download original document: “Severe localised grain production losses from atypical frosts in the Marrabel Valley Catchment 2011–2014

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