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Documents presented here are not the product of nor are they necessarily endorsed by National Wind Watch. These resource documents are provided 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.


Date added:  May 28, 2013
Australia, NoisePrint storyE-mail story

Letter to Victoria Dept. of Health re: acoustics of wind turbine noise

Author:  Hansen, Colin

The reason I felt compelled to write to you is that I have a number of concerns about the accuracy of some of the statements made in your document, “Wind farms, sound and health: Technical information”. By way of introduction, I have been researching, consulting and teaching acoustics and noise control for more than 40 years and have published numerous papers as well as 10 books on the subject.

I find that chapters 1 to 3 contain information that lay people will find very useful. However, later chapters contain statements that conflict with current knowledge in the field and could mislead the public into believing things that are simply not true. I have listed the problem statements below and I sincerely hope that these can be fixed before this document is too widely circulated.

1. The A-weighting network, discussed on page 7 may have been designed to approximate the response of the human ear, but it is a very poor approximation, especially at low frequencies. It is well known that low frequency sound is much more annoying and disturbing to most people than the A-weighted measurement would indicate, especially in the absence of any significant mid- and high-frequency sound. This should be pointed out in the document on page 7.

2. On page 8, the document states that the LA90 or the L90 descriptor is used to measure wind farm noise without any qualification at all. It is well known that sound levels produced by a wind farm can fluctuate significantly and that a descriptor that represents a level exceeded 90% of the time will miss the 90% of the time when the wind farm noise fluctuates above the 90% level, and thus will be a gross underestimate of peak noise levels which define the annoyance value of the sound. The level of fluctuation becomes more noticeable and annoying as the distance from the wind farm increases and energy becomes more low-frequency in nature. The best way to distinguish wind farm noise from other environmental noise is to take noise measurements on a number of occasions with the wind farm turned off and then running immediately afterwards.

3. On pages 9 and 10, the document discusses hearing thresholds for low frequency sound and suggests that wind farm infrasound is well below what people could detect. However, it should be pointed out that the hearing thresholds are for steady, single frequency sound in the absence of any other sound. There are two problems with this approach. Hearing thresholds are known to be much lower for fluctuating (or modulating) sound and also when there are many harmonics present at the same time as the fundamental. If we add on to this that wind farm low frequency and infrasound noise measurements that have been taken by a number of people are only Leq or L90 values and do not reflect the peak noise levels which could be 10 to 15 dB higher than the L90 levels, it is possible to get to the point where wind farm low frequency noise and possibly infrasound could be detectable by a significant number of people at distances up to 5 to 10 km from the wind farm, depending on the meteorological conditions.

4. On page 11 the document implies that computer models for predicting wind farm noise can be relied upon to give accurate results. None of the models used for predicting noise take into account the likely increase in turbine noise levels when they are operating in a turbulent atmosphere or in the wake of other turbines. Neither do the models take into account the possible focussing of low frequency sound under stable atmospheric or downwind conditions that can result in much greater noise levels than predicted.

5. The recent study on infrasound mentioned on page 11 had problems with inaccuracies associated with the instrumentation at low frequencies and the use of 1/3 octave filters which completely missed the peak fluctuations in the infrasound. Another problem was the reporting of only dBG results, which not everyone agrees reflects the perception of infrasound. Thus the statement on page 12 that “In conclusion, there is overwhelming evidence that infrasound from wind farms is at levels which are too low to be audible, and no higher than background levels in the environment”, is not true. My research group is currently undertaking noise and vibration measurements at residences affected by the Waterloo wind farm and it can clearly be seen that there exist noise levels at blade passing harmonics that are well in excess of background noise levels. We are also measuring significant levels of impulsive low-frequency sound several kilometres from the wind farm and this can be quite annoying to some people when they are trying to sleep. We intend to publish these results in the not too distant future.

6. The first statement in the conclusions, “the predominant sounds produced by wind farms are in the mid to high frequencies” is misleading. This may be true close to the turbines but at distances that most affected residents live, especially at night during stable weather conditions, it is the low frequency sound that people find disturbing and which is responsible for preventing them from obtaining a good night’s sleep, which in turn can possibly have adverse health effects.

May 23, 2013

Colin H. Hansen
Emeritus Professor
School of Mechanical Engineering
Faculty of Engineering, Computer & Mathematical Sciences
University of Adelaide

Download original document: “Letter to Victoria Dept. of Health re: acoustics of wind turbine noise”

Also see:  “Letter to Victoria Dept. of Health re: physiologic effects of inaudible sound”

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Date added:  May 24, 2013
Environment, Regulations, WashingtonPrint storyE-mail story

Reply Brief to Whistling Ridge Application

Author:  Friends of the Columbia Gorge and Save Our Scenic Area

REPLY TO STATEMENTS OF THE CASE

The Applicant argues that it “stipulated that no more than 38 turbines would be constructed” as part of the Project. WRE Br. at 5. This is incorrect, because the Applicant never proposed a 38-turbine project in compliance with EFSEC’s mandatory procedures. Instead, the proposal reviewed below was the 50-turbine proposal in the Application.

The Applicant, citing a letter written by its company president, Jason Spadaro, asserts that it “conducted more . . . wildlife surveys than any other previously proposed project.” WRE Br. at 4 (citing AR 15791). Mr. Spadaro’s self-serving and unsupported statement is patently incorrect. The Applicant did not even comply with the bare minimum requirements of the WDFW Wind Power Guidelines and EFSEC’s rules (see infra Part III.B)—let alone conduct more surveys than other projects.

The Counties make several statements about the economics of Skamania County. Counties Br. at 1–6, 15, 27. The Supreme Court should disregard these statements, which the Counties do not even attempt to tie to any applicable statute or rule, and which have no bearing on the issues presented in this appeal and no relevance to the applicable law.

Finally, State Respondents argue incorrectly that Petitioners “conceded” that they do not seek a reversal of the decisions. State Br. at 9. To clarify, Petitioners seek both reversal and remand of the decisions listed at pages 3 and 4 of the Opening Brief. However, Petitioners do not challenge State Respondents’ authority to regulate and approve wind energy projects, in contrast to the arguments made in the “ROKT” case. See Residents Opposed to Kittitas Turbines v. State EFSEC, 165 Wn. 2d 275, 305–11, 197 P.3d 1153 (2008). …

CONCLUSION

Because EFSEC failed to resolve numerous important issues that were contested below, and also violated and ignored multiple statutory and regulatory requirements in the course of its review, the Project’s true impacts were never evaluated and the decision to approve the Project was uninformed. The Court should reverse and remand for further review.

Download original document: “Whistling Ridge Petitioners Reply Brief”

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Date added:  May 23, 2013
Grid, Technology, U.S.Print storyE-mail story

U.S. wind capacity factors – 2011

Source:  Form EIA-923, all wind energy facilities that submitted annual reports for ALL of 2011.

Click here to download consolidated and optimized Excel spreadsheet of data for the 576 reporting facilities.


0.160 NJ
0.177 MA
0.206 VT
0.222 AZ
0.222 RI
0.225 TN
0.228 OH
0.237 UT
0.238 NY
0.254 CA
0.254 OR
0.262 WV
0.266 MI
0.273 PA
0.275 DE
0.276 ME
0.280 IN
0.286 WI
0.293 MO
0.296 IL
0.301 WA
0.303 CO
0.314 NH
0.316 AK
0.322 ID
0.324 MD
0.326 IA
0.338 MN
0.341 NM
0.342 TX
0.371 WY
0.376 MT
0.381 NE
0.386 ND
0.391 SD
0.393 KS
0.409 OK
0.522 HI

0.320 US TOTAL

  Northeast
New England
MA 0.177
ME 0.276
NH 0.314
RI 0.222
VT 0.206

Middle Atlantic

NJ 0.160
NY 0.238
PA 0.273

South

South Atlantic
DE 0.275
MD 0.324
WV 0.262

East South Central

TN 0.225

West South Central

OK 0.409
TX 0.342

Midwest

East North Central
IL 0.296
IN 0.280
MI 0.266
OH 0.228
WI 0.286

West North Central

IA 0.326
KS 0.393
MN 0.338
MO 0.293
ND 0.386
NE 0.381
SD 0.391

West

Mountain
AZ 0.222
CO 0.303
ID 0.322
MT 0.376
NM 0.341
UT 0.237
WY 0.371

Pacific

AK 0.316
CA 0.254
HI 0.522
OR 0.254
WA 0.301

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Date added:  May 22, 2013
Grid, Technology, U.S.Print storyE-mail story

U.S. wind capacity factors – 2012 (preliminary)

Author:  U.S. Energy Information Administration

Source:  Form EIA-923, all wind energy facilities that submitted monthly reports for ALL of 2012.

Click here to download consolidated and optimized Excel spreadsheet of data for the 341 reporting facilities.


0.201 TN
0.202 AZ
0.231 VT
0.236 NY
0.239 WV
0.242 OH
0.243 ME
0.248 UT
0.249 CA
0.249 PA
0.259 OR
0.269 IN
0.271 WA
0.280 WI
0.294 IL
0.298 MD
0.311 MO
0.324 MI
0.330 HI
0.333 NM
0.337 CO
0.337 MN
0.337 TX
0.338 MT
0.341 ID
0.343 IA
0.352 WY
0.358 KS
0.389 ND
0.414 OK
0.428 NE
0.429 SD

0.318 US TOTAL

  Northeast
New England
ME 0.243
VT 0.231

Middle Atlantic

NY 0.236
PA 0.249

South

South Atlantic
MD 0.298
WV 0.239

East South Central

TN 0.201

West South Central

OK 0.414
TX 0.337

Midwest

East North Central
IL 0.294
IN 0.269
MI 0.324
OH 0.242
WI 0.280

West North Central

IA 0.343
KS 0.358
MN 0.337
MO 0.311
ND 0.389
NE 0.428
SD 0.429

West

Mountain
AZ 0.202
CO 0.337
ID 0.341
MT 0.338
NM 0.333
UT 0.248
WY 0.352

Pacific

CA 0.249
HI 0.330
OR 0.259
WA 0.271

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