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Assessment of low-frequency noise from wind turbines under different weather conditions
BACKGROUND: Low-frequency (20–200 Hz) noise (LFN) from wind turbines has received much public attention due to potential health concerns. This work tries to estimate the sound power level of wind turbines (L(W,A) (dB)) at 20–200 Hz, which are not provided by manufacturers but essential for estimatin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721757/ https://www.ncbi.nlm.nih.gov/pubmed/33312579 http://dx.doi.org/10.1007/s40201-020-00478-9 |
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author | Chiu, Chun-Hsiang Lung, Shih-Chun Candice |
author_facet | Chiu, Chun-Hsiang Lung, Shih-Chun Candice |
author_sort | Chiu, Chun-Hsiang |
collection | PubMed |
description | BACKGROUND: Low-frequency (20–200 Hz) noise (LFN) from wind turbines has received much public attention due to potential health concerns. This work tries to estimate the sound power level of wind turbines (L(W,A) (dB)) at 20–200 Hz, which are not provided by manufacturers but essential for estimating LFN exposure (L(Aeq)) of nearby residents. METHODS: L(W,A) at 20–200 Hz at three wind farms, each with a different brand of wind turbine (Brands A, B and C, respectively) were estimated using propagation model ISO 9613-2 under different weather conditions (rain, wind speed and wind direction) and validated with LFN monitoring data. The feasibility of using validated L(W,A) as inputs for ISO 9613-2 to simulate residents’ exposure (L(Aeq)) to LFN were assessed considering interferences from rain, wind speed and wind directions. RESULTS: The average L(W,A) at 20–200 Hz ranged between 93.2 and 100.4 dB, 97.8 and 107.2 dB, and 96.5 and 110.4 dB for turbines of Brands A, B, and C, respectively, operating under wind speeds from 2 to 12 m/s. The L(W,A) at wind speed of 2–8 m/s increased on average by 1.4, 1.9 and 1.7 dB per 1 m/s increase for Brands A, B and C, respectively. The differences in modeled L(eq) obtained through the input of L(W,A) into the ISO 9613-2 model and the measured L(Aeq) for the three studied wind farms all fall within 1.5 dB. CONCLUSION: This study successfully determined and validated the L(W,A) of wind turbines of three brands, and subsequent residents’ LFN exposure (with 1.5 dB difference) at three wind farms. Accurately obtaining LFN exposure will serve as the basis for assessing LFN exposure-health relationship. As wind power widely use worldwide, health impact should be assessed based on validated LFN exposure assessment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40201-020-00478-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7721757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-77217572020-12-11 Assessment of low-frequency noise from wind turbines under different weather conditions Chiu, Chun-Hsiang Lung, Shih-Chun Candice J Environ Health Sci Eng Research Article BACKGROUND: Low-frequency (20–200 Hz) noise (LFN) from wind turbines has received much public attention due to potential health concerns. This work tries to estimate the sound power level of wind turbines (L(W,A) (dB)) at 20–200 Hz, which are not provided by manufacturers but essential for estimating LFN exposure (L(Aeq)) of nearby residents. METHODS: L(W,A) at 20–200 Hz at three wind farms, each with a different brand of wind turbine (Brands A, B and C, respectively) were estimated using propagation model ISO 9613-2 under different weather conditions (rain, wind speed and wind direction) and validated with LFN monitoring data. The feasibility of using validated L(W,A) as inputs for ISO 9613-2 to simulate residents’ exposure (L(Aeq)) to LFN were assessed considering interferences from rain, wind speed and wind directions. RESULTS: The average L(W,A) at 20–200 Hz ranged between 93.2 and 100.4 dB, 97.8 and 107.2 dB, and 96.5 and 110.4 dB for turbines of Brands A, B, and C, respectively, operating under wind speeds from 2 to 12 m/s. The L(W,A) at wind speed of 2–8 m/s increased on average by 1.4, 1.9 and 1.7 dB per 1 m/s increase for Brands A, B and C, respectively. The differences in modeled L(eq) obtained through the input of L(W,A) into the ISO 9613-2 model and the measured L(Aeq) for the three studied wind farms all fall within 1.5 dB. CONCLUSION: This study successfully determined and validated the L(W,A) of wind turbines of three brands, and subsequent residents’ LFN exposure (with 1.5 dB difference) at three wind farms. Accurately obtaining LFN exposure will serve as the basis for assessing LFN exposure-health relationship. As wind power widely use worldwide, health impact should be assessed based on validated LFN exposure assessment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40201-020-00478-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-05-21 /pmc/articles/PMC7721757/ /pubmed/33312579 http://dx.doi.org/10.1007/s40201-020-00478-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Chiu, Chun-Hsiang Lung, Shih-Chun Candice Assessment of low-frequency noise from wind turbines under different weather conditions |
title | Assessment of low-frequency noise from wind turbines under different weather conditions |
title_full | Assessment of low-frequency noise from wind turbines under different weather conditions |
title_fullStr | Assessment of low-frequency noise from wind turbines under different weather conditions |
title_full_unstemmed | Assessment of low-frequency noise from wind turbines under different weather conditions |
title_short | Assessment of low-frequency noise from wind turbines under different weather conditions |
title_sort | assessment of low-frequency noise from wind turbines under different weather conditions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721757/ https://www.ncbi.nlm.nih.gov/pubmed/33312579 http://dx.doi.org/10.1007/s40201-020-00478-9 |
work_keys_str_mv | AT chiuchunhsiang assessmentoflowfrequencynoisefromwindturbinesunderdifferentweatherconditions AT lungshihchuncandice assessmentoflowfrequencynoisefromwindturbinesunderdifferentweatherconditions |