Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 23rd International Congress on Acoustics |
| Subtitle of host publication | Integrating 4th EAA Euroregio 2019 |
| Editors | Martin Ochmann, Vorlander Michael, Janina Fels |
| Pages | 3818-3825 |
| Number of pages | 8 |
| ISBN (electronic) | 9783939296157 |
| Publication status | Published - 2019 |
| Event | 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019 - Aachen, Germany Duration: 9 Sept 2019 → 13 Sept 2019 |
Publication series
| Name | Proceedings of the International Congress on Acoustics |
|---|---|
| Volume | 2019-September |
| ISSN (Print) | 2226-7808 |
| ISSN (electronic) | 2415-1599 |
Abstract
As part of the project „WEA-Akzeptanz“an atmospheric sound propagation model is developed to predict the sound immission from a wind turbine. The CNPE (Crank Nicolson Parabolic Equation) method, based on the Helmholz equation is chosen as the sound propagation model. Complex environmental conditions such as atmospheric turbulence can be implemented with a random number generator in this model. Atmospheric turbulence is characterized by temporal fluctuating wind speed and temperature, which has an impact on the sound propagation and leads to scattered sound waves due to the turbulent eddies. Accordingly, the input of the model contains parameter variability. As a result, the sound pressure level at the point of immission also has a high variability and is not entirely deterministic. In this work, the influence of random input variables due to atmospheric turbulence on the uncertainty of the resulting sound pressure level is investigated. Using this, the probability of the predicted sound pressure level can be quantified to get a better idea of sound immission under complex atmospheric conditions.
Keywords
- Atmosphere, Sound Propagation, Uncertainty
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Physics and Astronomy(all)
- Acoustics and Ultrasonics
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Proceedings of the 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio 2019. ed. / Martin Ochmann; Vorlander Michael; Janina Fels. 2019. p. 3818-3825 (Proceedings of the International Congress on Acoustics; Vol. 2019-September).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Prediction of atmospheric sound propagation subject to parameter variability of atmospheric turbulence
AU - Hörmeyer, Jasmin
AU - Hübler, Clemens
AU - Bohne, Tobias
AU - Rolfes, Raimund
N1 - Funding information: The Institute of Structural Analysis is part of the Center for Wind Energy Research For-Wind. Within in the project „WEA-Akzeptanz“, the research at Leibniz University of Hannover is carried out together with the project partner Senvion GmbH and is funded by the Federal Ministry for Economic Affairs and Energy by an act of the German Parliament (project ref. no. 0324134A). The authors gratefully acknowledge the financial support from the research funding organization as well as the great support from the operator of the wind farm and the local citizens. For further information about the project „WEA-Akzeptanz“, please visit the project homepage at www.wea-akzeptanz.uni-hannover.de.
PY - 2019
Y1 - 2019
N2 - As part of the project „WEA-Akzeptanz“an atmospheric sound propagation model is developed to predict the sound immission from a wind turbine. The CNPE (Crank Nicolson Parabolic Equation) method, based on the Helmholz equation is chosen as the sound propagation model. Complex environmental conditions such as atmospheric turbulence can be implemented with a random number generator in this model. Atmospheric turbulence is characterized by temporal fluctuating wind speed and temperature, which has an impact on the sound propagation and leads to scattered sound waves due to the turbulent eddies. Accordingly, the input of the model contains parameter variability. As a result, the sound pressure level at the point of immission also has a high variability and is not entirely deterministic. In this work, the influence of random input variables due to atmospheric turbulence on the uncertainty of the resulting sound pressure level is investigated. Using this, the probability of the predicted sound pressure level can be quantified to get a better idea of sound immission under complex atmospheric conditions.
AB - As part of the project „WEA-Akzeptanz“an atmospheric sound propagation model is developed to predict the sound immission from a wind turbine. The CNPE (Crank Nicolson Parabolic Equation) method, based on the Helmholz equation is chosen as the sound propagation model. Complex environmental conditions such as atmospheric turbulence can be implemented with a random number generator in this model. Atmospheric turbulence is characterized by temporal fluctuating wind speed and temperature, which has an impact on the sound propagation and leads to scattered sound waves due to the turbulent eddies. Accordingly, the input of the model contains parameter variability. As a result, the sound pressure level at the point of immission also has a high variability and is not entirely deterministic. In this work, the influence of random input variables due to atmospheric turbulence on the uncertainty of the resulting sound pressure level is investigated. Using this, the probability of the predicted sound pressure level can be quantified to get a better idea of sound immission under complex atmospheric conditions.
KW - Atmosphere
KW - Sound Propagation
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85099330447&partnerID=8YFLogxK
U2 - 10.18154/RWTH-CONV-239815
DO - 10.18154/RWTH-CONV-239815
M3 - Conference contribution
AN - SCOPUS:85099330447
T3 - Proceedings of the International Congress on Acoustics
SP - 3818
EP - 3825
BT - Proceedings of the 23rd International Congress on Acoustics
A2 - Ochmann, Martin
A2 - Michael, Vorlander
A2 - Fels, Janina
T2 - 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019
Y2 - 9 September 2019 through 13 September 2019
ER -