TY - JOUR

T1 - A new base of wind turbine noise measurement data and its application for a systematic validation of sound propagation models

AU - Könecke, Susanne

AU - Hörmeyer, Jasmin

AU - Bohne, Tobias

AU - Rolfes, Raimund

N1 - Funding Information: This research has been supported by the Bundesministerium für Wirtschaft und Energie (project ref. no. 0324134A).The publication of this article was funded by the open-access fund of Leibniz Universität Hannover. The Institute of Structural Analysis is part of the Center for Wind Energy Research, ForWind. The authors gratefully acknowledge the financial support from the research funding organisation, the provision of meteorological data by the DNV GL (Det Norske Veritas and Germanischer Lloyd), and the great support from the operator of the wind farm, named Bürgerwindpark Janneby eG. For further information about the project, please visit the project home page at https://www.wea-akzeptanz.uni-hannover.de/de/ (last access: 26 April 2023). Lastly, the authors gratefully acknowledge the time and effort of the reviewers. Their valuable comments clearly improved the quality of the paper.

PY - 2023/4/28

Y1 - 2023/4/28

N2 - Extensive measurements in the area of wind turbines were performed in order to validate a sound propagation model which is based on the Crank-Nicolson parabolic equation method. The measurements were carried out over a flat grass-covered landscape and under various environmental conditions. During the measurements, meteorological and wind turbine performance data were acquired and acoustical data sets were recorded at distances of 178, 535 and 845g€¯m from the wind turbine. By processing and analysing the measurement data, validation cases and input parameters for the sound propagation model were derived. The validation includes five groups that are characterised by different sound propagation directions, i.e. downwind, crosswind and upwind conditions in varying strength. In strong upwind situations, the sound pressure levels at larger distances are overestimated because turbulence is not considered in the modelling. In the other directions, the model reproduces the measured sound propagation losses well in the overall sound pressure level and in the third octave band spectra. As in the recorded measurements, frequency-dependent maxima and minima are identified, and losses generally increase with increasing distance and frequency. The agreement between measured and modelled sound propagation losses decreases with distance. The data sets used in the validation are freely accessible for further research.

AB - Extensive measurements in the area of wind turbines were performed in order to validate a sound propagation model which is based on the Crank-Nicolson parabolic equation method. The measurements were carried out over a flat grass-covered landscape and under various environmental conditions. During the measurements, meteorological and wind turbine performance data were acquired and acoustical data sets were recorded at distances of 178, 535 and 845g€¯m from the wind turbine. By processing and analysing the measurement data, validation cases and input parameters for the sound propagation model were derived. The validation includes five groups that are characterised by different sound propagation directions, i.e. downwind, crosswind and upwind conditions in varying strength. In strong upwind situations, the sound pressure levels at larger distances are overestimated because turbulence is not considered in the modelling. In the other directions, the model reproduces the measured sound propagation losses well in the overall sound pressure level and in the third octave band spectra. As in the recorded measurements, frequency-dependent maxima and minima are identified, and losses generally increase with increasing distance and frequency. The agreement between measured and modelled sound propagation losses decreases with distance. The data sets used in the validation are freely accessible for further research.

UR - http://www.scopus.com/inward/record.url?scp=85159348777&partnerID=8YFLogxK

U2 - 10.5194/wes-8-639-2023

DO - 10.5194/wes-8-639-2023

M3 - Article

VL - 8

SP - 639

EP - 659

JO - Wind Energy Science

JF - Wind Energy Science

SN - 2366-7443

IS - 4

ER -