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CAA based noise prediction for wind energy turbines

Appel, Christina (2023) CAA based noise prediction for wind energy turbines. In: AIAA Aviation 2023 Forum. American Institute of Aeronautics and Astronautics. AIAA Aviation Forum 2023, 2023-06-12 - 2023-06-16, San Diego, USA. doi: 10.2514/6.2023-3739.

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Official URL: https://arc.aiaa.org/doi/abs/10.2514/6.2023-3739

Abstract

Within the framework of the International Energy Agency Wind Technology Collaboration Programme (IEA Wind TCP) Task 39 (Quiet Wind Turbine Technology), a benchmark for wind turbine sound prediction was initiated [1]. DLR is involved in this work through the HGF (Helmholtz Association of German Research Centres) -funded projects ViSion (Validation of Simulation Tools for the Description of Wind Turbines) and LAiSA (Lastadaptive & Aeroakustische Analyse). The initial goal is to predict the turbulent trailing edge noise (TBLTEN) and the turbulent inflow noise (TIN) dominating the overall sound radiation for a 2.3 MW NM80 wind turbine and compare it with the results of the codes of the Task 39 participants as well as with measurements that have taken place in the EU project DAN-AERO MW [2]. The outcomes of Task 39 are recently published by Bertagnolio et al. [3]. A process chain, originally developed by Rautmann [4] is used, that breaks down the rotor into individual segments, for each of which 2D CAA (computational aeroacoustics) simulations are then performed. Here this tool chain was picked up and supplemented: The rotation of the rotor, the associated amplitude modulation and the variation of the distance to arbitrary evaluation points for the individual rotor blade sections are taken into account. The individual contributions to TBL-TEN and TIN of each blade segment of the entire rotor are finally summed up and averaged over the rotor revolution. In addition to, for example, the certification position according to IEC-64100-11 standard or arbitrary positions distributed in space can be specified as evaluation positions in order to examine noise signatures.

Item URL in elib:https://elib.dlr.de/200921/
Document Type:Conference or Workshop Item (Speech)
Additional Information:View Video Presentation: https://doi.org/10.2514/6.2023-3739.vid
Title:CAA based noise prediction for wind energy turbines
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Appel, ChristinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2023
Journal or Publication Title:AIAA Aviation 2023 Forum
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.2514/6.2023-3739
Publisher:American Institute of Aeronautics and Astronautics
Status:Published
Keywords:CAA, noise prediction, Windenergy, turbulent inflow noise, DAN-AERO, amplitude modulation, sound pressure level, fluctuating Lamb vector
Event Title:AIAA Aviation Forum 2023
Event Location:San Diego, USA
Event Type:international Conference
Event Start Date:12 June 2023
Event End Date:16 June 2023
Organizer:American Institute of Aeronautics and Astronautics
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:Photovoltaics and Wind Energy
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Wind Energy
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Wind Energy
Deposited By: Stebner, Margrit Elisabeth
Deposited On:14 Dec 2023 12:02
Last Modified:24 Apr 2024 21:01

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