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

Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/200921/
Dokumentart:Konferenzbeitrag (Vortrag)
Zusätzliche Informationen:View Video Presentation: https://doi.org/10.2514/6.2023-3739.vid
Titel:CAA based noise prediction for wind energy turbines
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Appel, Christinachristina.appel (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2023
Erschienen in:AIAA Aviation 2023 Forum
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
DOI:10.2514/6.2023-3739
Verlag:American Institute of Aeronautics and Astronautics
Status:veröffentlicht
Stichwörter:CAA, noise prediction, Windenergy, turbulent inflow noise, DAN-AERO, amplitude modulation, sound pressure level, fluctuating Lamb vector
Veranstaltungstitel:AIAA Aviation Forum 2023
Veranstaltungsort:San Diego, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:12 Juni 2023
Veranstaltungsende:16 Juni 2023
Veranstalter :American Institute of Aeronautics and Astronautics
HGF - Forschungsbereich:Energie
HGF - Programm:Materialien und Technologien für die Energiewende
HGF - Programmthema:Photovoltaik und Windenergie
DLR - Schwerpunkt:Energie
DLR - Forschungsgebiet:E SW - Solar- und Windenergie
DLR - Teilgebiet (Projekt, Vorhaben):E - Windenergie
Standort: Braunschweig
Institute & Einrichtungen:Institut für Aerodynamik und Strömungstechnik > Windenergie
Hinterlegt von: Stebner, Margrit Elisabeth
Hinterlegt am:14 Dez 2023 12:02
Letzte Änderung:24 Apr 2024 21:01

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