Full-scale deformation measurements of a wind turbine rotor in comparison with aeroelastic simulations

Download statistics - Document (COUNTER):

Lehnhoff, S.; González, A.G.; Seume, J.R.: Full-scale deformation measurements of a wind turbine rotor in comparison with aeroelastic simulations. In: Wind Energy Science 5 (2020), Nr. 4, S. 1411-1423. DOI: https://doi.org/10.5194/wes-5-1411-2020

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10780

Selected time period:

year: 
month: 

Sum total of downloads: 127




Thumbnail
Abstract: 
The measurement of deformation and vibration of wind turbine rotor blades in field tests is a substantial part of the validation of aeroelastic codes. This becomes highly important for modern rotors as the rotor size increases, which comes along with structural changes, resulting in very high flexibility and coupling between different vibration modes. However, performing full-scale field measurements for rotor blade deformation is not trivial and requires high temporal and spatial resolution. A promising deformation measurement technique is based on an optical method called digital image correlation (DIC). Recently, DIC measurements on a Siemens Gamesa SWT-4.0-130 test turbine were performed on the tip of all blades in combination with marker tracking at the hub for the first time with synchronised measurement of the inflow conditions by a ground-based lidar. As the turbine was additionally equipped with strain gauges in the blade root of all blades, the DIC results can be directly compared to the actual prevailing loads to validate the measurement method. In the end, an example for a comparison of the measured deformations and torsion with aeroelastic simulations is shown in the time and frequency domain. All in all, DIC shows very good agreement with comparative measurements and simulations, which shows that it is a suitable method for measurement of deformation and torsion of multi-megawatt wind turbine rotor blades. © 2020 Author(s).
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Fakultät für Maschinenbau

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 71 55.91%
2 image of flag of United States United States 20 15.75%
3 image of flag of China China 20 15.75%
4 image of flag of Tanzania, United Republic of Tanzania, United Republic of 3 2.36%
5 image of flag of No geo information available No geo information available 2 1.57%
6 image of flag of Indonesia Indonesia 2 1.57%
7 image of flag of Vietnam Vietnam 1 0.79%
8 image of flag of Taiwan Taiwan 1 0.79%
9 image of flag of Israel Israel 1 0.79%
10 image of flag of Australia Australia 1 0.79%
    other countries 5 3.94%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse