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Error Assessment of Blade Deformation Measurements on a Multi-Megawatt Wind Turbine Based on Digital Image Correlation

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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  • Jan Winstroth
  • Joerg R. Seume
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OriginalspracheEnglisch
Titel des SammelwerksOil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy
Herausgeber (Verlag)American Society of Mechanical Engineers(ASME)
ISBN (elektronisch)9780791856802
PublikationsstatusVeröffentlicht - 12 Aug. 2015
VeranstaltungASME Turbo Expo 2015: Turbine Technical Conference and Exposition, GT 2015 - Montreal, Kanada
Dauer: 15 Juni 201519 Juni 2015

Publikationsreihe

NameProceedings of the ASME Turbo Expo
Band9

Abstract

Optical full-field measurement methods such as Digital Image Correlation (DIC) provide a new opportunity for measuring deformation and vibration in wind turbine rotor blades during operation, in high spatial and temporal resolution. Recent field tests on a multi-megawatt wind turbine have demonstrated the vast potential for full scale testing, however little is known about the overall accuracy of DIC measurements on wind turbines. The present work proposes using a virtual 3D wind turbine model for estimating the error associated with the optical measurements. The entire setup is simulated a priori and accurate error estimation becomes possible. The error estimation for a 3.2 MW wind turbine suggests that relative out-of-plane bending of the rotor blades can be measured with an accuracy of ±9:1 mm, relative in-plane bending of the rotor blades can be measured with an accuracy of ±10:2 mm, and relative blade torsion can be measured with an accuracy of ±0:07 deg. This corresponds to a relative error of 0.46% for out-of-plane bending, 1.11% for in-plane bending and 5.46% for blade torsion.

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Error Assessment of Blade Deformation Measurements on a Multi-Megawatt Wind Turbine Based on Digital Image Correlation. / Winstroth, Jan; Seume, Joerg R.
Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy. American Society of Mechanical Engineers(ASME), 2015. (Proceedings of the ASME Turbo Expo; Band 9).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Winstroth, J & Seume, JR 2015, Error Assessment of Blade Deformation Measurements on a Multi-Megawatt Wind Turbine Based on Digital Image Correlation. in Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy. Proceedings of the ASME Turbo Expo, Bd. 9, American Society of Mechanical Engineers(ASME), ASME Turbo Expo 2015: Turbine Technical Conference and Exposition, GT 2015, Montreal, Kanada, 15 Juni 2015. https://doi.org/10.1115/gt2015-43622
Winstroth, J., & Seume, J. R. (2015). Error Assessment of Blade Deformation Measurements on a Multi-Megawatt Wind Turbine Based on Digital Image Correlation. In Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy (Proceedings of the ASME Turbo Expo; Band 9). American Society of Mechanical Engineers(ASME). https://doi.org/10.1115/gt2015-43622
Winstroth J, Seume JR. Error Assessment of Blade Deformation Measurements on a Multi-Megawatt Wind Turbine Based on Digital Image Correlation. in Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy. American Society of Mechanical Engineers(ASME). 2015. (Proceedings of the ASME Turbo Expo). doi: 10.1115/gt2015-43622
Winstroth, Jan ; Seume, Joerg R. / Error Assessment of Blade Deformation Measurements on a Multi-Megawatt Wind Turbine Based on Digital Image Correlation. Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy. American Society of Mechanical Engineers(ASME), 2015. (Proceedings of the ASME Turbo Expo).
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abstract = "Optical full-field measurement methods such as Digital Image Correlation (DIC) provide a new opportunity for measuring deformation and vibration in wind turbine rotor blades during operation, in high spatial and temporal resolution. Recent field tests on a multi-megawatt wind turbine have demonstrated the vast potential for full scale testing, however little is known about the overall accuracy of DIC measurements on wind turbines. The present work proposes using a virtual 3D wind turbine model for estimating the error associated with the optical measurements. The entire setup is simulated a priori and accurate error estimation becomes possible. The error estimation for a 3.2 MW wind turbine suggests that relative out-of-plane bending of the rotor blades can be measured with an accuracy of ±9:1 mm, relative in-plane bending of the rotor blades can be measured with an accuracy of ±10:2 mm, and relative blade torsion can be measured with an accuracy of ±0:07 deg. This corresponds to a relative error of 0.46% for out-of-plane bending, 1.11% for in-plane bending and 5.46% for blade torsion.",
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Download

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AU - Seume, Joerg R.

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