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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Jan Winstroth
  • Joerg R. Seume

Details

Original languageEnglish
Title of host publicationOil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy
PublisherAmerican Society of Mechanical Engineers(ASME)
ISBN (electronic)9780791856802
Publication statusPublished - 12 Aug 2015
EventASME Turbo Expo 2015: Turbine Technical Conference and Exposition, GT 2015 - Montreal, Canada
Duration: 15 Jun 201519 Jun 2015

Publication series

NameProceedings of the ASME Turbo Expo
Volume9

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.

ASJC Scopus subject areas

Cite this

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; Vol. 9).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer 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, vol. 9, American Society of Mechanical Engineers(ASME), ASME Turbo Expo 2015: Turbine Technical Conference and Exposition, GT 2015, Montreal, Canada, 15 Jun 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; Vol. 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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