Wind turbine blade surfaces degrade over time leading to reduced Annual Energy Production and increased cost of energy. This project will develop techniques for performing in-situ, quantitative measurements of leading edge surface roughness, and methods for converting these measurements into a quantitative decision tool for turbine owners O&M plans


The leading edges of wind turbine blades erode due to colliding with dust and rain droplets at speeds in excess of 300 km/h. This erosion causes reduced aerodynamic performance and hence reduced energy production. Currently, the degree of erosion is visually inspected from the ground using powerful optics and a human determines whether the blade is "OK" or needs to undergo repair. In this project we will develop a system which uses a flying drone (UAV - Unmanned Aerial Vehicle) to image the blades, do high resolution 3D reconstruction of the blades' surface and exactly quantify the amount of erosion. Subsequently, these erosion measurements are turned into estimates of reduced Annual Energy Production (AEP). The turbine owner can then make a absolutely informed decision on whether to run the turbine for a while longer or to initiate repairs.
Kort titelLER BLades
Effektiv start/slut dato01/10/201501/05/2019


  • 5 Konferenceartikel i proceeding
  • 1 Bidrag til bog/antologi
  • 1 Tidsskriftartikel

Calculating Absolute Scale and Scale Uncertainty for SfM Using Distance Sensor Measurements: A Lightweight and Flexible Approach

Nikolov, I. A. & Madsen, C. B., 2020, Recent Advances in 3D Imaging, Modeling and Reconstruction. IGI global, s. 168-192 25 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

  • High-Resolution Structure-from-Motion for Quantitative Measurement of Leading-Edge Roughness

    Schou Nielsen, M., Nikolov, I. A., Kruse, E. K., Garnæs, J. & Madsen, C. B., 2020, I : Energies. 13, 3916

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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    Interactive Environment for Testing SfM Image Capture Configurations

    Nikolov, I. A. & Madsen, C. B., 27 feb. 2019, VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Kerren, A., Hurter, C. & Braz, J. (red.). SCITEPRESS Digital Library, s. 317-322 6 s.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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  • 28 Downloads (Pure)