Comparison of the Performance of Ice Detectors on Wind Turbine Rotors

Wind power

Période de réalisation

April 1, 2017 to May 1, 2019

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Le projet

Ice on wind turbine blades reduces power output and poses safety risks, which is why reliable detection is so important. We compared the performance of three rotor ice detectors installed on one of our wind turbines: the BLADEcontrol from Weidmüller, the Rotor Ice Control from fos4X, and the Eologix.

Each sensor was evaluated based on four criteria: technical availability, total duration of icing measured over the period, severity of events, and temporal accuracy of detection. To ensure a reliable baseline, we used images captured every ten minutes by two cameras mounted on the wind turbine hub, combined with the machine’s status codes. This rigorous comparison provides wind farm operators with concrete benchmarks to help them choose the detection system best suited to their needs.

The Objectives

  • Compare the performance of three wind turbine rotor ice detectors
  • evaluate each system based on technical availability, duration of icing, severity, and temporal accuracy
  • to provide park operators with reliable guidelines for selecting a detection system

Our Solutions

  • Performance comparison of Weidmüller's BLADEcontrol, fos4X's Rotor Ice Control, and Eologix on a wind turbine at the research site
  • evaluation based on four criteria: technical availability, total duration of icing, severity, and temporal accuracy
  • use of images captured every ten minutes by two hub cameras, combined with the wind turbine's status codes, as a reference
  • Application of the Hanssen-Kuipers competency score to measure each system's ability to detect actual icing

Highlights

  • Comparison of 3 frost sensors on a wind turbine at the research site

  • An average of 1,023 hours of instrumented icing were observed during the winter of 2017–2018

  • technical availability ranging from 89% to 99% for all systems

  • Hanssen-Kuipers competency scores ranging from 10% to 75%

  • 2 hub cameras used as a reference, with images taken every 10 minutes

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