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Investigating LiDAR Sensing Errors for Wind Turbines Loads Reduction

[+] Author Affiliations
Benoit Bayon, Jonathan Chauvin

IFP Energies nouvelles, Rueil-Malmaison, France

Paper No. OMAE2014-24034, pp. V09BT09A011; 10 pages
doi:10.1115/OMAE2014-24034
From:
  • ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 9B: Ocean Renewable Energy
  • San Francisco, California, USA, June 8–13, 2014
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-4554-7
  • Copyright © 2014 by ASME

abstract

LiDAR sensors are a promising technology for a reliable measurement of the incoming wind. This is especially useful for applications such as antennas and wind turbines. For wind turbines, the use of this sensor provides the information of the rotor wind speed which can be used in dedicated control laws to improve the wind turbine performance, mainly on the mechanical loads and extreme moments. However the provided information is not flawless. Several error sources exist and degrade the wind information. As a consequence, the performance of the blade pitch control law is reduced. In this paper, an insight of the LiDAR measurement error sources is provided through the establishment of a frequency domain model. The impact of these errors on the performance of a blade pitch control law is investigated, along with the comparison with a standard control law.

Copyright © 2014 by ASME

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