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The Influence of Turbulence and Vertical Wind Profile in Wind Turbine Power Curve

  • A. Honrubia
  • A. Vigueras-Rodríguez
  • E. Gómez-Lázaro
Part of the Springer Proceedings in Physics book series (SPPHY, volume 141)

Abstract

To identify the influence of turbulence and vertical wind profile in wind turbine performance, wind speed measurements at different heights have been performed. Measurements have been developed using a cup anemometer and a LIDAR equipment, specifically a pulsed wave one. The wind profile has been recorded to study the effect of the atmospheric conditions over the energy generated by a wind turbine located close to the LIDAR system. The changes in the power production of the wind turbine are relevant.

Keywords

Wind Speed Wind Turbine Turbulence Intensity Wind Farm Wind Shear 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Gottschall, J., Peinke, J.: How to improve the estimation of power curves for wind turbines. Environmental Research Letters 3(1), 015005 (7pp) (2008)CrossRefGoogle Scholar
  2. 2.
    Honrubia, A., Vigueras, A., Gómez, E., Rodríguez, D.: The influence of wind shear in wind turbine power estimation. In: European Wind Energy Conference (2010)Google Scholar
  3. 3.
    Wagner, R., Antoniou, I., Pedersen, S.M., Courtney, M.S., Jorgensen, H.E.: The influence of the wind speed profile on wind turbine performance measurements. Wind Energy 12, 348–362 (2009)CrossRefGoogle Scholar
  4. 4.
    Antoniou, I., Pedersen, S.M.: Influence of turbulence, wind shear and low-level jets on the power curve and the aep of a wind turbine. In: Eurpean Wind Energy Conference (2009)Google Scholar
  5. 5.
    Langreder, W., Kaiser, K., Hohlen, H., Hojstrup, J.: Turbulence correction for power curves. In: European Wind Energy Conference (2004)Google Scholar
  6. 6.
    Bleiber, K., Kramkowski, T., Cosack, N., Braun, K.: The influence of meteorological parameters on the operational behavior of multi-megawatt wec. In: German Wind Energy Conference (2006)Google Scholar
  7. 7.
    Honrubia, A., Vigueras, A., Gomez, E., Mejías, M., Lainez, I.: Comparative analysis between lidar technologies and common wind speed meters. In: World Wind Energy Conference (2010)Google Scholar
  8. 8.
    Honrubia, A., Vigueras-Rodríguez, A., Gómez-Lázaro, E.: Vertical wind profile measurement using a pulsed lidar system. In: International Symposium for the Advancement of Boundary Layer Remote Sensing (2010)Google Scholar
  9. 9.
    Lange, M., Focken, U.: Physical Approach to Short-Term Wind Power Prediction. Springer (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • A. Honrubia
    • 1
  • A. Vigueras-Rodríguez
    • 2
  • E. Gómez-Lázaro
    • 1
  1. 1.Renewable Energy Research InstituteUniversity of Castilla-La ManchaAlbaceteSpain
  2. 2.Albacete Science & Technology ParkAlbaceteSpain

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