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AMT | Articles | Volume 11, issue 6
Atmos. Meas. Tech., 11, 3801–3814, 2018
https://doi.org/10.5194/amt-11-3801-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Flow in complex terrain: the Perdigão campaigns (WES/ACP/AMT...

Atmos. Meas. Tech., 11, 3801–3814, 2018
https://doi.org/10.5194/amt-11-3801-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 28 Jun 2018

Research article | 28 Jun 2018

Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup

Norman Wildmann et al.
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Cited articles  
Aitken, M. L. and Lundquist, J. K.: Utility-Scale Wind Turbine Wake Characterization Using Nacelle-Based Long-Range Scanning Lidar, J. Atmos. Ocean. Tech., 31, 1529–1539, https://doi.org/10.1175/JTECH-D-13-00218.1, 2014. a
Barthelmie, R. J., Folkerts, L., Ormel, F. T., Sanderhoff, P., Eecen, P. J., Stobbe, O., and Nielsen, N. M.: Offshore Wind Turbine Wakes Measured by Sodar, J. Atmos. Ocean. Tech., 20, 466–477, https://doi.org/10.1175/1520-0426(2003)20<466:OWTWMB>2.0.CO;2, 2003. a
Bingöl, F., Mann, J., and Foussekis, D.: Conically scanning lidar error in complex terrain, Meteorol. Z., 18, 189–195, https://doi.org/10.1127/0941-2948/2009/0368, 2009. a
Calhoun, R., Heap, R., Princevac, M., Newsom, R., Fernando, H., and Ligon, D.: Virtual Towers Using Coherent Doppler Lidar during the Joint Urban 2003 Dispersion Experiment, J. Appl. Meteorol. Clim., 45, 1116–1126, https://doi.org/10.1175/JAM2391.1, 2006. a
Choukulkar, A., Brewer, W. A., Sandberg, S. P., Weickmann, A., Bonin, T. A., Hardesty, R. M., Lundquist, J. K., Delgado, R., Iungo, G. V., Ashton, R., Debnath, M., Bianco, L., Wilczak, J. M., Oncley, S., and Wolfe, D.: Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign, Atmos. Meas. Tech., 10, 247–264, https://doi.org/10.5194/amt-10-247-2017, 2017. a
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Short summary
Wind turbines extract energy from the flow which manifests in a region of lower wind speeds and increased turbulence downstream of the rotor, the so-called wake. Understanding the characteristics of the wake is a key challenge for wind-energy research. A new strategy for measuring the wind in the wake with three synchronized lidar instruments is presented. The measurement points are automatically adapted to the prevailing wind direction to achieve continuous monitoring of wake properties.
Wind turbines extract energy from the flow which manifests in a region of lower wind speeds and...
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