Articles | Volume 6, issue 6
https://doi.org/10.5194/wes-6-1491-2021
https://doi.org/10.5194/wes-6-1491-2021
Research article
 | 
30 Nov 2021
Research article |  | 30 Nov 2021

On turbulence models and lidar measurements for wind turbine control

Liang Dong, Wai Hou Lio, and Eric Simley

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Cited articles

Bak, C., Zahle, F., Bitsche, R., Yde, A., Henriksen, L. C., Natarajan, A., and Hansen, M. H.: Description of the DTU 10 MW Reference Wind Turbine, Tech. rep., DTU Wind Energy Report-I-0092, DTU Wind Energy, Roskilde, Denmark, 2013. a
Bossanyi, E.: Un-freezing the turbulence: application to LiDAR-assisted wind turbine control, IET Renew. Power Generat., 7, 321–329, 2013. a, b
Bossanyi, E., Kumar, A., and Hugues-Salas, O.: Wind turbine control applications of turbine-mounted LIDAR, J. Phys.: Conf. Ser., 555, 012011, https://doi.org/10.1088/1742-6596/555/1/012011, 2014. a
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Eliassen, L. and Obhrai, C.: Coherence of Turbulent Wind under Neutral Wind Conditions at FINO1, in: Energy Procedia, vol. 94, Elsevier Ltd, Trondheim, Norway, 388–398, https://doi.org/10.1016/j.egypro.2016.09.199, 2016. a
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This paper suggests that the impacts of different turbulence models should be considered as uncertainties while evaluating the benefits of lidar-assisted control (LAC) in wind turbine design. The value creation of LAC, evaluated using the Kaimal turbulence model, will be diminished if the Mann turbulence model is used instead. In particular, the difference in coherence is more significant for larger rotors.
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