Articles | Volume 8, issue 2
Research article
23 Feb 2015
Research article |  | 23 Feb 2015

Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics

J. K. Lundquist, M. J. Churchfield, S. Lee, and A. Clifton

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Cited articles

Aitken, M. L., Rhodes, M. E., and Lundquist, J. K.: Performance of a wind-profiling lidar in the region of wind turbine rotor disks, J. Atmos. Ocean. Tech., 29, 347–355, 2012.
Aitken, M. L., Banta, R. M., Pichugina, Y. L., and Lundquist, J. K.: Quantifying wind turbine wake characteristics from scanning remote sensor data, J. Atmos. Ocean. Tech., 31, 765–787,, 2014a.
Aitken, M. L., Kosovic, B., Mirocha, J., and Lundquist, J. K.: Large-eddy simulation of wind turbine wake dynamics in the stable boundary layer using the Weather Research and Forecasting Model, J. Renew. Sustain. Ener., 6, 033137,, 2014b.
Banakh, V. A. and Smalikho, I. N.: Estimation of turbulent energy dissipation rate from data of pulse Doppler lidar, Atmos. Oceanic Opt., 10, 957–965, 1997.
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,<466:OWTWMB>2.0.CO;2, 2003.
Short summary
Wind-profiling lidars are now regularly used in boundary-layer meteorology and in applications like wind energy, but their use often relies on assuming homogeneity in the wind. Using numerical simulations of stable flow past a wind turbine, we quantify the error expected because of the inhomogeneity of the flow. Large errors (30%) in winds are found near the wind turbine, but by three rotor diameters downwind, errors in the horizontal components have decreased to 15% of the inflow.