Articles | Volume 1, issue 2
Research article
01 Nov 2016
Research article |  | 01 Nov 2016

Wind turbine power production and annual energy production depend on atmospheric stability and turbulence

Clara M. St. Martin, Julie K. Lundquist, Andrew Clifton, Gregory S. Poulos, and Scott J. Schreck

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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., Lundquist, J. K., Pichugina, Y. L., and Banta, R. M.: Quantifying wind turbine wake characteristics from scanning remote sensor data, J. Atmos. Ocean. Tech., 31, 765–787,, 2014.
Antoniou, I. and Pedersen, T. F.: Nacelle Anemometry on a 1MW Wind Turbine, Risø National Laboratory, Roskilde, Denmark, 37 pp., 1997.
Antoniou, I., Pedersen, S. M., and Enevoldsen, P. B.: Wind shear and uncertainties in power curve measurement and wind resources, Wind Eng., 33, 449–468,, 2009.
Banta, R. M., Oliver, L. D., Gudiksen, P. H., and Lange, R.: Implications of small-scale flow features to modeling dispersion over complex terrain, J. Appl. Meteorol., 35, 330–342, 1996.
Short summary
We use turbine nacelle-based measurements and measurements from an upwind tower to calculate wind turbine power curves and predict the production of energy. We explore how different atmospheric parameters impact these power curves and energy production estimates. Results show statistically significant differences between power curves and production estimates calculated with turbulence and stability filters, and we suggest implementing an additional step in analyzing power performance data.
Final-revised paper