Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 651–665, 2018
Wind Energ. Sci., 3, 651–665, 2018
Research article
24 Sep 2018
Research article | 24 Sep 2018

Interannual variability of wind climates and wind turbine annual energy production

Sara C. Pryor et al.

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Cited articles

Badger, M., Peña, A., Hahmann, A. N., Mouche, A. A., and Hasager, C. B.: Extrapolating satellite winds to turbine operating heights, J. Appl. Meteorol. Clim., 55, 975–991, 2016. 
Barthelmie, R. J., Palutikof, J. P., and Davies, T. D.: Estimation of sector roughness and the effect on prediction of the vertical wind speed profile, Bound.-Lay. Meteorol., 66, 19–47, 1993. 
Barthelmie, R. J., Murray, F., and Pryor, S. C.: The economic benefit of short-term forecasting for wind energy in the UK electricity market, Energ. Policy, 36, 1687–1696, 2008. 
Barthelmie, R. J., Hansen, K. S., and Pryor, S. C.: Meteorological controls on wind turbine wakes, Proc. IEEE, 101, 1010–1019, 2013. 
Beljaars, A.: The parametrization of surface fluxes in largescale models under free convection, Q. J. Roy. Meteor. Soc., 121, 255–270, 1995. 
Short summary
The interannual variability (IAV) of annual energy production (AEP) from wind turbines due to IAV in wind speeds from proposed wind farms plays a key role in dictating project financing but is only poorly constrained. This study provides improved quantification of IAV over eastern N. America using purpose-performed long-term numerical simulations. It may be appropriate to reduce the IAV applied to preconstruction AEP estimates, which would decrease the cost of capital for wind farm developments.