Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 651–665, 2018
https://doi.org/10.5194/wes-3-651-2018
Wind Energ. Sci., 3, 651–665, 2018
https://doi.org/10.5194/wes-3-651-2018
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. 
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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.