Articles | Volume 3, issue 1
Wind Energ. Sci., 3, 191–202, 2018
https://doi.org/10.5194/wes-3-191-2018

Special issue: Wind Energy Science Conference 2017

Wind Energ. Sci., 3, 191–202, 2018
https://doi.org/10.5194/wes-3-191-2018
Research article
13 Apr 2018
Research article | 13 Apr 2018

On wake modeling, wind-farm gradients, and AEP predictions at the Anholt wind farm

Alfredo Peña et al.

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Cited articles

Barthelmie, R. J., Hansen, K., Frandsen, S. T., Rathmann, O., Schepers, J. G., Schlez, W., Phillips, J., Rados, K., Zervos, A., Politis, E. S., and Chaviaropoulus, P. K.: Modelling and Measuring flow and wind turbine wakes in large wind farms offshore, Wind Energy, 12, 431–444, 2009. a, b
Damgaard, S.: Open issues in wake model validation, available at: http://www.windpower.org/download/2639/08_open_issues_in_wake_model_validationpdf (last access: 10 April 2018), 2015. a
Dörenkämper, M., Optis, M., Monahan, A., and Steinfeld, G.: On the offshore advection of boundary-layer structures and the influence on offshore wind conditions, Bound.-Lay. Meteorol., 155, 459–482, 2015. a
Gaumond, M., Réthoré, P.-E., Ott, S., Peña, A., Bechmann, A., and Hansen, K. S.: Evaluation of the wind direction uncertainty and its impact on wake modelling at the Horns Rev offshore wind farm, Wind Energy, 17, 1169–1178, 2014. a
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Short summary
We analyze the wake of the Anholt offshore wind farm in Denmark by intercomparing models and measurements. We also look at the effect of the land on the wind farm by intercomparing mesoscale winds and measurements. Annual energy production and capacity factor estimates are performed using different approaches. Lastly, the uncertainty of the wake models is determined by bootstrapping the data; we find that the wake models generally underestimate the wake losses.