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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (03 Jan 2018) by Julie Lundquist
AR by Alfredo Peña on behalf of the Authors (04 Jan 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Jan 2018) by Julie Lundquist
RR by Anonymous Referee #3 (13 Jan 2018)
RR by Anonymous Referee #1 (01 Feb 2018)
ED: Publish subject to minor revisions (review by editor) (14 Feb 2018) by Julie Lundquist
AR by Alfredo Peña on behalf of the Authors (21 Feb 2018)  Author's response    Manuscript
ED: Publish as is (21 Mar 2018) by Julie Lundquist
ED: Publish as is (26 Mar 2018) by Gerard J.W. van Bussel(Chief Editor)
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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.