Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Wind Energ. Sci., 2, 269-283, 2017
http://www.wind-energ-sci.net/2/269/2017/
doi:10.5194/wes-2-269-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research articles
24 May 2017
Wind field reconstruction from nacelle-mounted lidar short-range measurements
Antoine Borraccino et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Paper review', Domenico Di Domenico, 14 Apr 2017 Printer-friendly Version 
AC1: 'Reply to referee 1', Antoine Borraccino, 17 Apr 2017 Printer-friendly Version 
 
RC2: 'Excellent paper that should give hope to superior wind turbine testign techniques in the coming years', Simon Feeney, 19 Apr 2017 Printer-friendly Version 
AC2: 'Reply to referee 2', Antoine Borraccino, 20 Apr 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (24 Apr 2017) by Sandrine Aubrun  
AR by Antoine Borraccino on behalf of the Authors (25 Apr 2017)  Author's response  Manuscript
ED: Publish as is (27 Apr 2017) by Sandrine Aubrun
ED: Publish as is (28 Apr 2017) by Joachim Peinke (Chief Editor)
Publications Copernicus
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Short summary
The paper describes an innovative methodology to extract useful wind field estimates from remote sensing instruments – called lidars – mounted on the nacelle of a wind turbine. We used lidar measurements at multiple distances upstream and close to the wind turbine rotor in order to retrieve free-stream wind characteristics. The methodology and the obtained results open new paths to assess the power performance of wind turbines, which is essential to ensure financially viable wind farm projects.
The paper describes an innovative methodology to extract useful wind field estimates from remote...
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