Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Wind Energ. Sci., 2, 175-187, 2017
https://doi.org/10.5194/wes-2-175-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research articles
28 Mar 2017
Monitoring offshore wind farm power performance with SCADA data and an advanced wake model
Niko Mittelmeier 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: 'Comments on ”Monitoring offshore wind farm power performace with SCADA data and advanced wake model”', Anonymous Referee #1, 15 Jun 2016 Printer-friendly Version 
AC1: 'Answers to comments of anonymous Referee #1 by Niko Mittelmeier et al.', Niko Mittelmeier, 26 Jul 2016 Printer-friendly Version Supplement 
 
RC2: 'Monitoring offshore wind farm power performance with SCADA data and advanced wake model', Anonymous Referee #2, 16 Jun 2016 Printer-friendly Version 
AC2: 'Answers to comments of anonymous Referee #2 by Niko Mittelmeier et al.', Niko Mittelmeier, 26 Jul 2016 Printer-friendly Version Supplement 
 
RC3: 'Review of Offshore Underperformance Detection by Mittelmeier, Blodau and Kühn', Anonymous Referee #3, 23 Jun 2016 Printer-friendly Version 
AC3: 'Answers to comments of anonymous Referee #3 by Niko Mittelmeier et al.', Niko Mittelmeier, 26 Jul 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (26 Sep 2016) by Gerard J.W. van Bussel  
AR by Niko Mittelmeier on behalf of the Authors (01 Nov 2016)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (27 Nov 2016) by Gerard J.W. van Bussel
RR by Anonymous Referee #3 (28 Nov 2016)  
RR by Anonymous Referee #1 (09 Dec 2016)  
RR by Anonymous Referee #2 (12 Dec 2016)
ED: Publish subject to minor revisions (review by editor) (22 Jan 2017) by Gerard J.W. van Bussel  
AR by Niko Mittelmeier on behalf of the Authors (30 Jan 2017)  Author's response  Manuscript
ED: Publish as is (21 Feb 2017) by Gerard J.W. van Bussel  
ED: Publish as is (05 Mar 2017) by Gerard J.W. van Bussel (Chief Editor)
CC BY 4.0
Publications Copernicus
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Short summary
Efficient detection of wind turbines operating below their expected power output and immediate corrections help maximize asset value. The method presented estimates the environmental conditions from turbine states and uses pre-calculated power lookup tables from a numeric wake model to predict the expected power output. Deviations between the expected and the measured power output are an indication of underperformance. A demonstration of the method's ability to detect underperformance is given.
Efficient detection of wind turbines operating below their expected power output and immediate...
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