Boquet, Matthieu

Courtney, Michael

Cussons, Robert

McKeown, Stephen

Murthy, Raghu Krishna

Vignaroli, Andrea

Wagner, Rozenn

Online Research Database In Technology

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Downloaded from orbit.dtu.dk on: Dec 21, 2017Real world offshore power curve using nacelle mounted and scanning Doppler lidarsWagner, Rozenn; Vignaroli, Andrea; Courtney, Michael; McKeown, Stephen ; Cussons, Robert ; Murthy,Raghu Krishna; Boquet, MatthieuPublication date:2015Document VersionPublisher's PDF, also known as Version of recordLink back to DTU OrbitCitation (APA):Wagner, R., Vignaroli, A., Courtney, M., McKeown, S., Cussons, R., Murthy, R. K., & Boquet, M. (2015). Realworld offshore power curve using nacelle mounted and scanning Doppler lidars European Wind EnergyAssociation (EWEA). [Sound/Visual production (digital)]. EWEA Offshore 2015 Conference, Copenhagen,Denmark, 10/03/2015Real world offshore power curve using nacelle mounted and scanning Doppler lidars Rozenn Wagner, Andrea Vignaroli, Mike Courtney Stephen McKeown, Robert Cussons Raghu Krishna Murthy, Matthieu Boquet  EWEA  Offshore 2015 Copenhagen, DK 11th March 2015 DTU Wind Energy, Denmark SSE, UK LEOSPHERE/AVENT, France DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Project description 2 Objectives: • Assess potential of lidars for power performance verification offshore. Could it replace a mast?  Method: • Two different lidars: – Sector scanning lidar (Windcube 100S) on turbine transition piece platform – Nacelle mounted lidar (Wind Iris)  • IEC compliant met mast for reference  DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Outline • Project description • Lidars calibration • Offshore deployment/measurement set up • Availability of lidars’ data • Measurement height • Comparison lidars/cup anemometer • Power curves and AEP • Uncertainties 3 DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Project place 4 Greater Gabbard Offshore Wind Farm (GGOWL) in Lowestoft, Suffolk DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Project timeline 5 13 2014 2015 12 01 02 03 04 05 06 07 08 09 10 11 12 01 02 03 04 W100S Deploy Wind Iris Deploy  CALIBRATION (Onshore) CALIBRATION (Onshore) MEASUREMENTS (Offshore) MEASURE-MENTS (Offshore) DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Lidars calibration at Høvsøre 6 Wind Iris Windcube 100S • Inclinometers offset • Radial wind speed along 2 LOS [1] • Horizontal wind speed measurement uncertainty: 1.7% to 2.9% • 4 months • Inclinometers offset [2] • Reconstructed horizontal wind speed • Horizontal wind speed measurement uncertainty: 1.9% to 2.9% • 3.5 months DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Offshore deployment 7 IEC compliant met mast Wind Iris Windcube 100S DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” 2014 2015Sep Oct Nov Dec Jan FebP_AvgWS_645h_mean_corrHDistanceHWSmHWSmaxHWSminDirectionmUmVmRWS0mdRWS0RWS1mdRWS1Data availability Wind Iris : 100%  8 Lidar technical problems reboot (remotely) Windcube 100S : 77% Low CNR Condensation on the scanning head window replacement of desiccant bag cleaning of window DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Sensing height for Wind Iris nacelle lidar 9 • Measuring above hub height   Optical head inclination adjusted to account for height of device and variations in tilt  But challenging adjustment as top of turbine is moving a lot (monopile foundation) • Variations due to motion of turbine nacelle Alfa mast vs hub height WS Beam height relative to hub height DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Sensing height for Windcube 100S 10 Beam height relative to hub height • Measuring above hub height (and above 2.5% of hub height) • Scanning head elevation angle was slightly increased in order to avoid hitting the mast • Variations due to motion of turbine and TP  Free sector DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Windcube 100S/top cup comparison 11 Wind speed  Wind sector reduced compared to IEC sector in order to keep the full scan free from wakes   Good comparison on average; 0.7% higher wind speed  Spread increasing with wind speed  Similar observation during calibration Filters: • wind sector: 128˚-274˚ • Lidar confidence factor (CF) in 10 min>85% • Turbine Available and free of failure • Cup concurrent with Lidar Mean = 0.088 St. Dev =0.268 5259 points DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Wind Iris/top cup comparison 12 Filters: • IEC power curve wind sector • Radial wind speed availability:       RWS0>0.55 and RWS1>0.60 • Turbine Available and free of failure • Cup concurrent with Lidar  Good comparison on average  Spread smaller than the Windcube 100S  Always measuring upstream[3]  Smaller dataset 478 points Mean = 0.033 St. Dev =0.189 DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Power curves and AEP 13 Hub height annual average wind speed AEP relative to cup AEP m/s [%] 4.0 97.20% 5.0 97.75% 6.0 98.21% 7.0 98.57% 8.0 98.86% 9.0 99.13% 10.0 99.42% 11.0 99.72% Hub height annual average wind speed AEP relative to cup AEP m/s [%] 4.0 97.96% 5.0 98.22% 6.0 98.56% 7.0 98.85% 8.0 99.06% 9.0 99.22% 10.0 99.34% 11.0 99.42% Windcube 100S Wind Iris DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Uncertainty 14 Wind Iris   Windcube 100S DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” What drives uncertainty? 15 13 March 2015 Wind Iris 1. Calibration [1] 2. Sensing height 3. Inclinometer   Cup anemometer 1. Calibration 2. Class (operational) 3. Mounting 4. Data acquisition Similar approach and results for the Windcube 100S DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Conclusions • Generally good availability of data;  • but need proper monitoring and possibility of fast maintenance  • Good comparison lidar/mast on average • Lidars power curves uncertainty very close to cup power curve uncertainty – Lower uncertainty of cup used for calibration of lidars than cup used for the power curve  • Using lidars for power performance verification require a calibration before deployment offshore (couple of months) • Lidar deployment faster and cheaper than mast – Challenge: setting up height accurately  • None of these techniques is formally accepted by the new IEC standard 61400-12-1 ver.2 Draft CDV  16 DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” From the perspective of the end user • Significant CAPEX saving • Encouragement that uncertainties are comparable to mast • Challenge going forward – reduce uncertainties further • Question - long-term operability of lidars if being viewed as a permanent mast replacement.  What is the OPEX cost?  17 DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Project finalisation  Measurement campaign on-going for a couple of months   Report about results for a concurrent dataset     Publically available     Expected in May 2015 18 DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” References [1] Courtney M, Calibrating Nacelle lidars, DTU Wind Energy-0016 [2] Wagner R & M Courtney, Comparison test of WLS200S-22 (Final), Report LC-I-046(EN) [3] Wagner et al., Power curve measurement with a two-beam nacelle lidar, Wind Energy 17-9: 1441–1453, 2014 19 Acknowledgment To colleagues in DTU who have helped with the data analysis To technical staff from DTU, SSE and GGOWL who took care of the lidar installation and maintenance DTU Wind Energy, Technical University of Denmark Add Presentation Title in Footer via ”Insert”; ”Header & Footer” 20 rozn@dtu.dk  Thank you for your attention  Questions 

Real world offshore power curve using nacelle mounted and scanning Doppler lidars

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Real world offshore power curve using nacelle mounted and scanning Doppler lidars

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