Measuring power performance with a Wind Iris 4- beam in accordance with EUDP procedure

Similar documents
3D Nacelle Mounted Lidar in Complex Terrain

Procedure for wind turbine power performance measurement with a two-beam nacelle lidar

Windcube FCR measurements

Flow analysis with nacellemounted

Power curves - use of spinner anemometry. Troels Friis Pedersen DTU Wind Energy Professor

7 th International Conference on Wind Turbine Noise Rotterdam 2 nd to 5 th May 2017

PROJECT CYCLOPS: THE WAY FORWARD IN POWER CURVE MEASUREMENTS?

Executive Summary of Accuracy for WINDCUBE 200S

Nacelle lidar for power curve measurement _ Avedøre campaign. DTU Vindenergi. Report Rozenn Wagner, Samuel Davoust. DTU Wind Energy E-0016

Increased Project Bankability : Thailand's First Ground-Based LiDAR Wind Measurement Campaign

Meteorological Measurements OWEZ

Meteorological Measurements OWEZ

Evaluation of wind flow with a nacelle-mounted, continuous wave wind lidar

LiDAR Application to resource assessment and turbine control

3D Turbulence at the Offshore Wind Farm Egmond aan Zee J.W. Wagenaar P.J. Eecen

Remote sensing standards: their current status and significance for offshore projects

Test Summary Report Giraffe 2.0 Hybrid Wind-Solar Power Station - for wind: according to IEC Annex M - for solar: measurement report

The Wind Resource: Prospecting for Good Sites

REMOTE SENSING APPLICATION in WIND ENERGY

CORRELATION EFFECTS IN THE FIELD CLASSIFICATION OF GROUND BASED REMOTE WIND SENSORS

Measurement and simulation of the flow field around a triangular lattice meteorological mast

Supplement of Wind turbine power production and annual energy production depend on atmospheric stability and turbulence

Calibration of wind direction sensors at Deutsche WindGuard Wind Tunnel Services GmbH

FINO1 Mast Correction

Measurement of rotor centre flow direction and turbulence in wind farm environment

Validation of Measurements from a ZephIR Lidar

Rotor Average wind speed for power curve performance. Ioannis Antoniou (LAC), Jochen Cleve (LAC), Apostolos Piperas (LAC)

Full Classification acc. to IEC for SoDAR AQ510 Wind Finder. Vincent Camier, Managing Director, Ammonit Measurement GmbH

WindProspector TM Lockheed Martin Corporation

Yawing and performance of an offshore wind farm

Wind Turbine Generator System Pika T701 Acoustic Test Report

Energy from wind and water extracted by Horizontal Axis Turbine

Lely Aircon LA30 Wind turbine

The World Of Weather Data

Available online at ScienceDirect. Energy Procedia 53 (2014 )

Wind shear and its effect on wind turbine noise assessment Report by David McLaughlin MIOA, of SgurrEnergy

Rotor equivalent wind speed for power curve measurement comparative exercise for IEA Wind Annex 32

Wind Project Siting & Resource Assessment

PRESSURE DISTRIBUTION OF SMALL WIND TURBINE BLADE WITH WINGLETS ON ROTATING CONDITION USING WIND TUNNEL

CONSTRUCTION OF LNG RECEIVING TERMINAL ON THE SAINT LAWRENCE TIDAL CURRENT CONDITIONS IN THE LEVIS AREA

3D-simulation of the turbulent wake behind a wind turbine

Wind Resource Assessment for FALSE PASS, ALASKA Site # 2399 Date last modified: 7/20/2005 Prepared by: Mia Devine

Validation of long-range scanning lidars deployed around the Høvsøre Test Station

Wind farm performance

Anemometry. Anemometry. Wind Conventions and Characteristics. Anemometry. Wind Variability. Anemometry. Function of an anemometer:

Deep Sea Offshore Wind Power R&D Seminar Trondheim, Jan. 2011

Predicting climate conditions for turbine performance

Terms and Definitions for Small Wind Site Assessor

Calibration of a spinner anemometer for wind speed measurements

TOPICS TO BE COVERED

TESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN

Wind Resource Assessment for NOME (ANVIL MOUNTAIN), ALASKA Date last modified: 5/22/06 Compiled by: Cliff Dolchok

Measuring offshore winds from onshore one lidar or two?

Yawing and performance of an offshore wind farm

LIDAR Correlation to Extreme Flapwise Moment : Gust Impact Prediction Time and Feedforward Control

Wind Flow Validation Summary

MULTI-WTG PERFORMANCE OFFSHORE, USING A SINGLE SCANNING DOPPLER LIDAR

Offshore Wind Turbine Wake Characterization using Scanning Doppler Lidar

Improvement of Wind Farm Performance by Means of Spinner Anemometry

LONG TERM SITE WIND DATA ANNUAL REPORT. Mass Turnpike Authority Blandford, MA

Spinner Anemometry Pedersen, T.F.; Sørensen, Niels; Madsen, H.A.; Møller, R.; Courtney, M.; Enevoldsen, P.; Egedal, P.

European wind turbine testing procedure developments. Task 1: Measurement method to verify wind turbine performance characteristics

Comparison of flow models

WIND CONDITIONS MODELING FOR SMALL WIND TURBINES

Influence of wind direction on noise emission and propagation from wind turbines

2MW baseline wind turbine: model development and verification (WP1) The University of Tokyo & Hitachi, Ltd.

VINDKRAFTNET MEETING ON TURBULENCE

Influence of the Number of Blades on the Mechanical Power Curve of Wind Turbines

SUPPLEMENTARY GUIDANCE NOTE 4: WIND SHEAR

On the use of rotor equivalent wind speed to improve CFD wind resource mapping. Yavor V. Hristov, PhD Plant Performance and Modeling Vestas TSS

LONG TERM SITE WIND DATA ANNUAL REPORT WBZ

M. Mikkonen.

WIND DATA REPORT. Quincy DPW, MA

WMO LABORATORY INTERCOMPARISON OF RAIN INTENSITY GAUGES

Effect of wind flow direction on the loads at wind farm. Romans Kazacoks Lindsey Amos Prof William Leithead

The OWEZ Meteorological Mast

Computationally Efficient Determination of Long Term Extreme Out-of-Plane Loads for Offshore Turbines

Wind Farm Blockage: Searching for Suitable Validation Data

VISUAL AIDS FOR DENOTING OBSTACLES

WIND DATA REPORT. Bourne Water District

Wind Farm Power Performance Test, in the scope of the IEC

Investigating Wind Flow properties in Complex Terrain using 3 Lidars and a Meteorological Mast. Dimitri Foussekis

Study on wind turbine arrangement for offshore wind farms

Wind loads investigations of HAWT with wind tunnel tests and site measurements

LONG TERM SITE WIND DATA QUARTERLY REPORT. Bishop and Clerks

Pressure distribution of rotating small wind turbine blades with winglet using wind tunnel

Intertek Test Report No CRT-003 Project No. G

Windar Photonics Wind Sensor. Great at Control

COMPARISON OF ZEPHIR MEASUREMENTS AGAINST CUP ANEMOMETRY AND POWER CURVE ASSESSMENT

WIND INDUSTRY APPLICATIONS

Site Summary. Wind Resource Summary. Wind Resource Assessment For King Cove Date Last Modified: 8/6/2013 By: Rich Stromberg & Holly Ganser

Calibration of a spinner anemometer for wind speed measurements

WIND DATA REPORT. Ragged Mt Maine

Summary of the steps involved in the calibration of a Spinner anemometer

ITTC Recommended Procedures and Guidelines

Investigation on Atmospheric Boundary Layers: Field Monitoring and Wind Tunnel Simulation

EMPOWERING OFFSHORE WINDFARMS BY RELIABLE MEASUREMENTS

WIND DATA REPORT. Paxton, MA

WIND DATA REPORT. Mt. Lincoln Pelham, MA

This test shall be carried out on all vehicles equipped with open type traction batteries.

Transcription:

Measuring power performance with a Wind Iris 4- beam in accordance with EUDP procedure This document evaluates the applicability of the EUDP procedure for wind turbine measuring power performance using a Wind Iris 4-beam lidar in a 2-beam operating mode (inclined). This mode allows to replicate measurements from a Wind Iris 2-beam using a 4- beam, with a combination of hardware and software adaptation. The evaluation is based on requirements and recommandations of R. Wagner, R. L. Rivera et all. Procedure for wind turbine power performance measurement with a two-beam nacelle Lidar. DTU wind. 2013. E-0019., hereafter referred to as EUDP procedure. Content 1. Comparison between Wind Iris 4-beam and 2-beam 2 1.1. Performances 2 1.2. Beam geometry in standard mode 2 1.3. Using the Wind Iris 4-beam in a 2-beam mode 2 2. Suitability for requirements/recommendation from EUDP procedure 3 3. Conclusion 12 Page 1 sur 12

1. COMPARISON BETWEEN WIND IRIS 4-BEAM AND 2-BEAM 1.1. Performances The Wind Iris 4-beam is based on the same technology as the first Wind Iris and its operating performances have been improved. Below is a chart summarizing the differences between the systems on the main measurement parameters: 4-beam 2-beam Range 50 to 400+ meters 80 to 400 meters Data sampling rate 1Hz 1Hz Measuring distances 10 10 Speed range -20m/s to 50m/s -10m/s to 40m/s Spatial resolution 30 meters 60 meters 1.2. Beam geometry in standard mode The Wind Iris 2-beam has one pair of beam measuring horizontally. Horizontal opening angle between the 2 beams is 30 (+/- 15 half angle). The Wind Iris 4-beam has 2 pairs of beams shooting at 2 different heights. The same horizontal opening angle is used (30 ), while the vertical opening angle is 10 (+/* 5 half angle). In its standard mode, the lidar is placed so lower and upper beams are centered around hub-height (see drawing below). This allows retrieving 3 heights of measurement: upper beams, lower beams and hug-height reconstruction (interpolated). 1.3. Using the Wind Iris 4-beam in a 2-beam mode The Wind Iris 4-beam has been designed to be able to replicate measurements as it a Wind Iris 2-beam were used, thanks to dedicated hardware and software features (accessible by Leosphere only). In this mode, the Wind Iris 4-beam is installed with a 5 inclination (compared to its standard mode), so that a set of two beams are in the horizontal plane. The Lidar is then set by software to only shoot along these 2 lines of sight, and using the same reconstruction method as the Wind Iris 2-beam to reconstruct hub-height values. In the end, measurements are the same as if a Wind Iris 2-beam Lidar were used, with some only slight differences in the data format output. Page 2 sur 12

2. SUITABILITY FOR REQUIREMENTS/RECOMMENDATION FROM EUDP PROCEDURE The following charts lists all requirements/recommendations from the EUDP procedure, referred to following the procedure s numbers on the left column. For each requirement involving the Lidar, a comment on the suitability of the Wind Iris 4-beam in a 2-beam mode is given. The main parameters are indicated with a red number. #1 #2 #3 #4 #5 #6 #7 #8 Requirements/recommendation of EUDP This methodology is feasible for applications in flat terrain, including offshore wind farms where a met mast investment makes the formerly mentioned standard unpractical. This methodology is intended to be applied only to horizontal axis wind turbines of sufficient size that the nacelle mounted lidar does not significantly affect the flow through the turbine s rotor and around the nacelle and hence does not affect the wind turbine s performance. In this methodology, the nacelle lidar is located on top of the test turbine s nacelle Wind is measured using a horizontal lidar, mounted on the turbine nacelle and measuring upwind the rotor plane at a distance between 2 and 4 rotor diameters Given the measuring principle of the horizontal lidar based on 2 beams, the method is limited to horizontally homogenous wind flow, thus flow typical for flat onshore or offshore sites. Likewise, the measurement method do not include measurement of wind shear and do therefore not include methods for correction or normalization of non-standard wind profiles Following input is needed: - the distance from the lidar optical head to the tower center line (reference for horizontal distances) ; - the height of the lidar optical head from the rotor center; - the turbine tilt and roll inclinations as a function of the wind speed during operation. Since the lidar is situated on top of the nacelle, it shall be pre-tilted downwards in order to counteract the height of the lidar optical head above hub height and the backwards turbine tilt during operation #9 The target is that the lidar beams at 2.5D (D being the diameter of the wind turbine rotor) in front of Wind Iris 4-beam in 2-beam mode N/A 5 Ok, Wind Iris 4-beam is smaller. 5 Ok, same as with 2-beam. 5 Ok, same as on the 2-beam, one pair of beams is horizontal and allows measurement between 50 and 400m. Ok, same measurement principles, same beam geometry. N/A (the standard mode allows for shear retrieval). Ok, tilt and toll are measured with a high precision inclinometer like on the Wind Iris 2-beam. Ok, same process available to pretilt the Lidar. Ok, same measurement range. 8 Page 6 6 6 8 8 Page 3 sur 12

the rotor will measure as close as possible to hub height. SPECIFICATIONS PREPARATION FOR PERFORMANCES MEASUREMENTS The sector defined as in IEC 61400-12-1:2005 will be restricted so that none of the two lidar beams are affected by the wake of a neighboring turbine or obstacle. Sectors with significant obstacles shall #10 be excluded. The sector to be excluded shall be centered on the direction from the neighboring obstacle (or wind turbine) to the wind turbine under test. As long as the total beam opening angle of the lidar is smaller than 30 degrees, the width of the sector is given by [ ] The above [sector to be excluded] formula assumes that the turbine does not experience a yaw error or that this error has been corrected #11 before the measurement campaign start. A consistency check of the turbine yaw misalignment can be achieved by looking at the transversal component of the lidar wind speed MEASUREMENT PROCEDURE #12 The net electric power of the wind turbine shall be measured using a power measurement device (e.g. a combination of power transducer and current transformers) and will be based on measurements of current and voltage on each phase, as defined in the IEC 61400-12-1:2005, chapter 2. #13 Wind speed measurements should be made at hub height at 2.5D in front of the rotor (see 4.3). #14 #15 #16 #17 The wind speed to be measured is defined as the magnitude of the averaged horizontal components of the wind velocity vector (see Note on averaging in nacelle lidar measurements ), comprising the longitudinal and lateral, but not the vertical, ve-locity components. All reported wind speeds, and all uncertainties connected to operational characteristics shall be related to this wind speed definition The nacelle lidar shall be calibrated before the measurement campaign. Calibration of the lidar shall be made ac-cording to the recommendations in Calibrating nacelle lidars. Moreover, in order to avoid serious malfunction during the measurement campaign, the nacelle lidar should be compared with a control wind Ok, same opening angle. 9 Ok, same transversal component measured. 10 N/A 10 Ok, height is defined with pre-tilt (high accuracy inclinometer) and range between 50 meters and 400 meters is larger than on the 2- beam 10 Ok, same reconstruction. 10 Ok, same wind speed definition. 10 Ok, same calibration process (radial velocity calibration) N/A 10 10-11 Page 4 sur 12

#18 #19 #20 #21 #22 #23 sensor. The control wind sensor can be the nacelle anemometer, in which case the cup anometer should be calibrated. The comparison between the nacelle lidar measurements and those from the control sensor should not change significantly from the start to the end of the measurement campaign. For a spe-cific speed bin, the mean value of the ratio between the wind speed measured by the lidar and that measured by DTU Wind Energy-E-0019 11 the control wind sensor during the first and the last thirds of the measurement period should not differ by more than one standard deviation of the ratio between them for the first period. In case this difference exceeds one standard deviation, the lidar shall be post-calibrated, according to the same procedure as for the precalibration, at the same site and with a reference instrument of the same make, type and calibration institute. In this case the control wind sensor shall be also re-calibrated in the same wind tunnel as pre-viously, to verify that the anemometer is not the cause of the difference. The difference between the regression lines of pre-calibration and post-calibration shall be within the cup ane-mometer calibration uncertainty. The transfer function resulting from the lidar calibration should not be used to correct the lidar measurement, unless the lidar-cup deviation is larger than the calibration uncertainty of the reference instrument. If the calibration is used, only the calibration before the measurement campaign shall be used for the performance test. If the difference between the regression lines of pre-calibration and the post-recalibration is larger than the calibra-tion uncertainty of the reference instrument, then the standard uncertainty of the lidar calibration shall be increased by this difference. The instantaneous horizontal wind direction shall be determined and averaged over 10 minutes The orientation of the lidar can either be given by a compass mounted in the lidar or by the nacelle yaw indication. If the turbine yaw is used, the following requirements must be fulfilled: Ok, calibration process is the same (Radial velocity calibration) 11 N/A 11 N/A 11 N/A 11 Ok, same reconstruction method. 11 N/A 11 #23-1 1) While being mounted on the nacelle, the lidar must be carefully aligned with the axis of the Ok, same alignment process. 11 Page 5 sur 12

#23-2 #23-3 #24 #25 #26 #27 #28 turbine (either using landmark on the turbine shaft or using a neighbouring turbine or mast, see Appendix A) 2) The turbine yaw signal must be calibrated prior to the beginning of the measurement campaign; the uncer-tainty of the turbine yaw signal should be less than 5 degrees. 2) The turbine yaw signal must be calibrated prior to the beginning of the measurement campaign; the uncer-tainty of the turbine yaw signal should be less than 5 degrees. The apparent relative wind direction measured with the lidar shall be reported as a function of the turbine yaw. In case the apparent relative wind direction shows that the lidar measures in the wake of another turbine or obstacle (if there is a sudden change of relative wind direction (see Figure 6) or a sudden change in the difference between the radial speed turbulence intensity of the two lines of sight with yaw direction (see Figure 7)), the available measurement sector shall be reduced by at least 5 degrees from the wake sector. If the lidar s inclinometers are used to set the lidar orientation (pre-tilt is mentioned in Annex A and roll is set to 0) during the mounting, these inclinometers must be calibrated prior to the mounting of the lidar on the turbine accord-ing to recommendations in Calibrating nacelle lidars. The tilt and roll angles shall be recorded during the power curve measurement to measure the lidar tilt angle and to derive the deviation in measurement height. The lidar shall be mounted so that the measurements take place as close as possible to hub height. During the operation of the wind turbine, the measurement height is allowed to be within +/-2.5% of hub height, Air density shall be derived from the measurement of air temperature, and air pressure. The air temperature sen-sor shall be mounted within 10 m of the nacelle. It should preferably be mounted atop the turbine nacelle to give a good representation of the air temperature at the WTGS rotor centre. The air pressure sensor should be mounted below the swept rotor area to give a good representation of the air pressure. It can be mounted at the bottom of the tower. The air pressure N/A 11 N/A 12 Ok, same wind direction reconstruction. Ok, same calibration methodology. Ok, inclinometer data recorded in data files. 12 13 13 Ok, same as with 2-beam. 13 N/A 14 Page 6 sur 12

measurements shall be corrected to the hub height according to ISO 2533. The recommendations concerning humidity should follow IEC 61400-12-1:2005. The pressure and the humidity may be measured at the tower bottom, outside the tower. The turbulence intensity, defined as the standard deviation of the wind speed divided by the mean wind speed shall be measured and reported. This turbulence measured by the nacelle lidar is not the same as the turbulence #29 meas-ured by a cup anemometer but can still provide relevant information of relative nature. Typically the turbulence measured by a nacelle lidar tracking the wind direction is between 60% and 90% of the turbulence intensity meas-ured by a cup anemometer. DATA FLOW Wind speed, yaw direction, turbine status signals and turbine power data shall be collected as continuously as pos-sible. To make sure the time between two consecutive lidar beam #30 measurements is acceptable, the data with a too low rotor RPM should be excluded. Air temperature, air pressure, and precipitation (if measured), may be sampled at a slower rate, but at least once per minute. The lidar and the data acquisition system used for #31 the other channels (power, yaw, pressure, and temperature) must be synchronised within 10 seconds. #32 Selected data sets shall be based on 10-min periods derived from contiguous measured data To ensure that only data obtained during normal operation of the turbine are used in the analysis, and to ensure data are not corrupted, data sets shall be excluded from the database under the following circumstances: external conditions other than wind speed are out of the operating range of the wind turbine; Ok, same turbulence intensity reconstruction. 14 N/A 14 Ok, synchronization via NTP (same as 2-beam) or GPS (new). 14 Ok. 14 #33 turbine cannot operate because of a turbine fault condition; turbine is manually shut down or in a test or maintenance operating mode; failure or degradation (e.g. due to icing or fog) of test equipment; wind direction outside the measurement sector(s) as defined in 4.3; N/A 15 Page 7 sur 12

#34 Rejection criteria for lidar data:. 15 #34-1 #34-2 Low lidar availability. Require for example lidar RWS availability >T%4, which corresponds to the ratio be-tween the number of valid radial wind speed measurements and the total number of expected measure-ments in 10 minute. It is given for each line of sight (RWS0 availability and RWS1 availability).the thresh-old T has to be determined so that it does not remove the low wind speed data, see Figure 9. It may de-pend on the average background aerosol level. The same threshold should be applied to both lines of sight In order to avoid large gaps due to one blade standing in front of the laser beam, low generator rotation speed should be removed. The data with a 10 minute minimum RPM below a threshold, TRPM, should be discarded. The threshold TRPM depends on the turbine characteristics and should be chosen so that all wind speed bins necessary do derive the bin averaged power curve remain after filtering (see example in Figure 10). Ok, RWS availability is available for each LOS in data files. 15 N/A 15 #34-3 Lidar failure. N/A 15 DERIVED RESULTS The measurement of the air density depends on the measurement of the temperature, humidity #35 and atmospheric pressure. The air density and the data normalization shall be calculated as in IEC 61400 12-1:2005 chapter 2 The measured power curve is determined by #36 applying the method of bins for the normalised dataset as this is de-scribed in IEC 61400 12-1:2005. The turbine s AEP shall be estimated by applying the measured power curve to different reference #37 wind speed fre-quency distributions. The method shall follow the description in IEC 61400 12-1:2005, equation 6 and 7. #38 The power coefficient shall be reported in line with the reporting described in IEC 61400 12-1:2005. UNCERTAINTY #39 #40 Category A uncertainties in electrical power, climatic conditions and site calibration shall be estimated as described in IEC 61400-12-1:2005 Catergory B uncertainty in data acquisition, electrical power and air density shall be estimated as described in IEC 61400-12-1:2005 N/A 16 N/A 16 N/A 16 N/A 16 N/A 16 17 Page 8 sur 12

#41 #41-1 #41-2 The uncertainty of the wind speed measurement is a combination of the following uncertainty components uv1,i: calibration uncertainty (derived from the lidar calibration, see Calibrating nacelle lidars report) uv2,i: Uncertainty related to variation in terrain topography: If the terrain complies to the requirements given in the report: Calibrating nacelle lidars, in IEC 61400-12-1:2005, the flow distortion due to the terrain is determined as 2 or 3% depending on the measurement range from the turbine rotor. 17 Ok, same calibration procedure. 17 N/A 17 #41-3 uv3,i.: uncertainty due to mean measurement height The 10 min average measurement height shall be within hub height +/- 2.5%5, at the targeted distance. o If not within +/- 2.5% of hub height: 1) Reject data outside the range (based on 10 min values) or 2) The tilt of the turbine can be translated to a height at which the wind speed measurement took place. For wind speed bins with an average measurement height outside the allowed range, calculate the difference between the closest range limit (hub height +/- 2.5%) and the mean measurement height plus or minus σ/2 depending on the direction of the deviation (if the mean value is higher than +2.5% then σ/2 shall be added, otherwise it will be subtracted) for that bin, and derive the corresponding wind speed error assuming a power law with a shear exponent of 0.2. The uncertainty is obtained by dividing the error by 3: Ok, height of measurement is available in data files, based on information from the calibrated inclinometer. 17 #41-4 uv3,i=(ui,m ui,b)/ui,b 3 Where ui,m is the averaged measured wind speed and ui,b the wind speed extrapolated to the closest range boundary: 97.5% of hub height or 102.5% of hub height. Uncertainty of the tilt angle measurement ut1 and uncertainty from the tilt of turbine during lidar mounting ut2, which depends on the wind conditions, positioning of the nacelle and nacelle roof deformation. The angle uncertainties ut1 and ut2 (in degrees) are converted in an uncertainty in measurement height at the measurement range used for the power curve measurement (R): ΔH=R tan(ut1+ut2) Ok, calibrated inclinometer 17 Page 9 sur 12

REPORT Finally, it is converted to a wind speed uncertainty assuming a power law profile with a shear exponent of 0.2: uv4,i=1 3 zh+δzzh 0.2 1 vi where zh is the hub height and vi the mean wind speed in the bin i. An identification of the specific wind turbine #42 configuration under test as this is described in IEC 61400 12-1:2005 A description of the test site as described in IEC #43 61400 12-1: 2005. Parts which refer to site calibration are not relevant for the nacelle anemometer power curve. A description of the arrangement of the nacelle #44 lidar including description of the relevant dimensions and height distances from the nacelle top, and inclination angles #45 A description of other equipments and their location above mean sea level. Identification of the sensors and data acquisition #46 system, including documentation of calibrations for the sensors transmission lines, and data acquisition system Description of a method of how to control the lidar calibration relative to a nacelle mounted cup for #47 the test duration. Alternative offer a description of the method to confirm the reliability of the lidar calibration af-ter the end of the test period description of the measurement procedure as #48 described in IEC 61400 12-1:2005 as defined in chapter 2. Presentation of measured data as described in IEC 61400 12-1:2005 as defined in chapter 2; in tilt vs wind speed (including mean, minimum, maximum and stdv val-ues) Ok, all information available. 19 Ok, equivalent to 2-beam Wind Iris 19 #49 (including mean, minimum, maximum and stdv values) to hub height vs wind speed(including mean, minimum, maximum and stdv values) wind speed, for both lines of sight the lidar vs wind speed Ok, all data available in data files. 19 #50 sonic Presentation for power curve for air density at sea level and for the site specific air density level in line with IEC 61400 12-1:2005 as defined in Page 10 sur 12

#51 #52 #53 #54 #55 chapter 2. Presentation of the power curve collected under special operational conditions will be reported in line with IEC 61400 12-1:2005 as defined in chapter 2. To document the function of the nacelle lidar under special atmospheric conditions (e.g. rain), the relation of the nacelle lidar to the nacelle cup anemometer shall be documented Presentation of the estimated AEP for air density at sea level and for a specific air density corresponding to the site specific air density, shall take place in line with IEC 61400 12-1:2005 as defined in chapter 2. Presentation of the measured power coefficient shall be in line with IEC 61400 12-1:2005 as defined in chapter 2. The uncertainty of the measurement will take place in line with the relevant chapter of this document. Any deviations from the requirements of the measurement will be documented and reported in a separate clause. N.A 19 Page 11 sur 12

3. CONCLUSION All requirements from the EUDP are fulfilled using the Wind Iris 4-beam in its 2-beam mode, most of them in the same way as with the Wind Iris 2-beam. In addition, the Wind Iris 4-beam brings additional functionalities or ease of use compared to the 2-beam Lidar. In conclusion, it is possible to use a Wind Iris 4-beam Lidar to measure a power curve according R. Wagner, R. L. Rivera et all. Procedure for wind turbine power performance measurement with a two-beam nacelle Lidar. DTU wind. 2013. E-0019., hereafter referred to as EUDP procedure. This requires very little adapation compared to using a Wind Iris 2-beam as all parameters are reproduced. Page 12 sur 12