Integrated Research Programme on Wind Energy

Transcription

1 Integrated Research Programme on Wind Energy Project acronym: IRPWind ScanFlow Grant agreement n o Collaborative project Start date: 01 st June 2016 Duration: 9 months Title: Infrastructure project: IRPWind ScanFlow Work Package 3 Joint Experiments Lead Beneficiary: DTU (DTU and ECN) Delivery date: 28 th February 2017 Dissemination level: PU Authors: J. W. Wagenaar, G. Bergman, I. Alting (ECN), C. Hasager, T. Mikkelsen, N. Angelou, M. Sjöholm (DTU) The research leading to these results has received funding from the European Union Seventh Framework Programme under the agreement GA

2 Joint Programme on Wind Energy ScanFlow EERA EUROPEAN ENERGY RESEARCH ALLIANCE Joint Programme on Wind Energy Dissemination Report on Joint Experiment 2 Contact persons: Jan Willem Wagenaar j.wagenaar@ecn.nl Charlotte Hasager cbha@dtu.dk February 28 th, 2017

3 Participating Organizations in experiment; DTU Denmark University ECN Netherlands Research Institute Title: ScanFlow Publication date 28 th February 2017 Authors: J. W. Wagenaar Abstract (max char.): This report summarizes the dissemination done for the first open call IPRWind experiments entitled: High-resolution full-scale wind field measurements of the ECN s 2.5 MW aerodynamic research wind turbine using DTU s 3D WindScanner and SpinnerLidar for IRPWind s and EERA s benchmark (ScanFlow)

4 CONTENTS Summary 5 1 Introduction Motivation Background European alignment Organization 7 2 Project details summary Framework Full title Applicants, Facilities and Users Aim Scope Project results Main deviations 9 3 Campaign ECN test site facility Meteorological mast Ground-based lidar SpinnerLidar Short range windscanners 13 4 Proof of concept 15 5 Final public database Public database 16 6 Dissemination 16 7 Acknowledgement 17 8 References 17 9 Contact Points 19 4

5 Summary In the framework of the IRPWind 1st call for joint experiments DTU and ECN have executed the ScanFlow project. ScanFlow is short for High-resolution full-scale wind field measurements of the ECN s 2.5 MW aerodynamic research wind turbine using DTU s 3D WindScanner and SpinnerLidar for IRPWind s and EERA s benchmark. The project started June 1 st, 2016 and ended February 27 th, 2017 (9 months). The aim of the project was to establish a unique turbine power performance and induction zone benchmark experiment by operating a DTU developed highresolution nacelle integrated 2D SpinnerLidar installed at a 2.5MW ECN research wind turbine. The benchmark will be available through an open access e-science platform also beyond project time. In order to meet this objective a measurement campaign was carried out from the 16th of December 2016 until the 20th of February 2017 comprising meteorological mast measurements, ground- based vertical profiling lidar measurements, turbine SCADA data, SpinnerLidar measurements and short-range WindScanner measurements. The SpinnerLidar operated from December 16th to 28th, 2016 (stopped due to power loss) and from January 16th to February 16th, All other instruments except the ground-based WindScanners worked continuously. The short-range WindScanners have been measuring during mid-january 2017 to mid- February 2017 when the wind direction was appropriate, i.e. in between 185o and 245o. These events occurred on January 29th, February 4th and 5th, All data are publically available and can be downloaded via the website Here, in the tab Download clear instructions are provided. 5

6 1 Introduction 1.1 Motivation Wind turbines are being designed based on models and these models are as good as the reference measurement dataset with which they are validated. Therefore, a significant improvement in the accuracy of the reference wind measurements will result in a significant improvement in the accuracy of the models. In this ScanFlow project, ECN and DTU have taken up the challenge to very accurately measure the inflow wind field of a research turbine at the ECN test site with various DTU scanning lidars and to make this unique dataset available to the research community for model validation within the framework of IRPWind and EERA Joint Programme on Wind Energy. 1.2 Background Concurrently, three ground-based short-range WindScanners from DTU were deployed to perform 3D wind velocity field observations. Previous efforts on measuring the inflow induction zone upwind of turbines include the Vestas V27 at Risø [1, 2], the NM80 wind turbine at Tjæreborg [3] and NEG Nordtank 40 at Risø [4, 5] to provide prevision of the inflow in an upwind vertical plane. Turbulence along one line transect can be obtained from 1Hz data. The rotor plane equivalent wind speed can be reverse- calculated to wind speed from wind power production at 1Hz fast production data [6, 7] and compared to WindScanner turbulence observations [8] as well at turbulence data from a meteorological mast. The inflow observed from turbine-mounted lidars is of utmost importance for control of turbines and can be used for load calculation. The innovative aspect of the work conducted in this project, involving detailed 2D and 3D inflow wind scanning is very high. Recently it has been experimentally demonstrated that a lidar-based feed-forward control can reduce loads and pitch activity by high factors and in certain cases more than by 60%. The impact, technologically as well as economically, achievable from integrating nacelle or spinner lidar for advanced feed-forward wind turbine control is immense: Recently, it has been experimentally demonstrated [9, 10] that lidar-based feed-forward control can reduce tower bending moment loads and pitch activity by factors of 50% to 30% respectively. Prognoses for turbines equipped with lidarassisted reduction in wind load foresees to be able to prolong the turbine life time by 30 % giving LCoE of 6% and in some cases an expected life time extension of as much as + 6 years [11]. The latter study shows that through lidar-assisted improvements in yaw and gust tracking, an installed 2.5 MW turbine face slower turbulence losses and an expected increase in power capture, which in below rated winds would yield a gross AEP increase of 0.6% for the assumed wind speed distribution. Additionally, a decrease in blade and tower fatigue loads (the assumed design life driving loads) are expected to extend the turbine useful life from 20 to 26 years, allowing an additional 30% energy capture over the life of the turbine. Further, a decrease in traditional O&M costs is expected due to fewer component failures as a product of reduced dynamic loads, yet there is also an additional annual O&M cost for maintaining the lidar itself. Because the cost to maintain the lidar is greater than the O&M cost savings 6

7 due to reduced failures, the annual average O&M cost increases 16% over the base case, cf. reference [11]. 1.3 European alignment The joint experiment using the research wind turbine facility at ECN test site [12] in combination with the newly developed WindScanner research infrastructure at DTU combines efforts within WP3 of the IRPWIND core project. The links to the EERA Wind Energy sub-programmes Aerodynamics and Wind Conditions are very strong. In both Sub-programs there is high priority on improved inflow wind fields measurements and modelling. Within the Aerodynamics sub-program new types of data, e.g. from WindScanner, are particularly important for understanding atmospheric flow and aerodynamics for very large rotors. Flow at large wind turbines but without accessible WindScanner data are investigated in the on-going EU AVATAR project as well as EU INNWIND. The results from the joint experiment will link to both of these. Within Wind Conditions the coupling between meso- and micro-scale models and the progression from siting to loads are very important challenges. At DTU the recently established cross-cutting activity Wind2Loads need data to verify advanced modelling while the joint ScanFlow experiment (on flat land) will be complementary to field data from the New European Wind Atlas (NEWA) ERANET project that has focus on detailed inflow description in complex terrain and coastal areas. 1.4 Organization In this final report the main results are highlighted. It is organized as follows: in Chapter 2 the project details are summarized and in Chapter 3 the measurement campaign is described in detail. 2 Project details summary 2.1 Framework This ScanFlow project is initiated in the framework of FP7 IRPWind work package 3 Research Infrastructure s 1 st call for joint experiments, particularly in the area of research wind turbines. 2.2 Full title The full title of the project is High-resolution full-scale wind field measurements of the ECN s 2.5MW aerodynamic research wind turbine using DTU s 3D WindScanner and SpinnerLiDAR for IRPWind s and EERA s benchmark 2.3 Applicants, Facilities and Users In this project ECN is the access provider to the facility ECN Wind turbine Test site Wieringermeer (EWTW) and DTU is the user and the main applicant. 7

8 2.4 Aim The aim is to establish a unique turbine power performance and induction zone benchmark experiment by operating a DTU developed high-resolution nacelle integrated 2D SpinnerLidar installed at a 2.5MW ECN research wind turbine. The ScanFlow project will provide a state-of-the-art inflow dataset useful for evaluation of aerodynamic models ranging from engineering-like up to computational fluid dynamics models, models of the inflow and induction zone. The joint experiment will provide experimental data for a proof-of concept testing of the new advanced software for wind reconstruction using the LINCOM model based on the anti-cyclop buster methodology program extracting all three wind components of the inflow in front of the rotor from a single Spinner lidar. The true ground-based measurements of the three wind speed components (u,v,w) from the three short-range WindScanners will serve as a validation dataset. The benchmark will be available through an open-access e-science platform also beyond project time. 2.5 Scope To achieve the above defined aim the following work packages was defined 1. Prepare the WindScanner at DTU for the experiment. 2. Prepare installation at ECN field site and plan technical details. 3. Experimental campaign, installation of instruments and continued monitoring of the nacelle-based WindScanner for six weeks, uninstall and ship back. 4. Experimental campaign, installation and continued work on using the three ground-based WindScanners for two weeks, uninstall and ship back. 5. Post-processing of collected data as proof of concept for three wind components from nacelle-based WindScanner. 6. Establish public database from wind turbine and WindScanner data and announce it at workshops. 2.6 Project results In the table below an overview is provided on what the Key Performance Indicators (KPIs), Milestones and Deliverables are within the project and to what extent they have been achieved. Planned project results Achieved Comments KPIs/Milestones 6 weeks of SpinnerLidar measurements Yes 2 weeks of short-range WindScanner measurements 6 weeks of turbine, meteorological mast and ground-based vertical profiling lidar data Yes Yes Public database Yes Download scheme in 8

9 Deliverables D1: SpinnerLidar and short-range WindScanners ready for experiment Yes D2: Measurement plan published Yes ECN-Wind [14] D3: Report on experiment and proof of concept Yes/Alterna tive solution D4: Final workshop Alternative solution IRPWIND ScanFlow final report on the experiment and the proof of concept (part of this report). The public database is announced at the DeepWind 2017 [15] conference and in the IRPWind newsletter [16]. It is made available via the website with clear instructions and project information. D5: Final project report Yes IRPWIND ScanFlow 4-page report 2.7 Main deviations The project was proposed and planned already in the application. In reality things may go differently. Below the main deviations from the plan are indicated It was anticipated to execute the campaign on turbine N6. Due to conflicting projects the campaign was executed on turbine N9. Because meteorological mast 3 is much further away from N9 as it is from N6, i.e. further than the preferred 2.5 rotor diameters, an additional groundbased lidar was introduced and installed. The campaign was aimed to start in September Due to preparation issues with the DTU WindScanner equipment, the campaign was postponed and started in December Due to the indicated issues, the project end date was postponed from the 31 st of December 2016 to the 28 th of February No separate report on the experiment and the proof of concept was made. This content is part of this report. It was aimed to have a final workshop in which the database was going to be presented. Alternatively, a public website with a data download scheme and clear instructions is created. This website was announced at the EERA DeepWind 2017 conference in Trondheim [15] and in the IRPWind newsletter [16]. 3 Campaign 3.1 ECN test site facility The ECN Wind turbine Test site EWTW is an infrastructure that allows for full scale wind turbine and wind farm related research, development and technology. The test site consists of flat, agricultural terrain with single farm houses and occasionally rows of trees. The site, near Lake Ijsselmeer and near the town Wieringerwerf, is 9

10 about 50 km north of Amsterdam and about 30 km east of the ECN offices in Petten. The average wind speed at 80 m is 7.5 m/s and the main wind direction is South- West. Figure 1 shows the site. The site comprises 5 modern, full scale research turbines with a hub height and rotor diameter of 80 m and rated power of 2.5 MW. The turbines are oriented in a row from West to East, labelled N5 to N9, with a spacing of 3.9 rotor diameters. Turbine N9 is the turbine under test [18]. Figure 1. Photo of the wind turbines and meteorological mast (left) and Google Earth map (right) including turbine N9, meteorological masts, short range windscanners (R2D1, R2D2, R2D3) and ground based LiDAR WindCube V2. About 1.6 km south of the research turbine row is a row of 6 prototype locations, also oriented from West to East. These locations are used by turbine manufacturers to develop their prototype turbines. The current turbines have rotor diameters ranging from about 100 m to 120 m and a rated power ranging from about 2 MW to 5 MW. Five fully IEC compliant meteorological masts of over 100 m support the development of the prototype turbines. In between the two rows of turbines a measurement pavilion is located. This pavilion hosts offices for the manufacturers, a dressing room for engineers and a meeting room. In addition, measurement data from the entire test site is gathered, here, using a fiber optical network. On a daily basis these measurement data are transported to the ECN offices in Petten. Data are made available to the relevant community through a dedicated database. The ECN test site facility offered the opportunity to execute the measurement campaign by making available a research turbine, a meteorological mast, glass fiber network for data gathering and a measurement pavilion for meetings, support personnel etc. The test site facility made agreement with the farm land owners and granted access to the facility. Operation support was offered in setting up and executing the campaign for the period December 2016 until February The agreements made between all parties, i.e. ECN test site facility, ECN Wind Energy Systems and DTU Wind Energy are elaborated in the User Agreement [19]. 3.2 Meteorological mast 3 A fully IEC compliant and 108 m high meteorological mast is located directly south of turbines N5 and N6 and at a distance of 1017 m (12.7D) of turbine N9 and at an 10

11 angle of 265 degrees with respect to North. It is used to characterize ambient conditions. At 52 m the mast has 3 booms oriented at 0, 120 and 240 degrees. The 120 and 240 degree booms host a cup anemometer and a wind vane; the 0 degree boom hosts a sonic anemometer. This same layout also applies at 80 m height. In addition, air temperature, humidity and pressure are measured at 80 m. In the top a sonic anemometer measures the wind at 109 m and the temperature difference is measured between 10 m and 37 m. For more details reference is made to [18]. Meteorological mast measurements are available for the entire ScanFlow campaign period. 3.3 Ground-based lidar A ground-based lidar WindCube V2 is placed at 200 m from the turbine and at an angle of 81 degrees. The lidar primarily measures 10 minute averaged horizontal wind speeds, vertical wind speeds, wind directions at 40 m, 50 m, 60 m, 70 m, 80 m, 90 m, 100 m, 110 m, 120 m and 130 m. All the data are available during the entire campaign. Figure 2 shows the lidar. Figure 2. WindCube V2 vertical profiling wind lidar at ECN test site. 3.4 SpinnerLidar The SpinnerLidar was installed with a dedicated crane on the top of the nacelle cooler of the turbine on 16 th of December In order to do so a dedicated frame was made. The central measurement point of the lidar is about 2.9 m above hub height and about 8.0 m behind the turbine s rotor. It was tilted about 5 degrees downward to account for turbine tilting such that the central axis of the SpinnerLidar become horizontal and the SpinnerLidar was focused at around 0.8D in front of the turbine. The SpinnerLidar was dismantled on the 16 th of February Valuable SpinnerLidar data is available from December 16 th to 28 th, 2016 and January 16 th to February 16 th, 2017 (due to power loss a gap in data occurred end of December). 11

12 Figure 3. Photo of the SpinnerLidar on the wind turbine Scanning pattern Figure 4. Drawing of one full scan of the SpinnerLidar performed in a 1-sec period (left). A 1-sec time series of the y and x axis of the scanning plane of the SpinnerLidar (right). The SpinnerLidar was scanning a 2D spherical plane in front of the wind turbine at a distance of 63 m in front of the wind turbine s rotor. While scanning the SpinnerLidar was acquiring measurements of the radial component of the wind vector at a sampling rate of exactly Hz. An example of a 1-min mean scan is presented in Figure 5. Measurements originated by the wind turbine blades and nacelle have been filtered out [5]. 12

13 Figure 5. Example of a 1-min scan of the inflow wind from the SpinnerLidar. 3.5 Short range windscanners The short-range WindScanners were installed in the field between the 18 th and the 20 th of January The positions where the short-range WindScanners were placed is presented in Figure 6, in a coordinate system whose y-axis is aligned to the direction of 235 o, the predominant wind direction of the area. Figure 6. Drawing of the experimental setup top view where the position of the three short-range WindScanners (black dots), the virtual met mast (blue dot) and the trace of the scanning plane of the SpinnerLidar (red arc) are depicted. The three short-range WindScanner had the objective to provide data that could be used for the validation of the reconstruction method of the complete wind field from the SpinnerLidar data. For this purpose they were programed to a scan mode that would simulate a virtual met mast, extending from 10 m to 130 m (see Figure 7). 13

14 Figure 7. Plot of the scanning pattern performed by the three short-range WindScanners. In the database each line is indexed with a different number. The WindScanners were operated only when the wind was from185 o to 245 o. During the following time intervals valuable data were captured (see table below) and Figure 9. It has to be noted that the two computers of the SpinnerLidar and of the short-range WindScanner were not synchronized. A 4-minute lag between the shortrange WindScanner data relative to the SpinnerLidar data is expected. Run [-] Start (YYYY-MM-DD HH:MM:SS) End (YYYY-MM-DD HH:MM:SS) :09: :00: :56: :00: :12: :00:00 Time of three ground-based short-range WindScanner data periods. Figure 8. The short range scanner were dismantled on the 21 st of February

15 Figure 9. Measurements from SpinnerLidar (blue line) and three ground-based short-range WindScanners (red line) at ECN test site in Proof of concept All the necessary data for the proof-of-concept testing of the new advanced software for wind reconstruction using the LINCOM model based on the anti-cyclop buster methodology program [22] will be applied. The idea of the latter is to extract all three wind components of the inflow in front of the rotor from a single Spinner lidar. Comparing the result with the true ground based measurements of the three wind speed components (u,v,w) from the three short-range WindScanner lidars will serve as a perfect validation case. Full 3D Rotor Plane Wind Field Measurements from a turbine-nacelle mounted scanning SpinnerLidar. The DTU SpinnerLidar installed on the nacelle of the N9 turbine scanned the line-of-sight projected wind components at multiple points in the inflow in front of the ECN N9 test wind turbine. From the nacelle of the N9 ECN Nordex N MW test turbine the DTU SpinnerLidar provided 400 measurements per second of line-of-sight inflow in the rotor plane from a distance of 65 m upwind of the turbine. However, since the wind velocity is a 3-dimensional vector, a single lidar will from a fixed position in principle never be able to measure all three wind components at the same time in the measurement point. This limitation is often referred to as the Lidars Cyclops syndrome with hinted reference to the one-eyed Cyclops in ancient Greek mythology. The objective of the ScanFlow project is to investigate if multiple-beam measurements of line-of-sight (LOS) wind speeds from a single lidar in combination with a 3D wind field CFD model are able to reconstruct the true 3D wind field in front of the turbine. During ScanFlow, to evaluate this hypothesis experimentally, also the true 3D wind field was measured from the ground at the same time. On the ground in the field to the southwest of the N9 turbine DTU and ECN also installed and operated the set of three trajectory-coordinated and synchronized shortrange WindScanners, able to measure the true 3D wind velocity vectors aloft. Within the scanned area of the SpinnerLidar also vertical wind velocity profiles were scanned to heights of 120 meters from the three ground-based WindScanners. The WindScanner virtual met-mast for profile scanning was also established at a distance of 65 m in front of the SpinnerLidar equipped N9 test turbine. 15

16 As a result of ScanFlow a data base has now been achieved containing simultaneous measurements of 1) the true 3D wind velocity vector, and 2) line-of-sight SpinnerLidar measurements. With this experimental data set it now remains to investigate to what degree the SpinnerLidar measurements in combination with the Cyclops wind field reconstruction algorithm [22] can provide 3D wind velocity vector field in the rotor plane. This can now be done by inter-comparison of the ScanRidge measurements and results with the true 3D wind velocities measured simultaneously by the three ground-based short-range WindScanners. 5 Final public database 5.1 Public database The measured data is being made available via the website The process of retrieving the data is described below: 1. Registration Go to website and click on DOWNLOAD Register as new user An is send to the new user Confirm the registration 2. Data selection Go to website and click on DOWNLOAD Fill out form and click Agree and request data (the NDA/DISCLAIMER is accepted) Data request is being considered 3. Data request evaluation The request is being evaluated by the project data maintainer/owner Deny. User receives with denial motivation Accept. User receives with a download link, which is temporarily valid Download the data 6 Dissemination On various occasions this project the results of the ScanFlow project have been disseminated. Below an overview is provided: At the IRPWind conference 2016 in Amsterdam (NL) during the Research Facilities session the ScanFlow project was orally presented [20]. At the DeepWind 2017 conference in Trondheim (NO) during the Experimental Testing and Validation poster session, both the ScanFlow project [21] and the ScanFlow Public database [15] were presented. 16

17 IRPWind newsletter [16] All project information is elaborated at the website It is anticipated that the ScanFlow project final evaluation will be done during the IRPWind general assembly in March Acknowledgement The skilled contributions from Nikolas Angelou, Charlotte Hasager, Søren William Lund, Torben Krogh Mikkelsen, Morten Busk Nielsen, Claus Brian Munk Pedersen, Alfredo Peña, Gregor Giebel and Mikael Sjöholm at DTU, and Ingmar Alting, Gerben Bergman, Gerard Schepers, Joep Stuart, and Jan Willem Wagenaar, at ECN are highly appreciated. The work described in this report has received support from IRPWind, a project that has received funding from the European Union s Seventh Programme for Research, Technology development and Demonstration. IRPWind is a part of EERA Joint Programme on Wind Energy. 8 References [1] Simley, E., Angelou, N., Mikkelsen, T. K., Sjöholm, M., Mann, J., & Pao, L. Y. (2016). Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars. Journal of Renewable and Sustainable Energy, 8(1), [013301] / [2] Wagner, R., A. Vignaroli, N. Angelou, A. Sathe, A. R. Meyer Forsting, M. Sjöholm, T. M. (2015). Measurement of Turbine Inflow With a 3D Windscanner System and a Spinnerlidar. DEWEK, doi: /cbo [3] Mikkelsen, T, Angelou, N, Hansen, KH, Sjöholm, M, Harris, M, Slinger, C, Hadley, P, Scullion, R, Ellis, G & Vives, G 2013, 'A spinner-integrated wind lidar for enhanced wind turbine control' Wind Energy, vol 16, pp , /we.1564 [4] Yazicioglu, H., Angelou, N., Mikkelsen, T Characterization of wind velocities in the wake of a full scale wind turbine using three ground-based synchronized WindScanners. Accepted for presentation at Torque 2016, Munich. October 2016 [5] Angelou, N., & Sjöholm, M. (2015). UniTTe WP3/MC1: Measuring the inflow towards a Nordtank 500kW turbine using three short-range WindScanners and one SpinnerLidar. DTU Wind Energy. (DTU Wind Energy E; No. 0093). [6] Bozkurt, T. G., Giebel, G., Poulsen, N.K., Mirzaei, M. (2014) Wind Speed Estimation and Parametrization of Wake Models for Downregulated Offshore Wind Farms within the scope of PossPOW Project. The Science of Making Torque from Wind 2014 doi: / /524/1/

18 [7] Bozkurt, T. G., Giebel, G., (2016) Estimation of Turbulence Intensity Using Rotor Effective Wind Speed in Lillgrund and Horns Rev-I Offshore Wind Farms, Renewable Energy (in review) [8] Branlard, E., Pedersen, A. T., Mann, J., Angelou, N., Fischer, A., Mikkelsen, T., Montes, B. F. (2013). Retrieving wind statistics from average spectrum of continuous-wave lidar. Atmospheric Measurement Techniques, 6, /amt [9] Bossanyi, E. A., & Kumar, A. (2012). Wind turbine control applications of turbine-mounted LIDAR. In Wind Turbine Control application of Turbinemounted LIDAR (pp. 1 10). Oldenburg. [10] Byrne, A., Mccoy, T., Briggs, K., & Rogers, T. (2012). Expected Impacts on Cost of Energy through Lidar Based Wind Turbine Control. EWEA 2012 (pp. 1 9). EWEA. [11] Kumar, A. A., Bossanyi, E., Scholbrock, A. K., Fleming, P. A., & Boquet, M. (2015). Field Testing of LIDAR Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600 kw Wind Turbine. EWEA [12] Wagenaar, J.W., S. Davoust, A. Medawar, G. Coubard-Millet and K. Boorsma, Turbine performance validation; the application of nacelle LiDAR, EWEA 2014, ECN-M , 2014 [13] Hasager, C.B., Wagenaar J.W., Application form ScanFlow project: Highresolution full-scale wind field measurements of the ECN s 2.5 MW aerodynamic research turbine using DTU s 3D WindScanner and SpinnerLidar for IRPWind s EERA s benchmark, IRPWind 1 st call for joint experiments proposal, April [14] Werkhoven, E.J., ScanFlow Measuring plan, ECN-WIND , January [15] Wagenaar, J.W. et al, IRPWind ScanFlow Public database, EERA DeepWind conference poster, ECN-L , January Poster available at [16] IRPWind newsletter [17] Wagenaar, J.W., Hasager, C.B., ScanFlow Final report, IRPWind ScanFlow WP3 deliverable, February 2017 [18] Eecen, P.J., Verhoef, J.P., EWTW Meteorological database; description June 2003 May 2007, ECN-E , 2007 [19] User Agreement Windturbine Testpak, User Agreement IRPWind ScanFlow Project, November [20] Hasager, C.B., Wagenaar, J.W., IRPWind ScanFlow project, IRPWind conference, ECN-M , September [21] Hasager, C.B. et al, IRPWind ScanFlow project, EERA DeepWind conference poster, January Poster available at [22] Astrup, P., Mikkelsen, T., van Dooren, M.F. (2015) Wind field determination from spinner lidar measurements by using the LINCOM method. (The lidar Cyclops syndrome bypassed: 3D wind field measurements from a turbine mounted lidar in combination with a fast CFD solver). Roskilde, Denmark, pp

19 9 Contact Points Technical University of Denmark DTU Wind Energy, Risø Campus Frederiksborgvej 399 DK-4000 Roskilde Denmark Technical Lead of experiment: Charlotte Hasager, DTU, Denmark Author of this document: Jan Willem Wagenaar 19

20 Version 1.0. This document will not be updated. This page is otherwise empty. European Energy Research Alliance Joint programme on Wind Energy Technical University of Denmark DTU Wind Energy, Risø Campus Frederiksborgvej 399 DK-4000 Roskilde Denmark Joint Programme Coordinator: Dr. Peter Hauge Madsen Head of Wind Energy Division Wind.dtu.dk