IBL Wi SH Guillaume Lea Overview of upcoming

IBL Wi. SH, Guillaume Lea Overview of upcoming lidar wake experiments at DTU Elliot Simon DTU Wind Energy (RISØ) ellsim@dtu. dk

Background � DTU has developed a series of lidar instruments which can be used for turbine wake measurements: Long-range Wind. Scanner Short-range Wind. Scanner Spinner. Lidar Overview of upcoming lidar wake experiments at DTU

Three upcoming projects: � Wind Farm Control Trials (Elliot Simon, ellsim@dtu. dk) � Total. Control (Gunner Larsen, gula@dtu. dk) � Risø V 52 Wake Study (Torben Larsen, tjul@dtu. dk) � Selected � Sandia completed work: SWi. FT wake experiment (Vestas V 27) � Spinner. Lidar with coupled LINCOM flow solver � Torben Mikkelsen (tomi@dtu. dk) � Perdigão 2015 and 2017 (Enercon E-82) � 2 D/3 D wake measurements in complex terrain using LRWS � Nikola Vasiljevic (niva@dtu. dk) Overview of upcoming lidar wake experiments at DTU

Wind Farm Control Trials � Overall goal: � Demonstrate optimized farm-level operation using wake redirection strategies, and compare to simulation benchmarks (HAWC 2, Poss. Pow, Fuga, ECN Farm. Flow) � Field experiment: � One year-long demonstration at a large offshore wind farm (regular layout) in the UK � Instrumentation: One scanning lidar (Wind. Cube 400 S), 8 x Wind. EYE 2 -beam lidars, 2 x tower load strain gauges � Scanning lidar deployed on substation to scan PPIs near hub height for inflow (spd+dir), turbulence characterization, wake position & deflection Overview of upcoming lidar wake experiments at DTU

Total. Control � Overall goal: � Develop integrated turbine and farm level control schemes (loads and production) to optimize plant revenue by dynamically managing WTG set points with input from markets � Two field campaigns: � Scotland: Samsung 7 MW test turbine � 2 x Spinner. Lidars (one forward, one rear facing) � Outcome: 3 -component inflow and wake using coupled lidar. LINCOM method (linearized flow solver for mass and momentum) � Sweden: � 2 Lillgrund offshore wind farm x long-range Wind. Scanners mounted on WTG transition pieces Overview of upcoming lidar wake experiments at DTU � Outcome: Space & time synchronized dual-Doppler

Risø V 52 Wake Study � Overall goal: � Create a high resolution dataset for wake model validation and research � Field experiment: � 2 month measurement campaign of DTU’s V 52 research turbine at Risø � Instrumentation: 3 x new 6” SRWS, 2 x Spinner. Lidars, LRWS, sterovision cameras, strain gauges � Outcome: Highly resolved flow field up and downstream of the turbine. Blade deformation from stereovision, tower loads, and SCADA Overview of upcoming lidar wake experiments at DTU

Recommendations � Scan inflow as well as wake. Inflow measurements are very important for flow modelling � For 2 D wake, measure as close to horizontal as possible � Include temperature measurements for stability classification � Hybrid pulsed/CW lidar setup is good for seeing near and far wake. Thorough calibration needed! � Use a turbine with small rotor, since CW lidar has limited measurement range and probe volume increases with distance � Get in touch if you’d like to discuss anything! Overview of upcoming lidar wake experiments at DTU