Elliot Simon DTU Wind Energy RISØ ellsimdtudk IBL WiSH Guillaume Lea Background DTU has developed a series of lidar instruments which can be used for turbine wake measurements Overview of upcoming lidar wake experiments at DTU ID: 795683
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Slide1
Overview of upcoming lidar wake experiments at DTU
Elliot SimonDTU Wind Energy (RISØ)ellsim@dtu.dk
IBL WiSH, Guillaume Lea
Slide2Background
DTU has developed a series of lidar instruments which can be used for turbine wake measurements:
Overview of upcoming lidar wake experiments at DTU
SpinnerLidar
Long-range WindScanner
Short-range WindScanner
Slide3Three upcoming projects:Overview of upcoming lidar wake experiments at DTU
Wind Farm Control Trials (Elliot Simon, ellsim@dtu.dk
)TotalControl (Gunner Larsen, gula@dtu.dk)Risø V52 Wake Study (Torben Larsen,
tjul@dtu.dk
)
Selected completed work:
Sandia
SWiFT
wake experiment (Vestas V27)SpinnerLidar with coupled LINCOM flow solverTorben Mikkelsen (tomi@dtu.dk)Perdigão 2015 and 2017 (Enercon E-82)2D/3D wake measurements in complex terrain using LRWS
Nikola Vasiljevic (niva@dtu.dk)
Slide4Wind Farm Control TrialsOverview of upcoming lidar wake experiments at DTU
Overall goal:Demonstrate optimized farm-level operation using wake redirection strategies, and compare to simulation benchmarks (HAWC2, PossPow, Fuga, ECN FarmFlow)
Field experiment:One year-long demonstration at a large offshore wind farm (regular layout) in the UKInstrumentation: One scanning lidar (WindCube 400S),8 x WindEYE
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
Slide5TotalControlOverview of upcoming lidar wake experiments at DTU
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 marketsTwo field campaigns:Scotland: Samsung 7MW test turbine2 x SpinnerLidars (one forward, one rear facing) Outcome: 3-component inflow and wake using coupled lidar-LINCOM method (linearized flow solver for mass and momentum)
Sweden: Lillgrund offshore wind farm
2 x long-range
WindScanners
mounted on WTG transition pieces
Outcome: Space & time synchronized dual-Doppler measurements of the wakes behind selected turbine rows
Slide6Risø V52 Wake Study Overview of upcoming lidar wake experiments at DTU
Overall goal:Create a high resolution dataset for wake model validation and research
Field experiment:2 month measurement campaign of DTU’s V52 research turbine at RisøInstrumentation: 3 x new 6” SRWS, 2 x SpinnerLidars, LRWS, sterovision cameras, strain gaugesOutcome: Highly resolved flow field up and downstream of the turbine. Blade deformation from stereovision, tower loads, and SCADA
Slide7RecommendationsOverview of upcoming lidar wake experiments at DTU
Scan inflow as well as wake. Inflow measurements are very important for flow modellingFor 2D wake, measure as close to horizontal as possible
Include temperature measurements for stability classificationHybrid 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 distanceGet in touch if you’d like to discuss anything!