Elliot Simon lt ellsimdtudk Observations lead the way Inflow measurements from Doppler lidar give temporal and spatial information about wind field behaviour upstream ID: 795682
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Lidars Lifted: The Østerild Balconies Experiment
Elliot Simon <
ellsim@dtu.dk
Slide2Observations lead the way
Inflow
measurements from Doppler lidar give temporal and spatial information about wind field behaviour upstream of the turbineSome uses:Predictive turbine/farm control (yaw position, active power)Very short term energy production forecasts(dispatch, grid balancing)Extreme load avoidance (gusts, veer/shear)Blade impact erosion (hail, birds, heavy rain)
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Slide3Experiment Overview
Scientific questions:
Are horizontal wind field gradients homogeneous?
Can we measure and characterise terrain effects?Can we do anything meaningful with the inflow data?Horizontal scanning at 2 heightsPhase 1: 50m AGLPhase 2: 200m AGL4.25km distance between scannersPatchy forested terrain3V164-8MW (
Slide4Site description: Terrain + tree height (m)
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Slide5Lifting procedure
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https://www.youtube.com/watch?v=ZnkCuZG22YU
Do you even lift?
Slide6Scan trajectory overview
Slide7Dual Doppler transect line
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Points on transect line are synchronised in time (not exactly in space)
Sampling rate = 49s (0.02 Hz)
Slide8Introduction to plots
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PPI videos
CNR filter (>-27 dB)
Slide9Westerly gust (phase 2)
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Gust is detected 10 minutes upstream
(4 → 11 m/s, cut in to rated power)
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Frontal boundary pass through (phase 1)
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Dual Doppler reconstruction of frontal event
Slide12Mast data of event (June 6, 2016, 7PM CEST, UTC+2)
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Slide13Conclusions
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400S EDFA gave
consistant 7km rangePPI scaning is probably enough for determining upstream conditions on 10 min scalesUpstream measurements do give useful information!Gust captured and tracked towards the ”turbine” over 10 minsColliding air masses observed over 2 hours with sudden extreme shear