Comments on “Wind Gust Detection and Impact Prediction for Wind Turbines”

Mayor, Satyajit; Dérian, Pierre

doi:10.3390/rs10101625

Cited by 1 publication

(1 citation statement)

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“…Mayor and Dérian [26] refuted statements in Zhou [25] that argued on impracticality of motion estimation methods to derive two-component vector wind fields from single scanning aerosol lidar data. Two image-based motion estimation methods, namely the cross-correlation and wavelet-based optical flow methods, were demonstrated to be also practical to use for wind gust detection and impact prediction on wind turbines.…”

Section: Overview Of Contributionsmentioning

confidence: 98%

Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications”

Hasager

Sjöholm

2019

Remote Sensing

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This Special Issue hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. The wind lidar technology is presented from a theoretical view on the coherent focused Doppler lidar principles. Furthermore, wind lidar for applied use for wind turbine control, wind farm wake, and gust characterizations are presented, as well as methods to reduce uncertainty when using lidar in complex terrain. Wind lidar observations are used to validate numerical model results. Wind Doppler lidar mounted on aircraft used for observing winds in hurricane conditions and Doppler radar on the ground used for very short-term wind forecasting are presented. For the offshore environment, floating lidar data processing is presented as well as an experiment with wind-profiling lidar on a ferry for model validation. Assessments of wind resources in the coastal zone using wind-profiling lidar and global wind maps using satellite data are presented.

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Section: Overview Of Contributionsmentioning

confidence: 98%