04297nam 2201129z- 450 991034667490332120231214133601.03-03897-943-0(CKB)4920000000094918(oapen)https://directory.doabooks.org/handle/20.500.12854/58171(EXLCZ)99492000000009491820202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRemote Sensing of Atmospheric Conditions for Wind Energy ApplicationsMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (290 p.)3-03897-942-2 This Special Issue “Atmospheric Conditions for Wind Energy Applications” hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. 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 is 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..complex flowFloating Lidar System (FLS)mesoscalewind energy resourcesvariational analysiswind turbinewind sensingwind energywind gustswakewind structurecomplex terrainglobal oceanremote sensing forecastingdetached eddy simulationfive-minute ahead wind power forecastingtropical cyclonesfetch effectaerosolvertical Light Detection and Rangingrange gate lengthresource assessmentfield experimentsremote sensingoptical flowturbulenceatmospheric boundary layerDoppler Wind Lidaroffshoreempirical equationLidarWindSATcoastal wind measurementoffshore wind speed forecastingDoppler wind lidarDopplerwindwind lidarcross-correlationQuikSCATwind resource assessmentdetecting and trackingsingle-particlegust predictionNWP modelvelocity-azimuth-display algorithmlidar-assisted control (LAC)Doppler lidarmotion estimationpower performance testinglidarlarge-eddy simulationswind farmcoherent Doppler lidarwake modelingprobabilistic forecastingcontrolNeoWinswind turbine controlsimpact predictionwind turbine wakeHazaki Oceanographical Research StationVADvirtual lidarDoppler radarIEA Wind Task 32ASCATwind atlasturbulence intensityHasager Charlotteauth1305936Sjöholm MikaelauthBOOK9910346674903321Remote Sensing of Atmospheric Conditions for Wind Energy Applications3028038UNINA