TY - BOOK ID - 50847953 TI - Remote Sensing of Atmospheric Conditions for Wind Energy Applications AU - Hasager, Charlotte AU - Sjöholm, Mikael PY - 2019 SN - 3038979430 3038979422 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - complex flow KW - Floating Lidar System (FLS) KW - mesoscale KW - wind energy resources KW - variational analysis KW - wind turbine KW - wind sensing KW - wind energy KW - wind gusts KW - wake KW - wind structure KW - complex terrain KW - global ocean KW - remote sensing forecasting KW - detached eddy simulation KW - five-minute ahead wind power forecasting KW - tropical cyclones KW - fetch effect KW - aerosol KW - vertical Light Detection and Ranging KW - range gate length KW - resource assessment KW - field experiments KW - remote sensing KW - optical flow KW - turbulence KW - atmospheric boundary layer KW - Doppler Wind Lidar KW - offshore KW - empirical equation KW - Lidar KW - WindSAT KW - coastal wind measurement KW - offshore wind speed forecasting KW - Doppler wind lidar KW - Doppler KW - wind KW - wind lidar KW - cross-correlation KW - QuikSCAT KW - wind resource assessment KW - detecting and tracking KW - single-particle KW - gust prediction KW - NWP model KW - velocity-azimuth-display algorithm KW - lidar-assisted control (LAC) KW - Doppler lidar KW - motion estimation KW - power performance testing KW - lidar KW - large-eddy simulations KW - wind farm KW - coherent Doppler lidar KW - wake modeling KW - probabilistic forecasting KW - control KW - NeoWins KW - wind turbine controls KW - impact prediction KW - wind turbine wake KW - Hazaki Oceanographical Research Station KW - VAD KW - virtual lidar KW - Doppler radar KW - IEA Wind Task 32 KW - ASCAT KW - wind atlas KW - turbulence intensity UR - https://www.unicat.be/uniCat?func=search&query=sysid:50847953 AB - 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.. ER -