TY  - BOOK
AU  - Hasager, Charlotte
AU  - Sjöholm, Mikael
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..
DO  - 10.3390/books978-3-03897-943-2
ID  - OAPEN ID: 33652
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
L1  - https://mdpi.com/books/pdfview/book/1308
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/58171
PB  - MDPI - Multidisciplinary Digital Publishing Institute
PY  - 2019
SN  - 9783038979432
SN  - 9783038979425
TI  - Remote Sensing of Atmospheric Conditions for Wind Energy Applicationsnull
ER  - 
