Remote Sensing of Atmospheric Conditions for Wind Energy Applications

• Autore: Hasager Charlotte
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 electronic resource (290 p.)
• Soggetto non controllato: complex flow; Floating Lidar System (FLS); mesoscale; wind energy resources; variational analysis; wind turbine; wind sensing; wind energy; wind gusts; wake; wind structure; complex terrain; global ocean; remote sensing forecasting; detached eddy simulation; five-minute ahead wind power forecasting; tropical cyclones; fetch effect; aerosol; vertical Light Detection and Ranging; range gate length; resource assessment; field experiments; remote sensing; optical flow; turbulence; atmospheric boundary layer; Doppler Wind Lidar; offshore; empirical equation; Lidar; WindSAT; coastal wind measurement; offshore wind speed forecasting; Doppler wind lidar; Doppler; wind; wind lidar; cross-correlation; QuikSCAT; wind resource assessment; detecting and tracking; single-particle; gust prediction; NWP model; velocity-azimuth-display algorithm; lidar-assisted control (LAC); Doppler lidar; motion estimation; power performance testing; lidar; large-eddy simulations; wind farm; coherent Doppler lidar; wake modeling; probabilistic forecasting; control; NeoWins; wind turbine controls; impact prediction; wind turbine wake; Hazaki Oceanographical Research Station; VAD; virtual lidar; Doppler radar; IEA Wind Task 32; ASCAT; wind atlas; turbulence intensity
• Persona (resp. second.): SjöholmMikael
• Sommario/riassunto: 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..
• Titolo autorizzato: Remote Sensing of Atmospheric Conditions for Wind Energy Applications
• ISBN: 3-03897-943-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346674903321
• Lo trovi qui: Univ. Federico II