Remote Sensing of Atmospheric Conditions for Wind Energy Applications
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 l...
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| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (290 p.) |
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Hasager, Charlotte auth Remote Sensing of Atmospheric Conditions for Wind Energy Applications MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (290 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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.. English 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 3-03897-942-2 Sjöholm, Mikael auth |
| language |
English |
| format |
eBook |
| author |
Hasager, Charlotte |
| spellingShingle |
Hasager, Charlotte Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| author_facet |
Hasager, Charlotte Sjöholm, Mikael |
| author_variant |
c h ch |
| author2 |
Sjöholm, Mikael |
| author2_variant |
m s ms |
| author_sort |
Hasager, Charlotte |
| title |
Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| title_full |
Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| title_fullStr |
Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| title_full_unstemmed |
Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| title_auth |
Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| title_new |
Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| title_sort |
remote sensing of atmospheric conditions for wind energy applications |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2019 |
| physical |
1 electronic resource (290 p.) |
| isbn |
3-03897-943-0 3-03897-942-2 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT hasagercharlotte remotesensingofatmosphericconditionsforwindenergyapplications AT sjoholmmikael remotesensingofatmosphericconditionsforwindenergyapplications |
| status_str |
n |
| ids_txt_mv |
(CKB)4920000000094918 (oapen)https://directory.doabooks.org/handle/20.500.12854/58171 (EXLCZ)994920000000094918 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| author2_original_writing_str_mv |
noLinkedField |
| _version_ |
1796652178230738944 |
| fullrecord |
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