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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| Format: | Online |
| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | 33652 |
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| _version_ | 1869523968834142208 |
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| author | Hasager, Charlotte Sjöholm, Mikael |
| author_browse | Hasager, Charlotte Sjöholm, Mikael |
| author_facet | Hasager, Charlotte Sjöholm, Mikael |
| author_sort | Hasager, Charlotte |
| collection | Directory of Open Access Books |
| description | 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.. |
| format | Online |
| id | doab-20.500.12854ir-58171 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-581712023-12-20T18:40:31Z Remote Sensing of Atmospheric Conditions for Wind Energy Applications Hasager, Charlotte Sjöholm, Mikael Q1-390 QC1-999 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general 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.. 2021-02-12T01:47:41Z 2021-02-12T01:47:41Z 2019-06-26 08:44:06 2019 book 33652 9783038979432 9783038979425 https://directory.doabooks.org/handle/20.500.12854/58171 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1308 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-943-2 10.3390/books978-3-03897-943-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038979432 9783038979425 290 open access |
| spellingShingle | Q1-390 QC1-999 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general Hasager, Charlotte Sjöholm, Mikael Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| 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_short | Remote Sensing of Atmospheric Conditions for Wind Energy Applications |
| title_sort | remote sensing of atmospheric conditions for wind energy applications |
| topic | Q1-390 QC1-999 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general |
| topic_facet | Q1-390 QC1-999 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 bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general |
| url | 33652 |
| work_keys_str_mv | AT hasagercharlotte remotesensingofatmosphericconditionsforwindenergyapplications AT sjoholmmikael remotesensingofatmosphericconditionsforwindenergyapplications |