Design and evaluation of a short coherence length laser-based Doppler wind Lidar system for wind energy applications

Turbulent kinetic energy estimates from profiling wind LiDAR measurements and their potential for wind energy applications

Renewable Energy ◽

10.1016/j.renene.2016.07.014 ◽

2016 ◽

Vol 99 ◽

pp. 898-910 ◽

Cited By ~ 29

Author(s):

Valerie-M. Kumer ◽

Joachim Reuder ◽

Manfred Dorninger ◽

Rudolf Zauner ◽

Vanda Grubišić

Keyword(s):

Kinetic Energy ◽

Wind Energy ◽

Turbulent Kinetic Energy ◽

Energy Estimates ◽

Energy Applications ◽

Lidar Measurements ◽

Wind Lidar

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Wind Measurements from Arc Scans with Doppler Wind Lidar

Journal of Atmospheric and Oceanic Technology ◽

10.1175/jtech-d-14-00059.1 ◽

2015 ◽

Vol 32 (11) ◽

pp. 2024-2040 ◽

Cited By ~ 14

Author(s):

H. Wang ◽

R. J. Barthelmie ◽

A. Clifton ◽

S. C. Pryor

Keyword(s):

Wind Speed ◽

Sonic Anemometer ◽

Elevation Angle ◽

Horizontal Wind ◽

Horizontal Wind Speed ◽

Energy Applications ◽

Mean Wind Speed ◽

Wind Measurements ◽

Wind Lidar ◽

Doppler Wind Lidar

AbstractDefining optimal scanning geometries for scanning lidars for wind energy applications remains an active field of research. This paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of its high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. The radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.

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Improving Maryland’s Offshore Wind Energy Resource Estimate Using Doppler Wind Lidar Technology to Assess Microtmeteorology Controls

EPJ Web of Conferences ◽

10.1051/epjconf/201611914004 ◽

2016 ◽

Vol 119 ◽

pp. 14004

Author(s):

Alexandra St. Pé ◽

Daniel Wesloh ◽

Graham Antoszewski ◽

Farrah Daham ◽

Navid Goudarzi ◽

...

Keyword(s):

Wind Energy ◽

Energy Resource ◽

Offshore Wind ◽

Offshore Wind Energy ◽

Wind Lidar ◽

Doppler Wind Lidar

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Development of a TRL-5 conductively-cooled 2-micron laser transmitter for coherent doppler wind lidar system

10.1117/12.2024358 ◽

2013 ◽

Author(s):

Timothy Shuman ◽

Floyd E. Hovis ◽

Upendra N. Singh ◽

Mulugeta Petros ◽

Jirong Yu ◽

...

Keyword(s):

Lidar System ◽

Wind Lidar ◽

Laser Transmitter ◽

Doppler Wind Lidar

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Optical system design and experimental evaluation of a coherent Doppler wind Lidar system for the predictive control of wind turbine

Optical Review ◽

10.1007/s10043-014-0113-y ◽

2014 ◽

Vol 21 (5) ◽

pp. 698-704 ◽

Cited By ~ 2

Author(s):

Leilei Shinohara ◽

Julian Asche Tauscher ◽

Thorsten Beuth ◽

Nico Heussner ◽

Maik Fox ◽

...

Keyword(s):

Wind Turbine ◽

System Design ◽

Predictive Control ◽

Optical System ◽

Experimental Evaluation ◽

Lidar System ◽

Optical System Design ◽

Wind Lidar ◽

Doppler Wind Lidar

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Wind Shear Assessment Using Wind LiDAR Profiler and Sonic 3D Anemometer for Wind Energy Applications—Preliminary Results

Renewable Energy in the Service of Mankind Vol I ◽

10.1007/978-3-319-17777-9_80 ◽

2015 ◽

pp. 893-902 ◽

Cited By ~ 1

Author(s):

Yoshiaki Sakagami ◽

Pedro A. A. Santos ◽

Reinaldo Haas ◽

Júlio C. Passos ◽

Frederico F. Taves

Keyword(s):

Wind Energy ◽

Wind Shear ◽

Preliminary Results ◽

Energy Applications ◽

Wind Lidar

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Design and simulation of 532nm Rayleigh-Mie Doppler wind Lidar system

Fourth Seminar on Novel Optoelectronic Detection Technology and Application ◽

10.1117/12.2315493 ◽

2018 ◽

Author(s):

zhuang peng ◽

Bangxin Wang ◽

Min Tan ◽

Lu Li ◽

Zhanye Zhang ◽

...

Keyword(s):

Lidar System ◽

Wind Lidar ◽

Doppler Wind Lidar

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Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications”

Remote Sensing ◽

10.3390/rs11070781 ◽

2019 ◽

Vol 11 (7) ◽

pp. 781 ◽

Cited By ~ 1

Author(s):

Charlotte Hasager ◽

Mikael Sjöholm

Keyword(s):

Remote Sensing ◽

Wind Energy ◽

Wind Farm ◽

Doppler Radar ◽

Doppler Lidar ◽

Atmospheric Conditions ◽

Special Issue ◽

Energy Applications ◽

Wind Turbine Control ◽

Wind Lidar

This Special Issue hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. The 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 are 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.

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