Lidar Turbulence Measurements for Wind Energy

被引:0
|
作者
Mann, Jakob [1 ]
Sathe, Ameya [2 ]
Gottschall, Julia [1 ]
Courtney, Mike [1 ]
机构
[1] Riso DTU, Wind Energy Div, DK-4000 Roskilde, Denmark
[2] Delft Univ Technol, L&R Sect Wind Energy, NL-2629 HS Delft, Netherlands
关键词
ATMOSPHERIC SURFACE-LAYER; MOMENTUM;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Modeling of the systematic errors in the second-order moments of wind speeds measured by continuous-wave (ZephIR) and pulsed (WindCube) lidars is presented. These lidars use the velocity azimuth display technique to measure the velocity vector. The model is developed for the line-of-sight averaging and the full extent of conical scanning. The predictions are compared with the measurements from the ZephIR, WindCube and sonic anemometers at a flat terrain test site, under different atmospheric stability conditions. It is observed that the systematic errors are up to 90% for the vertical velocity variance, whereas they are up to 70% for the horizontal velocity variances. The systematic errors also vary with atmospheric stability, being lowest for the very unstable conditions. It is concluded that with the current measurement configuration, these lidars cannot be used to measure turbulence precisely.
引用
收藏
页码:263 / 270
页数:8
相关论文
共 50 条
  • [1] Measurements of Wind and Turbulence Profiles With Scanning Doppler Lidar for Wind Energy Applications
    Frehlich, Rod
    Kelley, Neil
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 1 (01) : 42 - 47
  • [2] Improving lidar turbulence estimates for wind energy
    Newman, J. F.
    Clifton, A.
    Churchfield, M. J.
    Klein, P.
    SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016), 2016, 753
  • [3] On turbulence models and lidar measurements for wind turbine control
    Dong, Liang
    Lio, Wai Hou
    Simley, Eric
    WIND ENERGY SCIENCE, 2021, 6 (06) : 1491 - 1500
  • [4] An error reduction algorithm to improve lidar turbulence estimates for wind energy
    Newman J.F.
    Clifton A.
    Newman, Jennifer F. (jennifer.newman@nrel.gov), 1600, Copernicus Publications (02): : 77 - 95
  • [5] LIDAR FOR WIND AND OPTICAL TURBULENCE PROFILING
    Fastig, Shlomo
    Porat, Omer
    Englander, Abraham
    Sprung, Detlev
    Stein, Karin U.
    Sucher, Erik
    28TH INTERNATIONAL LASER RADAR CONFERENCE (ILRC 28), 2018, 176
  • [6] Representativeness of measurements of the dissipation rate of turbulence energy by scanning Doppler lidar
    Banakh V.A.
    Smalikho I.N.
    Pichugina E.L.
    Brewer W.A.
    Atmospheric and Oceanic Optics, 2010, 23 (1) : 48 - 54
  • [7] 3D WindScanner lidar measurements of wind and turbulence around wind turbines, buildings and bridges
    Mikkelsen, T.
    Sjoholm, M.
    Angelou, N.
    Mann, J.
    FIRST CONFERENCE OF COMPUTATIONAL METHODS IN OFFSHORE TECHNOLOGY (COTECH2017), 2017, 276
  • [8] ANALYSIS OF WIND SPEED SHEAR AND TURBULENCE LIDAR MEASUREMENTS TO SUPPORT OFFSHORE WIND IN THE NORTHEAST UNITED STATES
    Viselli, Anthony
    Faessler, Nathan
    Filippelli, Matthew
    PROCEEDINGS OF THE ASME 1ST INTERNATIONAL OFFSHORE WIND TECHNICAL CONFERENCE, 2018, 2018,
  • [9] LiDAR Measurements of Wind Shear Exponents and Turbulence Intensity Offshore the Northeast United States
    Viselli, Anthony
    Faessler, Nathan
    Filippelli, Matthew
    JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2022, 144 (04):
  • [10] Determination of wind turbulence parameters from measurements with a Stream Line lidar in strong winds
    Smalikho, Igor N.
    Banakh, Viktor A.
    Sukharev, Artem A.
    Gordeev, Evgeny, V
    26TH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS, ATMOSPHERIC PHYSICS, 2020, 11560