Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigao experiment

被引:11
|
作者
Barthelmie, R. J. [1 ]
Pryor, S. C. [2 ]
Wildmann, N. [3 ]
Menke, R. [4 ]
机构
[1] CU, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USA
[2] CU, Dept Earth & Atmospher Sci, Ithaca, NY USA
[3] Deutsch Zentrum Luft & Raumfahrt DLR, Inst Atmospher Phys, Cologne, Germany
[4] Tech Univ Denmark DTU, Wind Energy Dept, Lyngby, Denmark
基金
美国国家科学基金会;
关键词
D O I
10.1088/1742-6596/1037/5/052022
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
During the intensive period (May-June 2017) of the Perdigao experiment, three sets of Doppler lidar were operated to scan the wake of the wind turbine (WT) on the southwest ridge. CU operated a Doppler scanning lidar in the valley bottom approximately 1 km northeast of the WT and conducted multiple arc scans and two RHI scans every 10-minutes centred on the WT. DTU used a dual Doppler lidar system scanning almost horizontally from the northeast ridge. Two of the three DLR lidars were in-plane with the WT for the main wind direction, one in the valley and one on the distant mountain ridge. The third DLR lidar was on the southwest ridge. All three systems (CU, DTU and DLR) were operated such that in data processing vertical and/or horizontal profiles of the wake can be derived at different distances from the WT. The paper describes the strategies used to scan the wake by the three groups and compares wake characteristics derived from the different systems.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Automated wind turbine wake characterization in complex terrain
    Barthelmie, Rebecca J.
    Pryor, Sara C.
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2019, 12 (06) : 3463 - 3484
  • [2] Characterization of Turbulent Wake of Wind Turbine by Coherent Doppler Lidar
    Wu, Songhua
    Yin, Jiaping
    Liu, Bingyi
    Liu, Jintao
    Li, Rongzhong
    Wang, Xitao
    Feng, Changzhong
    Zhuang, Quanfeng
    Zhang, Kailin
    [J]. LIDAR REMOTE SENSING FOR ENVIRONMENTAL MONITORING XIV, 2014, 9262
  • [3] Wind turbine wake detection with a single Doppler wind lidar
    Wang, H.
    Barthelmie, R. J.
    [J]. WAKE CONFERENCE 2015, 2015, 625
  • [4] Wind turbine wake measurement in complex terrain
    Hansen, K. S.
    Larsen, G. C.
    Menke, R.
    Vasiljevic, N.
    Angelou, N.
    Feng, J.
    Zhu, W. J.
    Vignaroli, A.
    Liu, W. W.
    Xu, C.
    Shen, W. Z.
    [J]. SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016), 2016, 753
  • [5] Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain
    Menke, Robert
    Vasiljevic, Nikola
    Hansen, Kurt S.
    Hahmann, Andrea N.
    Mann, Jakob
    [J]. WIND ENERGY SCIENCE, 2018, 3 (02) : 681 - 691
  • [6] Wind turbine wake visualization and characteristics analysis by Doppler lidar
    Wu, Songhua
    Liu, Bingyi
    Liu, Jintao
    Zhai, Xiaochun
    Feng, Changzhong
    Wang, Guining
    Zhang, Hongwei
    Yin, Jiaping
    Wang, Xitao
    Li, Rongzhong
    Gallacher, Daniel
    [J]. OPTICS EXPRESS, 2016, 24 (10): : A762 - A780
  • [7] Investigation into wind turbine wake effect on complex terrain
    Sun, Haiying
    Yang, Hongxing
    Gao, Xiaoxia
    [J]. ENERGY, 2023, 269
  • [8] Impact of the wind field at the complex-terrain site Perdigao on the surface pressure fluctuations of a wind turbine
    Wenz, Florian
    Langner, Judith
    Lutz, Thorsten
    Kraemer, Ewald
    [J]. WIND ENERGY SCIENCE, 2022, 7 (03) : 1321 - 1340
  • [9] Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements
    Zhao, Fei
    Gao, Yihan
    Wang, Tengyuan
    Yuan, Jinsha
    Gao, Xiaoxia
    [J]. SUSTAINABILITY, 2020, 12 (06)
  • [10] Complex terrain effects on wake characteristics of a parked wind turbine
    Kozmar, Hrvoje
    Allori, Davide
    Bartoli, Gianni
    Borri, Claudio
    [J]. ENGINEERING STRUCTURES, 2016, 110 : 363 - 374