Offshore Wind Turbine Wake Characteristics Analysis Using Single-Double Gaussian Model Based on Wind Lidar Measurements

Qingyuan LIU; Songhua WU; Kailin ZHANG; Rongzhong LI; Xiaochun ZHAI

doi:10.3969/j.issn.1673-6141.2021.01.005

[1] Jensen N O. A note on wind generator interaction [R]. Technical report from the Ris? National Laboratory (Ris?-M-2411), 1983.

[2] Lissaman P B S. Energy effectiveness of arbitrary arrays of wind turbines [J]. Journal of Energy, 1979, 3(6): 323-328.

[3] Ainslie J F. Calculating the flowfield in the wake of wind turbines [J]. Journal of Wind Engineering & Industrial Aerodynamics, 1988, 27(1-3): 213-224.

[4] Wu Yangyang. Applicability analysis of empirical wake model based on wind data [J]. Zhejiang Electric Power, 2017, 36(11): 92-98.

[5] Zhang Xiaodong, Zhang Zhen. Research of semi-empirical wind turbine wake models [J]. Acta Energiae Solaris Sinica, 2014, 35(1): 101-105.

[6] Yang Xiangsheng, Zhao Ning, Tian Linlin, et al. Wake numerical simulation based on the Park-Gauss model and considering atmospheric stability [J]. Acta Energiae Solaris Sinica, 2016, 37(9): 2224-2229.

[7] Nedjari H D, Guerri O, Saighi M. CFD wind turbines wake assessment in complex topography [J]. Energy Conversion & Management, 2017, 138 (APR.): 224-236.

[8] Hgstrm U, Asimakopoulos D N, Kambezidis H, et al. A field study of the wake behind a 2 MW wind turbine [J]. Atmospheric Environment, 1988, 22(4): 803-820.

[9] Krishnamurthy R, Reuder J, Svardal B, et al. Offshore wind turbine wake characteristics using scanning Doppler lidar [J]. Energy Procedia, 2017, 137: 428-442.

[10] Feng C, Liu B, Wu S, et al. Characterization of a wind turbine wake evolving over an intertidal zone performed with dual-lidar observations [J]. Atmospheric Measurement Techniques Discussion, 2017. Doi: 10.5194/amt-2017-23.

[11] Yu Xiaoqing, Wu Songhua. Analysis of characteristics of onshore turbine wake in Xinjiang [J]. Journal of Atmospheric and Environmental Optics, 2019, 14(4): 250-258.

[12] Magnusson M. Near-wake behaviour of wind turbines [J]. Journal of Wind Engineering and Industrial Aerodynamics, 1999, 80(1-2): 147-167.

[13] Wu S, Zhai X. Lidar investigation of wind turbine wake characteristics under different surface roughness [C]. Optics & Photonics for Energy & the Environment. 2016.

[14] Aitken M L, Banta R M, Pichugina Y L, et al. Quantifying wind turbine wake characteristics from scanning remote sensor data [J]. Journal of Atmospheric & Oceanic Technology, 2014, 31(4): 765-787.

[15] Wu S H, Yin J, Liu B, et al. Characterization of turbulent wake of wind turbine by coherent Doppler lidar [C]. Lidar Remote Sensing for Environmental Monitoring XIV, International Society for Optics and Photonics, 2014.

[16] Wu S, Liu B, Liu J, et al. Wind turbine wake visualization and characteristics analysis by Doppler lidar [J]. Optics Express, 2016, 24(10): A762.