The three-dimensional yaw entire wake model was improved
and a three-dimensional dynamic entire wake model of wind turbine yaw
namely the Y-3DJGF-T model
was proposed
considering the dynamic delay characteristics of the yaw wind turbine wake and further considering its influence on the spatial distribution of the wake field. To verify the accuracy of the Y-3DJGF-T model in wake centerline and vertical profile
two vertical lidars were used to conduct field experiments
and the data acquisition and supervisory control (SCADA) system data were used to analyze the wake delay time and velocity changes under yaw conditions. Results show that the average relative error between the calculated and measured values of the Y-3DJGF-T model is 2.51%.
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references
胡丹梅, 霍能萌, 杨官奎, 等. 风向变化对风力机尾流影响的数值分析[J]. 动力工程学报, 2017, 37(1): 60-65. HU Danmei, HUO Nengmeng, YANG Guankui, et al. Numerical analysis on wake effect of wind turbines at varying wind directions[J]. Journal of Chinese Society of Power Engineering, 2017, 37(1): 60-65.
LOPES A M G, VICENTE A H S N, SNCHEZ O H, et al. Operation assessment of analytical wind turbine wake models[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 220: 104840.
DUAN Guiyue, DAR A S, PORT-AGEL F. A wind tunnel study on cyclic yaw control: power performance and wake characteristics[J]. Energy Conversion and Management, 2023, 293: 117445.
张绍海, 高晓霞, 徐施耐, 等. 基于风场实验的三维叠加尾流模型特性研究[J]. 动力工程学报, 2023, 43(9): 1223-1229. ZHANG Shaohai, GAO Xiaoxia, XU Shinai, et al. Research on characteristics of three-dimensional superimposed wake model based on wind field experiments[J]. Journal of Chinese Society of Power Engineering, 2023, 43(9): 1223-1229.
王天凡, 施鎏鎏. 来流剪切对风力机尾迹影响的数值研究[J]. 动力工程学报, 2021, 41(10): 877-882, 891. WANG Tianfan, SHI Liuliu. Numerical study on the influence of shear inflow on wind turbine wakes[J]. Journal of Chinese Society of Power Engineering, 2021, 41(10): 877-882, 891.
STOREY R C, CATER J E, NORRIS S E. Large eddy simulation of turbine loading and performance in a wind farm[J]. Renewable Energy, 2016, 95: 31-42.
GAO Zhiteng, LI Ye, WANG Tongguang, et al. Modelling the nacelle wake of a horizontal-axis wind turbine under different yaw conditions[J]. Renewable Energy, 2021, 172: 263-275.
ARABGOLARCHEH A, JANNESARAHMADI S, BENINI E. Modeling of near wake characteristics in floating offshore wind turbines using an actuator line method[J]. Renewable Energy, 2022, 185: 871-887.
JIMNEZ , CRESPO A, MIGOYA E. Application of a LES technique to characterize the wake deflection of a wind turbine in yaw[J]. Wind Energy, 2010, 13(6): 559-572.
BASTANKHAH M, PORT-AGEL F. Experimental and theoretical study of wind turbine wakes in yawed conditions[J]. Journal of Fluid Mechanics, 2016, 806: 506-541.
ZHU Xiaoxun, CHEN Yao, XU Shinai, et al. Three-dimensional non-uniform full wake characteristics for yawed wind turbine with LiDAR-based experimental verification[J]. Energy, 2023, 270: 126907.
DOU Bingzheng, GUALA M, LEI Liping, et al. Experimental investigation of the performance and wake effect of a small-scale wind turbine in a wind tunnel[J]. Energy, 2019, 166: 819-833.
HE Ruiyang, YANG Hongxing, SUN Haiying, et al. A novel three-dimensional wake model based on anisotropic Gaussian distribution for wind turbine wakes[J]. Applied Energy, 2021, 296: 117059.
CHEN Hao, STAUPE-DELGADO R. Exploiting more robust and efficacious deep learning techniques for modeling wind power with speed[J]. Energy Reports, 2022, 8: 864-870.
XU Li, ZHOU Guanhao, GUO Zhaoliang. ART-LSTANet: an adaptive intelligent method for wind turbine wake analysis[J]. Engineering Applications of Artificial Intelligence, 2023, 126: 106809.
GEBRAAD P M O, VAN WINGERDEN J W. A control-oriented dynamic model for wakes in wind plants[J]. Journal of Physics: Conference Series, 2014, 524: 012186.
KHEIRABADI A C, NAGAMUNE R. A low-fidelity dynamic wind farm model for simulating time-varying wind conditions and floating platform motion[J]. Ocean Engineering, 2021, 234: 109313.
DENG Zhiwen, XU Chang, HUO Zhihong, et al. Yaw optimisation for wind farm production maximisation based on a dynamic wake model[J]. Energies, 2023, 16(9): 3932.
GAO Xiaoxia, ZHANG Shaohai, LI Luqing, et al. Quantification of 3D spatiotemporal inhomogeneity for wake characteristics with validations from field measurement and wind tunnel test[J]. Energy, 2022, 254: 124277.