Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements

To study the wake development characteristics of wind farms in complex terrains, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China. Under two different incoming wake conditions, the influence of wind shear, terrain and incoming wind characteristics on the development trend of wake was analyzed. The results showed that the existence of wind shear effect causes asymmetric distribution of wind speed in the wake region. The relief of the terrain behind the turbine indicated a subsidence of the wake centerline, which had a linear relationship with the topography altitudes. The wake recovery rates were calculated, which comprehensively validated the conclusion that the wake recovery rate is determined by both the incoming wind turbulence intensity in the wake and the magnitude of the wind speed.

[1]  J. Sørensen,et al.  Wind turbine wake aerodynamics , 2003 .

[2]  Rebecca J. Barthelmie,et al.  Analytical modelling of wind speed deficit in large offshore wind farms , 2006 .

[3]  F. Porté-Agel,et al.  A Wind-Tunnel Investigation of Wind-Turbine Wakes: Boundary-Layer Turbulence Effects , 2009 .

[4]  E. S. Politis,et al.  Modelling and Measuring Flow and Wind Turbine Wakes in Large Wind Farms Offshore , 2009, Renewable Energy.

[5]  Christopher J. Koroneos,et al.  Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece , 2009 .

[6]  J. Michalakes,et al.  A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics , 2012 .

[7]  M. Rafiuddin Ahmed,et al.  Blade design and performance testing of a small wind turbine rotor for low wind speed applications , 2013 .

[8]  Rebecca J. Barthelmie,et al.  An overview of data for wake model evaluation in the Virtual Wakes Laboratory , 2013 .

[9]  Martin Raubal,et al.  Assessment of the wake effect on the energy production of onshore wind farms using GIS , 2014 .

[10]  W. Shen,et al.  Development and validation of a new two-dimensional wake model for wind turbine wakes , 2015 .

[11]  E. Duque,et al.  Unraveling the Mysteries of Turbulence Transport in a Wind Farm , 2015 .

[12]  Valerie-Marie Kumer,et al.  Turbulent kinetic energy estimates from profiling wind LiDAR measurements and their potential for wind energy applications , 2016 .

[13]  Giacomo Valerio Iungo.  Experimental characterization of wind turbine wakes: Wind tunnel tests and wind LiDAR measurements , 2016 .

[14]  Lin Lu,et al.  Optimization of wind turbine layout position in a wind farm using a newly-developed two-dimensional wake model , 2016 .

[15]  R. Ganesh Rajagopalan,et al.  Numerical simulation of multiple interacting wind turbines on a complex terrain , 2016 .

[16]  Reza S. Abhari,et al.  Aerodynamics of wind turbine wakes in flat and complex terrains , 2016 .

[17]  M. Talavera,et al.  Experimental study of turbulence intensity influence on wind turbine performance and wake recovery in a low-speed wind tunnel , 2017 .

[18]  Takao Maeda,et al.  Investigation of wake characteristics of a Horizontal Axis Wind Turbine in vertical axis direction with field experiments , 2017 .

[19]  J. Mann,et al.  Complex terrain experiments in the New European Wind Atlas , 2017, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[20]  James G Brasseur,et al.  Non-steady wind turbine response to daytime atmospheric turbulence , 2017, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[21]  Luís Frölén Ribeiro,et al.  Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments , 2017 .

[22]  A. Hyvärinen,et al.  Effects From Complex Terrain on Wind-Turbine Performance , 2017 .

[23]  Davide Astolfi,et al.  Investigation of terrain and wake effects on the performance of wind farms in complex terrain using numerical and experimental data , 2017, Wind Energy.

[24]  Hang Meng,et al.  Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade , 2018 .

[25]  Hui Hu,et al.  An experimental investigation on the aeromechanics and wake interferences of wind turbines sited over complex terrain , 2018 .

[26]  Gustavo S. Böhme,et al.  Wake effect measurement in complex terrain - A case study in Brazilian wind farms , 2018 .

[27]  Hongxing Yang,et al.  Study on an innovative three-dimensional wind turbine wake model , 2018, Applied Energy.

[28]  F. Castellani,et al.  A study of wind turbine wakes in complex terrain through RANS simulation and SCADA data , 2018 .

[29]  Chang Xu,et al.  Atmospheric stability and topography effects on wind turbine performance and wake properties in complex terrain , 2018, Renewable Energy.

[30]  P. Zeng,et al.  Experimental investigation of the performance and wake effect of a small-scale wind turbine in a wind tunnel , 2019, Energy.

[31]  Hongxing Yang,et al.  Investigation of wind turbine performance coupling wake and topography effects based on LiDAR measurements and SCADA data , 2019 .

[32]  Jiarong Hong,et al.  Effect of turbine nacelle and tower on the near wake of a utility-scale wind turbine , 2019, Journal of Wind Engineering and Industrial Aerodynamics.

[33]  S. Aubrun,et al.  Statistical characteristics of interacting wind turbine wakes from a 7-month LiDAR measurement campaign , 2019, Renewable Energy.

[34]  Hongxing Yang,et al.  Validations of three-dimensional wake models with the wind field measurements in complex terrain , 2019 .

[35]  Yongqian Liu,et al.  A two-dimensional model based on the expansion of physical wake boundary for wind-turbine wakes , 2019, Applied Energy.

[36]  Hongxing Yang,et al.  Investigation and validation of 3D wake model for horizontal-axis wind turbines based on filed measurements , 2020 .