A novel wake model for yawed wind turbines

Abstract One of the current major challenges in wind energy is to maximize energy production of wind farms. One approach in this effort is through control of wind turbine wake interactions, since undesirable wake interactions can introduce additional mechanical stresses on turbines, leading to early failures and reduce overall energy production of wind farms. To develop control strategies that can minimize wake interactions, it is essential to simulate wake behaviors accurately and quickly. In this work, a fast and accurate turbine wake model capable of modeling turbine wakes under yaw is presented. This model builds upon the work of existing wake models and is capable of producing results comparable to that of conventional full CFD simulations using a fraction of the computational cost. The accuracy and speed of the proposed model allows for the development of real-time turbine control strategies to maximize power output. The results of the proposed model are validated with previous numerical and experimental data.

[1]  Roham Rafiee,et al.  The influence of material properties on the aeroelastic behavior of a composite wind turbine blade , 2016 .

[2]  W. Shen,et al.  Prediction of multi-wake problems using an improved Jensen wake model , 2017 .

[3]  J. Højstrup,et al.  A Simple Model for Cluster Efficiency , 1987 .

[4]  F. Porté-Agel,et al.  Experimental and theoretical study of wind turbine wakes in yawed conditions , 2016, Journal of Fluid Mechanics.

[5]  J. F. Ainslie,et al.  CALCULATING THE FLOWFIELD IN THE WAKE OF WIND TURBINES , 1988 .

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

[7]  C. Masson,et al.  An extended k–ε model for turbulent flow through horizontal-axis wind turbines , 2008 .

[8]  John Chick,et al.  Validation of a CFD model of wind turbine wakes with terrain effects , 2013 .

[9]  Takeshi Ishihara,et al.  A New Analytical Wake Model for Yawed Wind Turbines , 2018 .

[10]  Xing Zhang,et al.  Wake flow model of wind turbine using particle simulation , 2012 .

[11]  Fernando Porté-Agel,et al.  Wind Turbine Wake Mitigation through Blade Pitch Offset , 2017 .

[12]  Muyiwa S. Adaramola,et al.  Experimental investigation of wake effects on wind turbine performance , 2011 .

[13]  Jason R. Marden,et al.  Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study , 2016 .

[14]  Sten Tronæs Frandsen,et al.  On the wind speed reduction in the center of large clusters of wind turbines , 1992 .

[15]  Javier Serrano González,et al.  A review and recent developments in the optimal wind-turbine micro-siting problem , 2014 .

[16]  Fernando Porté-Agel,et al.  A wind-tunnel investigation of wind-turbine wakes in yawed conditions , 2015 .

[17]  M. Y. Hussaini,et al.  Placement of wind turbines using genetic algorithms , 2005 .

[18]  N. Jensen A note on wind generator interaction , 1983 .

[19]  E. Migoya,et al.  Application of a LES technique to characterize the wake deflection of a wind turbine in yaw , 2009 .

[20]  J. Cleijne Results of Sexbierum Wind Farm: double wake measurements , 1992 .

[21]  G. Putrus,et al.  The cost of energy associated with micro wind generation: International case studies of rural and urban installations , 2016 .

[22]  Rebecca J. Barthelmie,et al.  Modelling of Offshore Wind Turbine Wakes with the Wind Farm Program FLaP , 2003 .

[23]  Fernando Porté-Agel,et al.  Wind farm power optimization via yaw angle control: A wind tunnel study , 2019, Journal of Renewable and Sustainable Energy.

[24]  Cristina H. Amon,et al.  A new mathematical programming approach to optimize wind farm layouts , 2014 .

[25]  J. Schepers ENDOW: Validation and improvement of ECN's wake model , 2003 .

[26]  Johan Meyers,et al.  Optimal turbine spacing in fully developed wind farm boundary layers , 2012 .

[27]  Cristina H. Amon,et al.  A novel wake model for wind farm design on complex terrains , 2018 .

[28]  G. Díaz,et al.  Small-scale renewable power technologies are an alternative to reach a sustainable economic growth: Evidence from Spain , 2019, Energy.

[29]  Kathryn E. Johnson,et al.  Wind farm control: Addressing the aerodynamic interaction among wind turbines , 2009, 2009 American Control Conference.

[30]  P. A. Costa Rocha,et al.  The effects of blade pitch angle on the performance of small-scale wind turbine in urban environments , 2018 .

[31]  Roham Rafiee,et al.  Simulation of aeroelastic behavior in a composite wind turbine blade , 2016 .