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RSS FeedsEnergies, Vol. 11, Pages 2823: Wind Turbine Wake Characterization for Improvement of the Ainslie Eddy Viscosity Wake Model (Energies)

 
 

20 october 2018 04:02:46

 
Energies, Vol. 11, Pages 2823: Wind Turbine Wake Characterization for Improvement of the Ainslie Eddy Viscosity Wake Model (Energies)
 


This paper presents a modified version of the Ainslie eddy viscosity wake model and its accuracy by comparing it with selected exiting wake models and wind tunnel test results. The wind tunnel test was performed using a 1.9 m rotor diameter wind turbine model operating at a tip speed ratio similar to that of modern megawatt wind turbines. The control algorithms for blade pitch and generator torque used for below and above rated wind speed regions similar to those for multi-MW wind turbines were applied to the scaled wind turbine model. In order to characterize the influence of the wind turbine operating conditions on the wake, the wind turbine model was tested in both below and above rated wind speed regions at which the thrust coefficients of the rotor varied. The correction of the Ainslie eddy viscosity wake model was made by modifying the empirical equation of the original model using the wind tunnel test results with the Nelder-Mead simplex method for function minimization. The wake prediction accuracy of the modified wake model in terms of wind speed deficit was found to be improved by up to 6% compared to that of the original model. Comparisons with other existing wake models are also made in detail.


 
76 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 11, Pages 2824: Assessing the Macro-Economic Benefit of Installing a Farm of Oscillating Water Columns in Scotland and Portugal (Energies)
Energies, Vol. 11, Pages 2822: Short-Term Electric Power Forecasting Using Dual-Stage Hierarchical Wavelet- Particle Swarm Optimization- Adaptive Neuro-Fuzzy Inference System PSO-ANFIS Approach Based On Climate Change (Energies)
 
 
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