Wind Turbine Wake Characterization for Improvement of the Ainslie Eddy Viscosity Wake Model

Hyungyu Kim, Kwansu Kim, Carlo Luigi Bottasso, Filippo Campagnolo and Insu Paek
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Hyungyu Kim: Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Kwansu Kim: Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Carlo Luigi Bottasso: Wind Energy Institute, Technical University of Munich, 85748 Munich, Germany
Filippo Campagnolo: Wind Energy Institute, Technical University of Munich, 85748 Munich, Germany
Insu Paek: Division of Mechanical and Biomedical, Mechatronics and Materials Science and Engineering, Kangwon National University, Chuncheon-si 24341, Korea

Energies, 2018, vol. 11, issue 10, 1-19

Abstract: 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.

Keywords: kinematic wake model; field wake model; wind tunnel test; wake model modification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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