The paper presents a stochastic approach to estimate the aerodynamic forces with local dynamics on wind turbine blades in unsteady wind inflow. This is done by integrating a stochastic model of lift and drag dynamics for an airfoil into the aerodynamic simulation software AeroDyn. The model is added as an alternative to the static table lookup approach in blade element momentum (BEM) wake model used by AeroDyn. The stochastic forces are obtained for a rotor blade element using full field turbulence simulated wind data input and compared with the classical BEM and dynamic stall models for identical conditions. The comparison shows that the stochastic model generates additional extended dynamic response in terms of local force fluctuations. Further, the comparison of statistics between the classical BEM, dynamic stall, and stochastic models' results in terms of their increment probability density functions (PDFs) gives consistent results.
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July 2015
Research-Article
Stochastic Model for Aerodynamic Force Dynamics on Wind Turbine Blades in Unsteady Wind Inflow
M. R. Luhur,
M. R. Luhur
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: muhammad.ramzan@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: muhammad.ramzan@uni-oldenburg.de
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J. Peinke,
J. Peinke
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: joachim.peinke@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: joachim.peinke@uni-oldenburg.de
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M. Kühn,
M. Kühn
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: martin.kuehn@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: martin.kuehn@uni-oldenburg.de
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M. Wächter
M. Wächter
1
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: matthias.waechter@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: matthias.waechter@uni-oldenburg.de
1Corresponding author.
Search for other works by this author on:
M. R. Luhur
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: muhammad.ramzan@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: muhammad.ramzan@uni-oldenburg.de
J. Peinke
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: joachim.peinke@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: joachim.peinke@uni-oldenburg.de
M. Kühn
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: martin.kuehn@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: martin.kuehn@uni-oldenburg.de
M. Wächter
ForWind-Center for Wind Energy Research,
Institute of Physics,
e-mail: matthias.waechter@uni-oldenburg.de
Institute of Physics,
University of Oldenburg
,Oldenburg 26129
, Germany
e-mail: matthias.waechter@uni-oldenburg.de
1Corresponding author.
Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS. Manuscript received February 16, 2014; final manuscript received October 26, 2014; published online April 2, 2015. Assoc. Editor: Carlo L. Bottasso.
J. Comput. Nonlinear Dynam. Jul 2015, 10(4): 041010 (10 pages)
Published Online: July 1, 2015
Article history
Received:
February 16, 2014
Revision Received:
October 26, 2014
Online:
April 2, 2015
Citation
Luhur, M. R., Peinke, J., Kühn, M., and Wächter, M. (July 1, 2015). "Stochastic Model for Aerodynamic Force Dynamics on Wind Turbine Blades in Unsteady Wind Inflow." ASME. J. Comput. Nonlinear Dynam. July 2015; 10(4): 041010. https://doi.org/10.1115/1.4028963
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