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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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https://doi.org/10.5194/wes-2018-75
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2018-75
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Brief communications 15 Jan 2019

Brief communications | 15 Jan 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).

Performance of non-intrusive uncertainty quantification in the aeroservoelastic simulation of wind turbines

Pietro Bortolotti1, Helena Canet1, Carlo L. Bottasso1, and Jaikumar Loganathan1,2 Pietro Bortolotti et al.
  • 1Wind Energy Institute, Technische Universität München, D-85748 Garching, Germany
  • 2GE Global Research, Aero Thermal Lab., Hoodi Village, Bangalore, India

Abstract. The paper studies the effects of uncertainties on aeroservoelastic wind turbine models. Two non-intrusive uncertainty quantification methods are considered, namely non-intrusive polynomial chaos expansion and Kriging. Uncertainties are associated with the wind inflow characteristics and the blade surface state, on account of soiling and/or erosion, and propagated throughout the aeroservoelastic model of a large conceptual off-shore wind turbine.

Results are compared with a brute-force extensive Monte Carlo sampling. Both methods appear to yield similar results, with a somewhat faster convergence for Kriging. The analysis of the solution space clearly indicates the effects of uncertainties and their couplings, and highlights some possible shortcomings of current mostly deterministic approaches.

Pietro Bortolotti et al.
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Short summary
The paper studies the effects of uncertainties on aeroservoelastic wind turbine models. Uncertainties are associated with the wind inflow characteristics and the blade surface state, and propagated by means of two non-intrusive methods throughout the aeroservoelastic model of a large conceptual off-shore wind turbine. Results are compared with a brute-force extensive Monte Carlo sampling to assess the convergence characteristics of the non-intrusive approaches.
The paper studies the effects of uncertainties on aeroservoelastic wind turbine models....
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