High fidelity aeroelastic stability analysis of operating wind turbines

In the light of steadily growing wind turbines with more flexible and complex blades, accuracy in aerodynamic modeling is of great importance. Therefore, this study explores the possibilities and implications of using high-fidelity computational fluid dynamics (CFD) simulations in aeroelastic stability analysis. This work details an efficient setup including forcing sequences and subspace identification to compare the modal parameters obtained with blade element momentum (BEM)- and CFD-based modeling. The data-driven approach works with simulated time series of any fidelity or complexity, and even physical experiments or field measurements. The resulting time series reveal slight differences in operating conditions, which carry on to the identified modal parameters. There is a good agreement across codes for the frequency, with maximum differences below 0.5%. Larger differences are reported on the damping ratios, where FSI returns damping values up to 30%, or 2%-points, lower than BEM at high wind speeds. This difference can also be found in the flapwise component of the high-resolution mode shapes, which otherwise align well.

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Publication Details

Journal
Renewable Energy
Published
2025-05-25
DOI
https://doi.org/10.1016/j.renene.2025.123424
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00

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article

High fidelity aeroelastic stability analysis of operating wind turbines

Leonardo Bergami, Jesper Madsen, Riccardo Riva, Frederik Zahle et al.
Renewable Energy
Wind Energy Research and Development
article

High fidelity aeroelastic stability analysis of operating wind turbines

Leonardo Bergami, Jesper Madsen, Riccardo Riva, Frederik Zahle, Armin Hermes, Casper Skovby
article en

Abstract

In the light of steadily growing wind turbines with more flexible and complex blades, accuracy in aerodynamic modeling is of great importance. Therefore, this study explores the possibilities and implications of using high-fidelity computational fluid dynamics (CFD) simulations in aeroelastic stability analysis. This work details an efficient setup including forcing sequences and subspace identification to compare the modal parameters obtained with blade element momentum (BEM)- and CFD-based modeling. The data-driven approach works with simulated time series of any fidelity or complexity, and even physical experiments or field measurements. The resulting time series reveal slight differences in operating conditions, which carry on to the identified modal parameters. There is a good agreement across codes for the frequency, with maximum differences below 0.5%. Larger differences are reported on the damping ratios, where FSI returns damping values up to 30%, or 2%-points, lower than BEM at high wind speeds. This difference can also be found in the flapwise component of the high-resolution mode shapes, which otherwise align well.

Renewable EnergyVol. 253
Roskilde University (DK), General Electric (Denmark) (DK)
Innovationsfonden
Affordable and clean energy
Openalex Percentile: Top 85%
Wind Energy Research and Development
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