@inproceedings{9e2e47a2cf344a7f80f8354968459ea8,
title = "Wind Turbine Aeroelastic Stability in OpenFAST",
abstract = "Wind turbines are growing in size and increasingly suffer from aeroelastic instabilities. Unfortunately, numerical models often show inconsistent results during verification studies. We address this gap by first introducing novel linearization capabilities within the open-source aero-hydro-servo-elastic framework OpenFAST. Next, a code-to-code benchmark study is presented that compares modal parameters between OpenFAST and HAWCStab2 for a land-based version of the International Energy Agency 15-MW reference wind turbine modeled with quasi-steady aerodynamics. The two solvers are in strong agreement except for discrepancies in the second rotor flapwise modes. The differences are attributed to the torsional flexibility of the tower, which is assumed torsionally stiff in the OpenFAST model. Work is ongoing to close this modeling gap. The aeroelastic stability of a low-specific-power land-based wind turbine is also investigated. The impact of design choices is discussed, high-lighting how narrow the margins are between a stable design and an unstable design.",
author = "Pietro Bortolotti and Mayank Chetan and Emmanuel Branlard and Jason Jonkman and Andy Platt and Derek Slaughter and Jennifer Rinker",
year = "2024",
doi = "10.1088/1742-6596/2767/2/022018",
language = "English",
volume = "2767",
series = "Journal of Physics: Conference Series",
publisher = "IOP Publishing",
number = "2",
booktitle = "The Science of Making Torque from Wind (TORQUE 2024): Aerodynamics, aeroleasticity, and aeroacustics",
address = "United Kingdom",
note = "The Science of Making Torque from Wind (TORQUE 2024), TORQUE 2024 ; Conference date: 29-05-2024 Through 31-05-2024",
}