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Impact of Limited Degree of Freedom Drag Coefficients on a Floating Offshore Wind Turbine Simulation
by
Srinivas, Arjun
, Robertson, Bryson
, Simpson, Barbara Gwynne
, Ilzarbe, Jesús María Blanco
, Lomónaco, Pedro
, Gadasi, Jonah Benjamin
in
Engineering
/ Oceanography
2023
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Impact of Limited Degree of Freedom Drag Coefficients on a Floating Offshore Wind Turbine Simulation
by
Srinivas, Arjun
, Robertson, Bryson
, Simpson, Barbara Gwynne
, Ilzarbe, Jesús María Blanco
, Lomónaco, Pedro
, Gadasi, Jonah Benjamin
in
Engineering
/ Oceanography
2023
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Impact of Limited Degree of Freedom Drag Coefficients on a Floating Offshore Wind Turbine Simulation
Journal Article
Impact of Limited Degree of Freedom Drag Coefficients on a Floating Offshore Wind Turbine Simulation
2023
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Overview
The worldwide effort to design and commission floating offshore wind turbines (FOWT) is motivating the need for reliable numerical models that adequately represent their physical behavior under realistic sea states. However, properly representing the hydrodynamic quadratic damping for FOWT remains uncertain, because of its dependency on the choice of drag coefficients (dimensionless or not). It is hypothesized that the limited degree of freedom (DoF) drag coefficient formulation that uses only translational drag coefficients causes mischaracterization of the rotational DoF drag, leading to underestimation of FOWT global loads, such as tower base fore-aft shear. To address these hydrodynamic modeling uncertainties, different quadratic drag models implemented in the open-source mid-fidelity simulation tool, OpenFAST, were investigated and compared with the experimental data from the Offshore Code Comparison Collaboration, Continued, with Correlation (OC5) project. The tower base fore-aft shear and up-wave mooring line tension were compared under an irregular wave loading condition to demonstrate the effects of the different damping models. Two types of hydrodynamic quadratic drag formulations were considered: (1) member-based dimensionless drag coefficients applied only at the translational DoF (namely limited-DoF drag model) and (2) quadratic drag matrix model (in dimensional form). Based on the results, the former consistently underestimated the 95th percentile peak loads and spectral responses when compared to the OC5 experimental data. In contrast, the drag matrix models reduced errors in estimates of the tower base shear peak load by 7–10% compared to the limited-DoF drag model. The underestimation in the tower base fore-aft shear was thus inferred be related to mischaracterization of the rotational pitch drag and the heave motion/drag by the limited-DoF model.
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MDPI
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