Quantifying the impact of modeling fidelity  on different substructure concepts for floating  offshore wind turbines – Part 1: Validation  of the hydrodynamic module QBlade-Ocean

Behrens de Luna, Robert; Perez-Becker, Sebastian; Saverin, Joseph; Marten, David; Papi, Francesco; Ducasse, Marie-Laure; Bonnefoy, Félicien; Bianchini, Alessandro; Paschereit, Christian-Oliver

doi:https://doi.org/10.5194/wes-9-623-2024

Articles | Volume 9, issue 3

https://doi.org/10.5194/wes-9-623-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-9-623-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 3

Research article

|

14 Mar 2024

Research article |

| 14 Mar 2024

Quantifying the impact of modeling fidelity on different substructure concepts for floating offshore wind turbines – Part 1: Validation of the hydrodynamic module QBlade-Ocean

Robert Behrens de Luna, Sebastian Perez-Becker, Joseph Saverin, David Marten, Francesco Papi, Marie-Laure Ducasse, Félicien Bonnefoy, Alessandro Bianchini, and Christian-Oliver Paschereit

Data sets

Deliverable 2.1 Aero-hydro-elastic model definition - OC5 5 MW MSWT, version 5.0.0 Robert Behrens de Luna https://doi.org/10.5281/zenodo.10634206

Aero-hydro-elastic model definition - SOFTWIND 10 MW FOWT (wave-tank SIL version), version 3.3.0 Sebastian Perez-Becker et al. https://doi.org/10.5281/zenodo.10634540

Deliverable 2.1 Aero-hydro-elastic model definition - DTU 10 MW RWT Hexafloat, version 4.0.0 Sebastian Perez-Becker and Robert Behrens de Luna https://doi.org/10.5281/zenodo.10634616

Short summary

A novel hydrodynamic module of QBlade is validated on three floating offshore wind turbine concepts with experiments and two widely used simulation tools. Further, a recently proposed method to enhance the prediction of slowly varying drift forces is adopted and tested in varying met-ocean conditions. The hydrodynamic capability of QBlade matches the current state of the art and demonstrates significant improvement regarding the prediction of slowly varying drift forces with the enhanced model.