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A frequency domain method for fully coupled modelling and dynamic analysis of floating wind turbines

Lookup NU author(s): Professor Zhiqiang Hu

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Abstract

© 2024 Elsevier Ltd. In design of Floating Wind Turbines (FWTs), balancing computational efficiency with analytical accuracy is crucial, a challenge often unmet by time-domain methods. This study innovatively develops and verifies an efficient frequency domain method for fully coupled modelling and dynamic analysis of FWTs, termed DARwind-FD. The tower of the FWT is conceptualised as a beam, with the rotor-nacelle assembly (RNA) and the floating platform envisaged as rigid bodies situated at each extremity. The aerodynamic loads are evaluated utilising the Blade Element Momentum (BEM) theory, supplemented with an analytical model accounting for added mass and damping. The hydrodynamic loads are assessed through the Linear Potential Flow theory, taking into account both first and second-order wave forces along with viscous effects. The mooring forces are analysed using a linearised stiffness matrix, derived from a quasi-static catenary methodology. The code-to-code verification of DARwind-FD is based on the OC4 DeepCwind semi-submersible platform with a 5MW wind turbine, aligns well with OpenFAST time-domain results in terms of dynamic responses such as platform motions, mooring tension, tower base bending moment, and nacelle acceleration under various conditions. The outcomes of this research offer robust technical support for the preliminary design and optimisation of FWTs, thereby contributing to the sustainable advancement of offshore wind energy systems.


Publication metadata

Author(s): Chen P, Cheng Z, Deng S, Hu Z, Moan T

Publication type: Article

Publication status: Published

Journal: Marine Structures

Year: 2025

Volume: 99

Print publication date: 01/01/2025

Online publication date: 02/11/2024

Acceptance date: 21/10/2024

ISSN (print): 0951-8339

ISSN (electronic): 1873-4170

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.marstruc.2024.103715

DOI: 10.1016/j.marstruc.2024.103715


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