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Review

Review of Coupled Dynamic Modeling Methods for Floating Offshore Wind Turbines

1
School of Ocean Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
2
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
Energies 2026, 19(1), 205; https://doi.org/10.3390/en19010205 (registering DOI)
Submission received: 5 November 2025 / Revised: 17 December 2025 / Accepted: 29 December 2025 / Published: 30 December 2025
(This article belongs to the Special Issue Computation Modelling for Offshore Wind Turbines and Wind Farms)

Abstract

Floating offshore wind turbines (FOWTs) are subjected to multiple environmental loads that induce complex coupled dynamic responses. The development of coupled dynamic methods is therefore essential for FOWT analysis and design and has long attracted significant research attention. This paper presents a comprehensive review of the recent advances in coupled dynamic modeling methods and associated numerical tools for FOWTs. First, the fundamental dynamic components are introduced, including aerodynamics, hydrodynamics, elastodynamics, mooring dynamics, and servodynamics. Next, coupled modeling approaches, such as fully coupled, semi-coupled, and frequency-domain methods, are reviewed and compared in terms of their applicability. The paper then outlines the software tools developed based on these methodologies, along with major international code comparison and validation campaigns. Finally, emerging trends in FOWT coupled dynamics are briefly discussed, including integrated marine energy systems, advanced wake modeling, and the incorporation of artificial intelligence techniques in prediction. This paper systematically synthesizes current knowledge on coupled dynamic methods for FOWTs, providing a foundation for future research while also serving as a practical reference for advancing this area of study.
Keywords: floating offshore wind turbines; coupled dynamic methods; numerical software; floating wind farm; artificial intelligence algorithms floating offshore wind turbines; coupled dynamic methods; numerical software; floating wind farm; artificial intelligence algorithms

Share and Cite

MDPI and ACS Style

Chen, J. Review of Coupled Dynamic Modeling Methods for Floating Offshore Wind Turbines. Energies 2026, 19, 205. https://doi.org/10.3390/en19010205

AMA Style

Chen J. Review of Coupled Dynamic Modeling Methods for Floating Offshore Wind Turbines. Energies. 2026; 19(1):205. https://doi.org/10.3390/en19010205

Chicago/Turabian Style

Chen, Jiahao. 2026. "Review of Coupled Dynamic Modeling Methods for Floating Offshore Wind Turbines" Energies 19, no. 1: 205. https://doi.org/10.3390/en19010205

APA Style

Chen, J. (2026). Review of Coupled Dynamic Modeling Methods for Floating Offshore Wind Turbines. Energies, 19(1), 205. https://doi.org/10.3390/en19010205

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