Advanced multi-physics modeling of floating offshore wind turbines for aerodynamic design and load management

• A high-fidelity CFD-FEM model is developed for floating offshore wind turbine analysis. • Blade deformation and platform motion cause 6.84% power loss and strong load fluctuation. • High stress is observed at the tower base, platform braces, and blade root transition zones. • Elastic deformations of the blades intensify the aerodynamic load fluctuations. • Findings support improved wind farm layout, mooring design, and fatigue risk management. Floating offshore wind turbines (FOWTs) offer distinct advantages for improving the competitiveness of offshore wind energy. However, their operation involves complex dynamics characterized by multiple sources of loading, considerable temporal variability, and high nonlinearity. Understanding the multi-physics coupling mechanisms and subsystem interactions governing the behavior of FOWTs is essential for enhancing operational safety, increasing power output, and promoting commercial deployment. To address these challenges, this study develops a high-fidelity, fully coupled aero-elastic-hydro-mooring framework by integrating computational fluid dynamics (CFD) and the finite element method (FEM). The NREL 5 MW horizontal-axis wind turbine (HAWT) mounted on a semi-submersible platform is used as an exemplar to investigate its nonlinear dynamic responses under combined wind and wave loading. The results show that the platform’s six-degree-of-freedom motion leads to continuous changes in the rotor inflow conditions, resulting in a 6.84 % reduction in the average power coefficient compared with its bottom-fixed counterpart, and producing a noticeable increase in power fluctuations. Nevertheless, the wake behind the FOWT exhibits higher turbulence intensity and a faster rate of dissipation. The two-way fluid–structure interaction analysis indicates that the blades undergo flapwise elastic deformation, particularly from the mid-span to the tip, which alters the angle of attack and induces continuous vortex shedding along the trailing edges. The structural stress distribution highlights significant stress concentration at the tower base, the bottom of the main column, and the connections between the braces and the platform. Although blade stress remains relatively low overall, higher stresses are observed near the blade root transition and at the shear web connections. In addition, the contact opening analysis between the mooring lines and the seabed shows that the windward mooring line periodically separates from and recontacts the seabed due to the surge motion of the platform, resulting in varying contact pressure distributions and large fluctuations in the mooring tension.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Management
Published
2025-08-30
DOI
https://doi.org/10.1016/j.enconman.2025.120437
Citations
8
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
9.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced multi-physics modeling of floating offshore wind turbines for aerodynamic design and load management

Qingsong Liu, Gregório Iglesias, Chun Li, Haoda Huang
8 citations
Energy Conversion and Management
Wave and Wind Energy Systems
9.16
article

Advanced multi-physics modeling of floating offshore wind turbines for aerodynamic design and load management

Qingsong Liu, Gregório Iglesias, Chun Li, Haoda Huang
article en
8 citations

Abstract

• A high-fidelity CFD-FEM model is developed for floating offshore wind turbine analysis. • Blade deformation and platform motion cause 6.84% power loss and strong load fluctuation. • High stress is observed at the tower base, platform braces, and blade root transition zones. • Elastic deformations of the blades intensify the aerodynamic load fluctuations. • Findings support improved wind farm layout, mooring design, and fatigue risk management. Floating offshore wind turbines (FOWTs) offer distinct advantages for improving the competitiveness of offshore wind energy. However, their operation involves complex dynamics characterized by multiple sources of loading, considerable temporal variability, and high nonlinearity. Understanding the multi-physics coupling mechanisms and subsystem interactions governing the behavior of FOWTs is essential for enhancing operational safety, increasing power output, and promoting commercial deployment. To address these challenges, this study develops a high-fidelity, fully coupled aero-elastic-hydro-mooring framework by integrating computational fluid dynamics (CFD) and the finite element method (FEM). The NREL 5 MW horizontal-axis wind turbine (HAWT) mounted on a semi-submersible platform is used as an exemplar to investigate its nonlinear dynamic responses under combined wind and wave loading. The results show that the platform’s six-degree-of-freedom motion leads to continuous changes in the rotor inflow conditions, resulting in a 6.84 % reduction in the average power coefficient compared with its bottom-fixed counterpart, and producing a noticeable increase in power fluctuations. Nevertheless, the wake behind the FOWT exhibits higher turbulence intensity and a faster rate of dissipation. The two-way fluid–structure interaction analysis indicates that the blades undergo flapwise elastic deformation, particularly from the mid-span to the tip, which alters the angle of attack and induces continuous vortex shedding along the trailing edges. The structural stress distribution highlights significant stress concentration at the tower base, the bottom of the main column, and the connections between the braces and the platform. Although blade stress remains relatively low overall, higher stresses are observed near the blade root transition and at the shear web connections. In addition, the contact opening analysis between the mooring lines and the seabed shows that the windward mooring line periodically separates from and recontacts the seabed due to the surge motion of the platform, resulting in varying contact pressure distributions and large fluctuations in the mooring tension.

Energy Conversion and ManagementVol. 346
University of Liverpool (GB), University of Shanghai for Science and Technology (CN), University College Cork (IE), University of Plymouth (GB)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 2%
Wave and Wind Energy Systems
9.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.