Hydrodynamic Performance and Motion Response of a Novel Deep-Water TLP Floating Offshore Wind Turbine

The deployment of floating offshore wind turbines (FOWTs) in deep, typhoon-prone waters like the South China Sea requires platforms with exceptional stability. However, the performance validation of novel Tension Leg Platform (TLP) concepts under such extreme metocean conditions remains a significant research gap. This study addresses this by numerically evaluating a novel TLP design, including a regular hexagonal topology, a unique bracing structure and heave plates, and an increased ballast-tank height. A coupled numerical framework, integrating potential-flow theory and blade element momentum (BEM) theory within ANSYS-AQWA (2023), was established to simulate the TLP’s dynamic response to combined irregular wave, current, and turbulent wind loads. The resulting time-series data were analyzed using the Continuous Wavelet Transform (CWT) to investigate non-stationary dynamics and capture transient peak loads critical for fatigue sizing, which demonstrated the platform’s superior stability. Under a significant wave height of 11.4 m, the platform’s maximum heave was limited to 0.86 m and its maximum pitch did not exceed 0.3 degrees. Crucially, the maximum tension in the tendons remained below 22% of their minimum breaking load. The primary contribution of this work is the quantitative validation of a novel TLP design’s resilience in an understudied, harsh deep-water environment, confirming the feasibility of the concept and presenting a viable pathway for FOWT deployment in challenging offshore regions.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-11-11
DOI
https://doi.org/10.3390/jmse13112131
Citations
1
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
1.15
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article

Hydrodynamic Performance and Motion Response of a Novel Deep-Water TLP Floating Offshore Wind Turbine

Ronghua Zhu, Huaqi Yuan, Ke Sun, Huihua Qian et al.
1 citations
Journal of Marine Science and Engineering
Wave and Wind Energy Systems
1.15
article

Hydrodynamic Performance and Motion Response of a Novel Deep-Water TLP Floating Offshore Wind Turbine

Ronghua Zhu, Huaqi Yuan, Ke Sun, Huihua Qian, Yingchun Xie, Chunlong Li, Zongyuan Lai
article en
1 citations

Abstract

The deployment of floating offshore wind turbines (FOWTs) in deep, typhoon-prone waters like the South China Sea requires platforms with exceptional stability. However, the performance validation of novel Tension Leg Platform (TLP) concepts under such extreme metocean conditions remains a significant research gap. This study addresses this by numerically evaluating a novel TLP design, including a regular hexagonal topology, a unique bracing structure and heave plates, and an increased ballast-tank height. A coupled numerical framework, integrating potential-flow theory and blade element momentum (BEM) theory within ANSYS-AQWA (2023), was established to simulate the TLP’s dynamic response to combined irregular wave, current, and turbulent wind loads. The resulting time-series data were analyzed using the Continuous Wavelet Transform (CWT) to investigate non-stationary dynamics and capture transient peak loads critical for fatigue sizing, which demonstrated the platform’s superior stability. Under a significant wave height of 11.4 m, the platform’s maximum heave was limited to 0.86 m and its maximum pitch did not exceed 0.3 degrees. Crucially, the maximum tension in the tendons remained below 22% of their minimum breaking load. The primary contribution of this work is the quantitative validation of a novel TLP design’s resilience in an understudied, harsh deep-water environment, confirming the feasibility of the concept and presenting a viable pathway for FOWT deployment in challenging offshore regions.

Journal of Marine Science and EngineeringVol. 13(11)
Zhejiang Ocean University (CN), Zhejiang Energy Research Institute (CN), China Energy Engineering Corporation (China) (CN), China Power Engineering Consulting Group (China) (CN), Zhejiang University (CN)
Openalex Percentile: Top 17%
Wave and Wind Energy Systems
1.15
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