Comparative study on coupled dynamic characteristics of four-rotor floating offshore wind turbines under operating and fault conditions

Upscaling floating offshore wind turbines (FOWTs) aggravates the weight, blade flutter and installation limitations of conventional single-rotor schemes, making multi-rotor wind turbines (MRWTs) a promising alternative. However, the dynamic characteristics and fault response mechanisms of four-rotor FOWTs remain insufficiently understood. This study establishes a fully coupled numerical model of a 20 MW four-rotor FOWT and compares its dynamic performance with an equivalent single-rotor FOWT. The results show that rotor phase differences eliminate 1P/2P periodic loads, providing stable dynamic responses and shortening the startup time by 80 s for the four-rotor FOWT. Under coupled wind-wave conditions, the four-rotor FOWT exhibits larger platform motion and mooring line tension fluctuations due to frequent blade pitching. Faults trigger remarkable asymmetric structural responses: single-rotor fault yields 2.3 m sway, 6° yaw and tower-base torsional moment 18 times the baseline; diagonal dual-rotor fault results in 12° yaw with torsional moment amplified to 37 times the baseline. Combined fault condition of mooring line 3 and rotors further induces large platform horizontal excursion and nearly 30° yaw deflection. This study verifies the load-mitigation and fault-tolerance merits of four-rotor FOWTs from rotor redundancy and highlights critical torsional risks under asymmetric faults, supporting the design and operation of large-scale MRWTs.

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Publication Details

Journal
Ocean Engineering
Published
2026-10-05
DOI
https://doi.org/10.1016/j.oceaneng.2026.128511
Primary Topic
Wave and Wind Energy Systems
Type
article
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article

Comparative study on coupled dynamic characteristics of four-rotor floating offshore wind turbines under operating and fault conditions

Jiahao Chen, Kaiwen Wang, Yanfei Deng, Hongqing Wang et al.
Ocean Engineering
Wave and Wind Energy Systems
article

Comparative study on coupled dynamic characteristics of four-rotor floating offshore wind turbines under operating and fault conditions

Jiahao Chen, Kaiwen Wang, Yanfei Deng, Hongqing Wang, Chao Hu
article en

Abstract

Upscaling floating offshore wind turbines (FOWTs) aggravates the weight, blade flutter and installation limitations of conventional single-rotor schemes, making multi-rotor wind turbines (MRWTs) a promising alternative. However, the dynamic characteristics and fault response mechanisms of four-rotor FOWTs remain insufficiently understood. This study establishes a fully coupled numerical model of a 20 MW four-rotor FOWT and compares its dynamic performance with an equivalent single-rotor FOWT. The results show that rotor phase differences eliminate 1P/2P periodic loads, providing stable dynamic responses and shortening the startup time by 80 s for the four-rotor FOWT. Under coupled wind-wave conditions, the four-rotor FOWT exhibits larger platform motion and mooring line tension fluctuations due to frequent blade pitching. Faults trigger remarkable asymmetric structural responses: single-rotor fault yields 2.3 m sway, 6° yaw and tower-base torsional moment 18 times the baseline; diagonal dual-rotor fault results in 12° yaw with torsional moment amplified to 37 times the baseline. Combined fault condition of mooring line 3 and rotors further induces large platform horizontal excursion and nearly 30° yaw deflection. This study verifies the load-mitigation and fault-tolerance merits of four-rotor FOWTs from rotor redundancy and highlights critical torsional risks under asymmetric faults, supporting the design and operation of large-scale MRWTs.

Ocean EngineeringVol. 368
Sun Yat-sen University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN), Ocean University of China (CN), South China University of Technology (CN)
Openalex Percentile: Top 16%
Wave and Wind Energy Systems
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Comparative study on coupled dynamic characteristics of four-rotor floating offshore wind turbines under operating and fault conditions — Jiahao Chen, Kaiwen Wang, et al. · Ocean Engineering (2026) | TGRS Research Map | TGRS