Mechanism of mooring line breakage of floating offshore wind turbine under extreme coherent gust with direction change condition

Ma, Gang; Zhong, Liang‐Cai; Zhang, Xu; Ma, Qingwei; Kang, Hooi-Siang

doi:10.1007/s00773-020-00714-9

Cited by 29 publications

(10 citation statements)

References 18 publications

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“…The dynamic models are based on either the lumped mass approach (similar to MBD) [98,107,[214][215][216], FEA [94,95,210,217], or the finite difference (FD) method [218]. The hydrodynamic drag and added mass are considered for all the elements resulting from line discretization.…”

Section: Dynamic Methodsmentioning

confidence: 99%

A Review of Numerical and Physical Methods for Analyzing the Coupled Hydro–Aero–Structural Dynamics of Floating Wind Turbine Systems

Maali Amiri,

Shadman,

Estefen

2024

JMSE

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Recently, more wind turbine systems have been installed in deep waters far from the coast. Several concepts of floating wind turbine systems (FWTS) have been developed, among which, the semi-submersible platform—due to its applicability in different water depths, good hydrodynamic performance, and facility in the installation process—constitutes the most explored technology compared to the others. However, a significant obstacle to the industrialization of this technology is the design of a cost-effective FWTS, which can be achieved by optimizing the geometry, size, and weight of the floating platform, together with the mooring system. This is only possible by selecting a method capable of accurately analyzing the FWTS-coupled hydro–aero–structural dynamics at each design stage. Accordingly, this paper provides a detailed overview of the most commonly coupled numerical and physical methods—including their basic assumptions, formulations, limitations, and costs used for analyzing the dynamics of FWTS, mainly those supported by a semi-submersible—to assist in the choice of the most suitable method at each design phase of the FWTS. Finally, this article discusses possible future research directions to address the challenges in modeling FWTS dynamics that persist to date.

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Section: Dynamic Methodsmentioning

confidence: 99%

A Review of Numerical and Physical Methods for Analyzing the Coupled Hydro–Aero–Structural Dynamics of Floating Wind Turbine Systems

Maali Amiri,

Shadman,

Estefen

2024

JMSE

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“…In addition, unlike floating production storage and offloading (FPSO) vessels, where there are typically between 12 and 24 MoLs, economic drivers within the renewables sector tend to produce designs with no redundancy (Fugro 2020). For this reason, each MoL is critical to the FOWT structure, and failure is catastrophic (Ma et al 2020). Nevertheless, the extreme conditions in which MoLs operate call for regular inspections to prevent disastrous failures and downtime.…”

Section: Introductionmentioning

confidence: 99%

“…Similar considerations should also be made towards the safety of the maintenance operations. In fact, since a failure could be catastrophic (Ma et al 2020), developing an early warning system able to predict a failure early enough to secure a safe working environment is essential to ensure the safety of maintenance operations.…”

Section: Introductionmentioning

confidence: 99%

Digital twins of the mooring line tension for floating offshore wind turbines to improve monitoring, lifespan, and safety

Walker

Coraddu

Collu

et al. 2021

J. Ocean Eng. Mar. Energy

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The number of installed floating offshore wind turbines (FOWTs) has doubled since 2017, quadrupling the total installed capacity, and is expected to increase significantly over the next decade. Consequently, there is a growing consideration towards the main challenges for FOWT projects: monitoring the system’s integrity, extending the lifespan of the components, and maintaining FOWTs safely at scale. Effectively and efficiently addressing these challenges would unlock the wide-scale deployment of FOWTs. In this work, we focus on one of the most critical components of the FOWTs, the Mooring Lines (MoLs), which are responsible for fixing the structure to the seabed. The primary mechanical failure mechanisms in MoLs are extreme load and fatigue, both of which are functions of the axial tension. An effective solution to detect long-term drifts in the mechanical response of the MoLs is to develop a Digital Twin (DT) able to accurately predict the behaviour of the healthy system to compare with the actual one. Moreover, we will develop another DT able to accurately predict the near future axial tension as an effective tool to improve the lifespan of the MoLs and the safety of FOWT maintenance operations. In fact, by changing the FOWT operational settings, according to the DT prediction, operators can increase the lifespan of the MoLs by reducing the stress and, additionally, in the case where FOWT operational maintenance is in progress, the prediction from the DT can serve as early safety warning to operators. Authors will leverage operational data collected from the world’s first commercial floating-wind farm [the Hywind Pilot Park (https://www.equinor.com/en/what-we-do/floating-wind/hywind-scotland.html.)] in 2018, to investigate the effectiveness of DTs for the prediction of the MoL axial tension for the two scenarios depicted above. The DTs will be developed using state-of-the-art data-driven methods, and results based on real operational data will support our proposal.

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“…In addition, unlike Floating Production Storage and Offloading (FPSO) vessels, where there are typically between 12 and 24 MoLs, economic drivers within the renewables sector tend to produce designs with no redundancy [6]. For this reason, each MoL is critical to the FOWT structure, and failure is catastrophic [7]. Nevertheless, the extreme conditions in which MoLs operate call for regular inspections to prevent disastrous failures and downtime.…”

Section: Introductionmentioning

confidence: 99%

“…Similar considerations should also be made towards the safety of the maintenance operations. In fact, since a failure could be catastrophic [7], developing an early warning system able to predict a failure early enough to secure a safe working environment is essential to ensure the safety of maintenance operations.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin of the Mooring Line Tension for Floating Offshore Wind Turbines

Walker

Coraddu

Oneto

et al. 2021

OCEANS 2021: San Diego – Porto

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The number of installed Floating Offshore Wind Turbines (FOWTs) has doubled since 2017, quadrupling the total installed capacity, and is expected to increase significantly over the next decade. Consequently, there is a growing consideration towards the main challenges for FOWT projects: monitoring the system's integrity, extending the lifespan of the components, and maintaining FOWTs safely at scale. Effectively and efficiently addressing these challenges would unlock the wide-scale deployment of FOWTs. In this work, we focus on one of the most critical components of the FOWTs, the Mooring Lines (MoLs), which are responsible for fixing the structure to the seabed. The primary mechanical failure mechanisms in MoLs are extreme load and fatigue, both of which are functions of the axial tension. An effective solution to detect long term drifts in the mechanical response of the MoLs is to develop a Digital Twin (DT) able to accurately predict the behaviour of the healthy system to compare with the actual one. Authors will leverage operational data collected from the world's first commercial floating wind farm (Hywind Pilot Park 1 ) in 2018, to investigate the effectiveness of the DT for the prediction of the MoL axial tension. The DT will be developed using state-of-the-art data-driven methods, and results based on real operational data will support our proposal.

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Mechanism of mooring line breakage of floating offshore wind turbine under extreme coherent gust with direction change condition

Cited by 29 publications

References 18 publications

A Review of Numerical and Physical Methods for Analyzing the Coupled Hydro–Aero–Structural Dynamics of Floating Wind Turbine Systems

A Review of Numerical and Physical Methods for Analyzing the Coupled Hydro–Aero–Structural Dynamics of Floating Wind Turbine Systems

Digital twins of the mooring line tension for floating offshore wind turbines to improve monitoring, lifespan, and safety

Digital Twin of the Mooring Line Tension for Floating Offshore Wind Turbines

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