Motion and elastic response of wind-tracing floating offshore wind turbines

Lamei, Azin; Hayatdavoodi, Masoud; Riggs, H. R.

doi:10.1007/s40722-022-00250-1

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…One is the aero-hydro-elastic analysis performed in ref. [17] for a three-rotor semi-submersible concept, obtaining the wet natural mode shapes.…”

Section: Introductionmentioning

confidence: 99%

Numerical Framework for the Coupled Analysis of Floating Offshore Multi-Wind Turbines

Berdugo-Parada,

Servan-Camas,

Garcia-Espinosa

2023

JMSE

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Floating offshore multi-wind turbines (FOMWTs) are an interesting alternative to the up-scaling of wind turbines. Since this is a novel concept, there are few numerical tools for its coupled dynamic assessment at the present time. In this work, a numerical framework is implemented for the simulation of multi-rotor systems under environmental excitations. It is capable of analyzing a platform using leaning towers that handle wind turbines with their own features and control systems. This tool is obtained by coupling the seakeeping hydrodynamics solver SeaFEM with the single wind turbine simulation tool OpenFAST. The coupling of SeaFEM provides a higher fidelity hydrodynamic solution, allowing the simulation of any structural design using the finite element method (FEM). Additionally, a methodology is proposed for the extension of the single wind solver, allowing for the analysis of multi-rotor configurations. To do so, the solutions of the wind turbines are computed independently using several OpenFAST instances, performing its dynamic interaction through the floater. This method is applied to the single turbine Hywind concept and the twin-turbine W2Power floating platform, supporting NREL 5-MW wind turbines. The rigid-body response amplitude operators (RAOs) are computed and compared with other numerical tools. The results showed consistency in the developed framework. An agreement was also obtained in simulations with aerodynamic loads. This resulting tool is a complete time-domain aero–hydro–servo–elastic solver that is able to compute the combined response and power generation performance of multi-rotor systems.

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“…One is the aero-hydro-elastic analysis performed in ref. [17] for a three-rotor semi-submersible concept, obtaining the wet natural mode shapes.…”

Section: Introductionmentioning

confidence: 99%

Numerical Framework for the Coupled Analysis of Floating Offshore Multi-Wind Turbines

Berdugo-Parada,

Servan-Camas,

Garcia-Espinosa

2023

JMSE

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“…With the increasingly serious global climate change and tense resources in recent years, the development and utilization of renewable energy have become the focus of global attention [1][2][3][4][5][6]. As a green and clean energy source, wind energy is important in the global renewable energy market.…”

Section: Introductionmentioning

confidence: 99%

Damage Identification Method of Wind Turbine Generator System Blades Based on Image Processing Technology

Qin¹,

Zou²,

He³

et al. 2023

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In order to ensure the efficient operation of wind turbine generator system (WTGS) and the safety and stability of wind farms, it is necessary to promptly detect and repair the blade damage. The traditional methods of detecting WTGS blade damage mainly rely on manual inspection, which is time-consuming, laborious, and has low accuracy. Therefore, it is of important practical significance to study the damage identification method of WTGS blades based on image processing technology. Due to the drawbacks of existing methods, this research aimed to study the damage identification method of WTGS blades based on image processing technology. A method of expanding blade damage samples based on the improved Deep Convolutional Generative Adversarial Networks (DCGAN) was first proposed, which generated a high quality damage image sample set to improve the classification performance of the deep learning model. For the problem of damage images often affected by noise and environmental factors in practical scenarios, it was solved by morphology-based blade damage edge enhancement. In addition, the blade damage state evaluation and classification process based on multifractal spectrum (MFS) was provided. Finally, the experimental results verified that the proposed algorithm was effective.

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Motion and elastic response of wind-tracing floating offshore wind turbines

Lamei

Hayatdavoodi

Riggs

2022

J. Ocean Eng. Mar. Energy

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A multi-unit floating offshore wind turbine concept, the wind-tracing floating offshore wind turbine, is introduced. In this concept, the floating structure is a triangular platform that hosts three 5 MW wind turbines and is moored to the seabed with a turret-bearing mooring system. This mooring system allows the structure to rotate about the turret such that the total yaw moment by the environmental load on the turret is minimized. In this study, the optimum properties of the mooring lines and the location of the turret are determined. To identify the preferred location of the turret, the responses of the structure to combined co-directional and misaligned wind and wave loads are computed. The motions of the structure are obtained with a frequency-domain numerical model integrated with structural finite-element method for hydroelastic and aeroelastic analyses. The hydrodynamic and aerodynamic loads are obtained by wave diffraction theory and steady blade element momentum method, respectively. Finally, with the optimum configuration of the mooring system, the motion and aero- and hydroelastic responses of the fully flexible wind-tracing floating offshore wind turbines to combined waves and wind loads are determined and discussed.

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Motion and elastic response of wind-tracing floating offshore wind turbines

Cited by 6 publications

References 21 publications

Numerical Framework for the Coupled Analysis of Floating Offshore Multi-Wind Turbines

Numerical Framework for the Coupled Analysis of Floating Offshore Multi-Wind Turbines

Damage Identification Method of Wind Turbine Generator System Blades Based on Image Processing Technology

Motion and elastic response of wind-tracing floating offshore wind turbines

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