A Digital Twin for Assessment of Remaining Useful Life of Offshore Wind Turbines Structure.

Pacheco-Blazquez, Rafael; Garcia-Espinosa, Julio; Di Capua, Daniel; Pastor, Andres

doi:10.20944/preprints202403.0749.v1

2024

DOI: 10.20944/preprints202403.0749.v1

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A Digital Twin for Assessment of Remaining Useful Life of Offshore Wind Turbines Structure.

Rafael Pacheco-Blazquez,

Julio Garcia-Espinosa,

Daniel Di Capua

et al.

Abstract: This paper delves into the application of digital twin monitoring techniques for enhancing offshore floating wind turbine performance, with a detailed case study. We explore the practical implementation of digital twins and their efficacy in optimizing operations and predictive maintenance. Our findings emphasize digital twins' potential as a valuable tool for renewable energy, driving efficiency and sustainability in offshore floating wind installations.

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Cited by 3 publications

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Immersive Digital Twin under ISO 23247 Applied to Flexible Manufacturing Processes

Caiza,

Sanz

2024

Applied Sciences

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Digital twin (DT) technology provides a path for implementing cyber–physical systems (CPS) and developing smart manufacturing because they are essential tools for monitoring and controlling manufacturing processes. It is considered a vital technology in smart manufacturing and is being widely researched in academia and industry. Furthermore, the combination of DTs and immersive environments has shown great potential for integrating novel capabilities into the new generation of CPS. This research presents an architecture for implementing immersive digital twins under ISO 23247 in flexible manufacturing processes. The proposed system is based on the integration of DT technologies in conjunction with augmented reality (AR) and gesture tracking, and validation was performed in the sorting station of the MPS 500 to increase the interaction and flexibility between physical and virtual environments in real time, thus enhancing the capabilities of the DT. The methodology used for the design and implementation of the DT includes (1) general principles and requirements; (2) models with functional views based on domains and entities; (3) attributes of the observable manufacturing elements; and (4) protocols for the exchange of information between entities. The results show that the integration of these technologies improves the monitoring, control, and simulation capabilities of processes using 3D resources and immersive environments, achieving a higher level of interactivity. In addition, error detection tests were carried out, where a reduction of time was observed in the resolution of errors that may be caused by internal or external disturbances of the process, thus avoiding production delays.

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Immersive Digital Twin under ISO 23247 Applied to Flexible Manufacturing Processes

Caiza,

Sanz

2024

Applied Sciences

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Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term Intervals

Matrenin,

Harlashkin,

Mazunina

et al. 2024

ASI

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The accurate prediction of wind power generation, as well as the development of a digital twin of a wind turbine, require estimation of the power curve. Actual measurements of generated power, especially over short-term intervals, show that in many cases the power generated differs from the calculated power, which considers only the wind speed and the technical parameters of the wind turbine. Some of these measurements are erroneous, while others are influenced by additional factors affecting generation beyond wind speed alone. This study presents an investigation of the features influencing the accuracy of calculations of wind turbine power at short-term intervals. The open dataset of SCADA-system measurements from a real wind turbine is used. It is discovered that using ensemble machine learning models and additional features, including the actual power from the previous time step, enhances the accuracy of the wind power calculation. The root-mean-square error achieved is 113 kW, with the nominal capacity of the wind turbine under consideration being 3.6 MW. Consequently, the ratio of the root-mean-square error to the nominal capacity is 3%.

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Wind and Wave-Induced Vibration Reduction Control for Floating Offshore Wind Turbine Using Delayed Signals

Yan,

Wang,

Pang

et al. 2024

JMSE

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Active vibration control is a critical issue of the wind turbine in the field of marine energy. First, based on a three-degree-of-freedom wind turbine, a state space model subject to wind and wave loads is obtained. Then, a delayed state feedback control scheme is illustrated to reduce the vibration of platform pitch angle and tower top foreaft displacement, where the control channel includes time-delay state signals. The designed controller’s existence conditions are investigated. The simulation results show that the delayed feedback H∞ controller can significantly suppress wind- and wave-induced vibration of the wind turbine. Furthermore, it presents potential advantages over the delay-free feedback H∞ controller and the classic linear quadratic regulator in two aspects: vibration control performance and control cost.

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A Digital Twin for Assessment of Remaining Useful Life of Offshore Wind Turbines Structure.

Cited by 3 publications

References 17 publications

Immersive Digital Twin under ISO 23247 Applied to Flexible Manufacturing Processes

Immersive Digital Twin under ISO 23247 Applied to Flexible Manufacturing Processes

Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term Intervals

Wind and Wave-Induced Vibration Reduction Control for Floating Offshore Wind Turbine Using Delayed Signals

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