Digital Twin of the Mooring System

Digital Twin technology that will be developed within the MooringSense project will integrate a detailed digital replica of the mooring system.The solution will be based on improved high fidelity coupled numerical models and advanced simulation tools that will be used to provide updated condition information, supported by real sensor measurements, and integrated within a risk-based integrity management plan. Some functionalities that will be achieved are:

  • Real time virtual measurement of mooring line tensions.
  • Accurate prediction of remaining useful time of the mooring system components.
  • Continuous update of Ultimate Limit State and Accidental Limit States safety factors.
  • More accurate modelling of typical degradation states and damages.
  • Improved operation prediction.
Smart Motion Sensor

A very low-cost and robust smart motion sensor will be designed and developed. This sensor will provide highly accurate Attitude, Position, Velocity and Time information, as well as, statistical distinguishing motion features that are representative of the mooring system performance:

The main functionalities that will be achieved within MooringSense project are:

  • Self-content, robust and low-cost solution based on GNSS multi-constellation and multi-frequency mass market receiver technology.
  • High accuracy: Centimetre level accuracy in position, Millimetre per second level in velocity, Tenth of degree level in attitude.
  • Real time operation and communication capabilities.
  • Time and frequency domains processing capabilities.
Structural health monitoring (SHM) system

Early fault detection algorithms will be designed and developed by following a data-driven approach.The algorithms will be able to exploit GNSS motion measurements and the predicted operation parameters provided by the Digital Twin to detect and classify damages in the mooring systems.

Floating offshore wind turbine (FOWT) Control

Control strategies and algorithms will be developed with the aim of optimizing operation. Control algorithms will take advantage of floating platform motion and mooring system condition information. The control strategies that will be implemented are:

  • Blade pitch control with the feedback of the floating platform attitude measurements.
  • Dynamic loading control of the mooring lines.
  • Distribution of turbine operating thrust level set points based on updated mooring systems’ condition information.
Integrity Management Strategy

A mooring integrity management strategy to leverage the MooringSense developments intended to reduce operational costs and to increase efficiency while keeping risks in acceptable levels. The strategy will cover the following integrity management fields:

  • Monitoring: Use of motion measurements obtained from a low-cost sensor and predictions from the Digital Twin.
  • Risk-Based approach: Inspection intervals will be based on component criticality so to reduce inspection costs. Location of inspection selected based on risk levels.
  • Integrity assessment: Mooring line anomalies identified by the SHM system or by comparing real performances with predictions provided by the Digital Twin.
  • Operation: Assisted by decision support tools it will imply the optimization of turbine control parameters for increased energy production.
  • Intervention and repair: optimization of maintenance planning based on reliable condition information. This will require the improvement of cost assessment methods.
  • Emergency response: Definition of performance envelopes.