TY - GEN
T1 - A concept for floating offshore wind mooring system integrity management based on monitoring, digital twin and control technologies
AU - Trueba, Alberto Puras
AU - Fernández, Jonathan
AU - Garrido-Mendoza, Carlos A.
AU - la Grotta, Alessandro
AU - Basurko, Jon
AU - Fonseca, Nuno
AU - Arrabi, Iratxe
AU - Savenije, Feike
AU - Pourmand, Payam
N1 - Publisher Copyright:
Copyright © 2021 by ASME
PY - 2021
Y1 - 2021
N2 - Efficient operation of mooring systems is of paramount importance to reduce floating offshore wind (FOW) energy costs. MooringSense is an R&D project which explores digitization to enable the implementation of more efficient integrity management strategies (IMS) for FOW mooring systems. In this work, the MooringSense concept is presented. It includes the development of several enablers such as a mooring system digital twin, a smart motion sensor, a structural health monitoring (SHM) system and control strategies at the individual turbine and farm levels. The core of the digital twin (DT) is a high-fidelity fully coupled numerical model which integrates simulation tools to allow predictive operation and maintenance (O&M). Relevant parameters of the coupled model are updated as physical properties evolve due to damages or degradation. The DT assimilates information coming from the physical asset and environmental sensors. Besides, a smart motion sensor provides feedback of the attitude, position, and velocity of the floater to allow the computation of virtual loads in the mooring lines, the detection of damages by the SHM system and the implementation of closed-loop control strategies. Finally, the IMS takes advantage of the mooring system updated condition information to optimize O&M, reduce costs and increase energy production.
AB - Efficient operation of mooring systems is of paramount importance to reduce floating offshore wind (FOW) energy costs. MooringSense is an R&D project which explores digitization to enable the implementation of more efficient integrity management strategies (IMS) for FOW mooring systems. In this work, the MooringSense concept is presented. It includes the development of several enablers such as a mooring system digital twin, a smart motion sensor, a structural health monitoring (SHM) system and control strategies at the individual turbine and farm levels. The core of the digital twin (DT) is a high-fidelity fully coupled numerical model which integrates simulation tools to allow predictive operation and maintenance (O&M). Relevant parameters of the coupled model are updated as physical properties evolve due to damages or degradation. The DT assimilates information coming from the physical asset and environmental sensors. Besides, a smart motion sensor provides feedback of the attitude, position, and velocity of the floater to allow the computation of virtual loads in the mooring lines, the detection of damages by the SHM system and the implementation of closed-loop control strategies. Finally, the IMS takes advantage of the mooring system updated condition information to optimize O&M, reduce costs and increase energy production.
KW - Digital twin
KW - Floating offshore wind
KW - Integrity management
KW - Mooring system
UR - https://www.scopus.com/pages/publications/85117124297
U2 - 10.1115/OMAE2021-61936
DO - 10.1115/OMAE2021-61936
M3 - Conference contribution
AN - SCOPUS:85117124297
T3 - Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
BT - Ocean Renewable Energy
PB - American Society of Mechanical Engineers (ASME)
T2 - 2021 40th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2021
Y2 - 21 June 2021 through 30 June 2021
ER -