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Other literature type . 2021
License: CC BY
Data sources: ZENODO
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Conference object . 2021
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2021
License: CC BY
Data sources: Datacite
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Monitoring, Digital Twin and Control Technologies for Mooring System Integrity Management in Floating Offshore Wind

Authors: Petar Jankovic; Jon Basurko; Jonathan Fernández; Nuno Fonseca; Carlos A. Garrido-Mendoza; Iratxe Arraibi; Alessandro La Grotta; +2 Authors

Monitoring, Digital Twin and Control Technologies for Mooring System Integrity Management in Floating Offshore Wind

Abstract

Efficient operation of mooring systems is of a major importance to reduce floating offshore wind energy costs. The MooringSense Project aims reduction of operational costs and increasing efficiency through the development of several enablers such as, a mooring system digital twin (DT), a smart motion sensor, a structural health monitoring system and control strategies at individual and farm levels. The concept takes advantage of mooring systems' updated condition information, provided by a DT and innovative monitoring and control technologies, to allow the implementation of risk-based integrity management plans and more holistic control strategies. This Integrity Management Strategy intends to make a change from unscheduled corrective maintenance interventions to a scheduled predictive maintenance, which results in reduced costs of services and optimized availability. The MooringSense concept involves the development of a set of technological tools that are currently under development.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green