Summary
The project MooringSense aims at reducing operational costs and increasing efficiency through the development of an efficient risk-based integrity management strategy for mooring systems based on an affordable and reliable on-line monitoring technology. The proposed solution will be enabled by the development of a low-cost smart sensor for FOWT motion monitoring, a Mooring System Digital Twin (DT) model, Structural Health Monitoring (SHM) techniques, as well as control strategies for mooring condition management tolerance at turbine and farm levels.
The monitoring technology proposed will replace the existing unreliable and expensive monitoring systems based on load cells in the mooring lines by a combination of a robust motion sensor and numerical models. In addition, measurements will enable the development of more efficient operation and maintenance strategies, including optimized control.
MooringSense’s consortium strength covers the full value chain, with a proven track record in the Offshore Wind and Oil and Gas Industries, and supported by experienced research institutions, the project will start from current partner’s technology to develop an innovative cost-efficient mooring integrity management enabled by Global Navigation Satellite System technology, coupled numerical modelling, control engineering and machine learning, with both increased efficiency of the overall resulting system as well as reduced operational expenditures, when compared with known incumbent alternatives.
The monitoring technology proposed will replace the existing unreliable and expensive monitoring systems based on load cells in the mooring lines by a combination of a robust motion sensor and numerical models. In addition, measurements will enable the development of more efficient operation and maintenance strategies, including optimized control.
MooringSense’s consortium strength covers the full value chain, with a proven track record in the Offshore Wind and Oil and Gas Industries, and supported by experienced research institutions, the project will start from current partner’s technology to develop an innovative cost-efficient mooring integrity management enabled by Global Navigation Satellite System technology, coupled numerical modelling, control engineering and machine learning, with both increased efficiency of the overall resulting system as well as reduced operational expenditures, when compared with known incumbent alternatives.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/851703 |
Start date: | 01-11-2019 |
End date: | 31-10-2022 |
Total budget - Public funding: | 4 197 620,00 Euro - 4 197 620,00 Euro |
Cordis data
Original description
The project MooringSense aims at reducing operational costs and increasing efficiency through the development of an efficient risk-based integrity management strategy for mooring systems based on an affordable and reliable on-line monitoring technology. The proposed solution will be enabled by the development of a low-cost smart sensor for FOWT motion monitoring, a Mooring System Digital Twin (DT) model, Structural Health Monitoring (SHM) techniques, as well as control strategies for mooring condition management tolerance at turbine and farm levels.The monitoring technology proposed will replace the existing unreliable and expensive monitoring systems based on load cells in the mooring lines by a combination of a robust motion sensor and numerical models. In addition, measurements will enable the development of more efficient operation and maintenance strategies, including optimized control.
MooringSense’s consortium strength covers the full value chain, with a proven track record in the Offshore Wind and Oil and Gas Industries, and supported by experienced research institutions, the project will start from current partner’s technology to develop an innovative cost-efficient mooring integrity management enabled by Global Navigation Satellite System technology, coupled numerical modelling, control engineering and machine learning, with both increased efficiency of the overall resulting system as well as reduced operational expenditures, when compared with known incumbent alternatives.
Status
CLOSEDCall topic
LC-SC3-RES-14-2019Update Date
26-10-2022
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