Abstract
As a result of more stable wind conditions and the depletion of near-shore locations, wind farms are moving farther offshore into deeper waters, challenging the current limits of offshore heavy-lift operations. This paper presents and verifies a novel frequency-domain framework to perform extensive site-specific analysis, of floating installations of wind-turbine towers, subjected to wind and wave loads. The versatility and potential of this framework is demonstrated with a case-study of a wind farm near the coast of Portugal. The results lead to the following conclusions: (1) Only considering beam-seas the yearly workability is 39 %; (2) Workability is mostly limited by wave loads; (3) Tower motions tend to decrease with tower size and are not significantly affected by hook-tower distance (sling length); and finally, (4) In this case-study the most contributing frequencies for tower motions are 0.3 and 0.4 rad/s, corresponding mainly to the first pendulation mode.
Original language | English |
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Article number | 116952 |
Number of pages | 11 |
Journal | Ocean Engineering |
Volume | 297 |
DOIs | |
Publication status | Published - 2024 |
Funding
This work is part of the “DOT 6000 - Floating Offshore installation XXL wind turbines”, where Delft Offshore Turbine B.V., Heerema Marine Contractors Nederland SE and Techische Universiteit Delft have teamed up. Funding was provided by RVO , with the grant number TEHE119004 . We further would like to acknowledge Rolf van Huffelen and Alejandro Velez Isaza, for supporting this research with their technical expertise in the field of offshore heavy-lift operations.Keywords
- Dynamic error budgeting
- Heavy lift
- Offshore wind
- Sensitivity analysis
- Stochastic disturbances
- Workability analysis
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Full-Scale Measurement Data of the Floating Installation of an Offshore Wind Turbine Tower
Fidalgo Domingos, D. A. (Creator), Atzampou, P. (Creator), Meijers, P. C. (Creator), Beirão, S. (Creator), Metrikine, A. (Creator), van Wingerden, J. W. (Creator) & Wellens, P. R. (Creator), TU Delft - 4TU.ResearchData, 2024
DOI: 10.4121/17AE06BB-7DA0-4045-AC81-484FA52AF13F
Dataset/Software: Dataset
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Prometheus: An Open-Source SSCV
Fidalgo Domingos, D. A. (Creator), Wellens, P. R. (Creator) & van Wingerden, J. W. (Creator), TU Delft - 4TU.ResearchData, 28 Feb 2024
DOI: 10.4121/aa0a24fc-b7e2-4e05-b0cb-f1dc2af1c9ac
Dataset/Software: Dataset