Abstract
The floating platforms on which floating offshore wind turbines are mounted introduce considerable complexity in terms of dynamic motion. Understanding the extreme response of these marine structures is important. One such extreme response is the nacelle accelerations, which can cause damage to nacelle components, such as the generator, and should therefore be kept to a minimum. Tank testing is a tool which can be used to understand the behaviour of these structures, and to determine extreme response. Here, a method of estimating the most likely extreme nacelle accelerations from a tank testing programme is shown, using a 1:100 scaled model of the IEA 15 MW turbine with the Volturn-US semi-submersible platform. The results showed that the most likely extreme nacelle accelerations within the chosen 50-year return sea state are 0.195 g in the fore-aft direction, with a typical safety limit of 0.2–0.4 g. Extreme statistical analysis was carried out on the data obtained by a 3-DOF accelerometer, using the peaks-over-threshold (POT) method fitted to a generalised Pareto distribution (GPD). Threshold selection and declustering of data are also discussed. The results may be applied to further test programmes, aiding in the development and design of current or novel floating platforms in any programmable sea state.
Original language | English |
---|---|
Title of host publication | Proceedings of ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering |
Place of Publication | New York, NY |
Number of pages | 8 |
Volume | 7 |
DOIs | |
Publication status | Published - 9 Aug 2024 |
Event | ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering - Singapore, Singapore Duration: 9 Jun 2024 → 14 Jun 2024 https://event.asme.org/OMAE |
Conference
Conference | ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering |
---|---|
Abbreviated title | OMAE® 2024 |
Country/Territory | Singapore |
City | Singapore |
Period | 9/06/24 → 14/06/24 |
Internet address |
Keywords
- floating wind turbines
- tank testing
- peaks-over-threshold
- generalised Pareto distribution
- extreme statistics
- extreme waves