Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing
This is the author accepted manuscript. The floating platforms on which floating offshore wind tur bines 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 acce...
Main Authors: | , , , , |
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Format: | Conference Object |
Language: | English |
Published: |
American Society of Mechanical Engineers (ASME)
2024
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Subjects: | |
Online Access: | http://hdl.handle.net/10871/136400 |
_version_ | 1821789188145545216 |
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author | McMillan, A McDonald, A Pillai, AC Yuan, Z Davey, T |
author_facet | McMillan, A McDonald, A Pillai, AC Yuan, Z Davey, T |
author_sort | McMillan, A |
collection | University of Exeter: Open Research Exeter (ORE) |
description | This is the author accepted manuscript. The floating platforms on which floating offshore wind tur bines 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 under stand 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 Ministry for Business, Innovation and Employment Endeavour Fund Royal Academy of Engineering (RAE) |
format | Conference Object |
genre | Arctic |
genre_facet | Arctic |
geographic | Endeavour |
geographic_facet | Endeavour |
id | ftunivexeter:oai:ore.exeter.ac.uk:10871/136400 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(162.000,162.000,-76.550,-76.550) |
op_collection_id | ftunivexeter |
op_relation | orcid:0000-0001-9678-2390 (Pillai, Ajit) ASME 43rd International Conference on Ocean, Offshore & Arctic Engineering (OMAE2024), 9 - 14 June 2024, Singapore. Awaiting full citation and DOI RF\202021\20\175 http://hdl.handle.net/10871/136400 |
op_rights | © ASME 2024. This version is made available under the CC-BY licence: https://creativecommons.org/by4.0 2999-01-01 Under temporary indefinite embargo pending publication by ASME. No embargo required on publication https://creativecommons.org/licenses/by/4.0/ |
publishDate | 2024 |
publisher | American Society of Mechanical Engineers (ASME) |
record_format | openpolar |
spelling | ftunivexeter:oai:ore.exeter.ac.uk:10871/136400 2025-01-16T19:53:10+00:00 Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing McMillan, A McDonald, A Pillai, AC Yuan, Z Davey, T 2024 http://hdl.handle.net/10871/136400 en eng American Society of Mechanical Engineers (ASME) orcid:0000-0001-9678-2390 (Pillai, Ajit) ASME 43rd International Conference on Ocean, Offshore & Arctic Engineering (OMAE2024), 9 - 14 June 2024, Singapore. Awaiting full citation and DOI RF\202021\20\175 http://hdl.handle.net/10871/136400 © ASME 2024. This version is made available under the CC-BY licence: https://creativecommons.org/by4.0 2999-01-01 Under temporary indefinite embargo pending publication by ASME. No embargo required on publication https://creativecommons.org/licenses/by/4.0/ floating wind turbines tank testing peaks-over-threshold generalised Pareto distribution extreme statistics extreme waves Conference paper 2024 ftunivexeter 2024-06-25T23:56:58Z This is the author accepted manuscript. The floating platforms on which floating offshore wind tur bines 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 under stand 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 Ministry for Business, Innovation and Employment Endeavour Fund Royal Academy of Engineering (RAE) Conference Object Arctic University of Exeter: Open Research Exeter (ORE) Endeavour ENVELOPE(162.000,162.000,-76.550,-76.550) |
spellingShingle | floating wind turbines tank testing peaks-over-threshold generalised Pareto distribution extreme statistics extreme waves McMillan, A McDonald, A Pillai, AC Yuan, Z Davey, T Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing |
title | Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing |
title_full | Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing |
title_fullStr | Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing |
title_full_unstemmed | Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing |
title_short | Estimating the Most Likely Extreme Nacelle Acceleration of a Floating Offshore Wind Turbine From Physical Model Tank Testing |
title_sort | estimating the most likely extreme nacelle acceleration of a floating offshore wind turbine from physical model tank testing |
topic | floating wind turbines tank testing peaks-over-threshold generalised Pareto distribution extreme statistics extreme waves |
topic_facet | floating wind turbines tank testing peaks-over-threshold generalised Pareto distribution extreme statistics extreme waves |
url | http://hdl.handle.net/10871/136400 |