Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions
The paper presents empirical quadratic transfer functions (QTFs) of the horizontal wave drift loads on a turret moored floating wind turbine in operational and in severe sea states. Comparison between the empirical results and potential flow predictions of mean wave drift coefficients provide an ass...
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ftsintef:oai:sintef.brage.unit.no:11250/3073503 2023-07-16T03:55:11+02:00 Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions Fonseca, Nuno Nybø, Synne Hoggen Rodrigues, José Miguel Gallego, Aitor Garrido, Carlos 2022 application/pdf https://hdl.handle.net/11250/3073503 eng eng ASME ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering Volume 8: Ocean Renewable Energy urn:isbn:978-0-7918-8593-2 urn:issn:1523-651X https://hdl.handle.net/11250/3073503 cristin:2131850 Copyright © 2022 by ASME International Conference on Offshore Mechanics and Arctic Engineering (OMAE) [proceedings] Floating wind turbines Wave drift forces Wave drift Chapter Peer reviewed 2022 ftsintef 2023-06-28T22:47:04Z The paper presents empirical quadratic transfer functions (QTFs) of the horizontal wave drift loads on a turret moored floating wind turbine in operational and in severe sea states. Comparison between the empirical results and potential flow predictions of mean wave drift coefficients provide an assessment of the limitations of state of the art numerical tools. The floating substructure has a catamaran configuration with heave plates to minimize the vertical motions. The empirical QTFs are determined from cross bi-spectral analysis of model test data obtained in an ocean basin. Validation of the identified QTFs is provided by comparing low frequency motions reconstructed from the empirical QTF with measurements. The comparisons are performed in terms of low frequency spectra and motion time histories. The numerical mean wave drift coefficients are calculated by a panel code that solves the wave-structure linear potential flow problem. Systematic comparisons between numerical predictions and empirical QTFs allows identification of tendencies of the empirical QTFs and limitations of the potential flow predictions, namely with respect to the sea state severity and with respect to wave-current interaction effects. The results indicate a decrease of the wave drift coefficients with increasing sea state severity. Furthermore, wave-current effects for collinear conditions increase the empirical wave drift coefficients. acceptedVersion Article in Journal/Newspaper Arctic SINTEF Open (Brage) Turret ENVELOPE(-57.951,-57.951,-62.088,-62.088) |
institution |
Open Polar |
collection |
SINTEF Open (Brage) |
op_collection_id |
ftsintef |
language |
English |
topic |
Floating wind turbines Wave drift forces Wave drift |
spellingShingle |
Floating wind turbines Wave drift forces Wave drift Fonseca, Nuno Nybø, Synne Hoggen Rodrigues, José Miguel Gallego, Aitor Garrido, Carlos Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions |
topic_facet |
Floating wind turbines Wave drift forces Wave drift |
description |
The paper presents empirical quadratic transfer functions (QTFs) of the horizontal wave drift loads on a turret moored floating wind turbine in operational and in severe sea states. Comparison between the empirical results and potential flow predictions of mean wave drift coefficients provide an assessment of the limitations of state of the art numerical tools. The floating substructure has a catamaran configuration with heave plates to minimize the vertical motions. The empirical QTFs are determined from cross bi-spectral analysis of model test data obtained in an ocean basin. Validation of the identified QTFs is provided by comparing low frequency motions reconstructed from the empirical QTF with measurements. The comparisons are performed in terms of low frequency spectra and motion time histories. The numerical mean wave drift coefficients are calculated by a panel code that solves the wave-structure linear potential flow problem. Systematic comparisons between numerical predictions and empirical QTFs allows identification of tendencies of the empirical QTFs and limitations of the potential flow predictions, namely with respect to the sea state severity and with respect to wave-current interaction effects. The results indicate a decrease of the wave drift coefficients with increasing sea state severity. Furthermore, wave-current effects for collinear conditions increase the empirical wave drift coefficients. acceptedVersion |
format |
Article in Journal/Newspaper |
author |
Fonseca, Nuno Nybø, Synne Hoggen Rodrigues, José Miguel Gallego, Aitor Garrido, Carlos |
author_facet |
Fonseca, Nuno Nybø, Synne Hoggen Rodrigues, José Miguel Gallego, Aitor Garrido, Carlos |
author_sort |
Fonseca, Nuno |
title |
Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions |
title_short |
Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions |
title_full |
Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions |
title_fullStr |
Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions |
title_full_unstemmed |
Identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions |
title_sort |
identification of wave drift forces on a floating wind turbine sub-structure with heave plates and comparison with predictions |
publisher |
ASME |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/3073503 |
long_lat |
ENVELOPE(-57.951,-57.951,-62.088,-62.088) |
geographic |
Turret |
geographic_facet |
Turret |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
International Conference on Offshore Mechanics and Arctic Engineering (OMAE) [proceedings] |
op_relation |
ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering Volume 8: Ocean Renewable Energy urn:isbn:978-0-7918-8593-2 urn:issn:1523-651X https://hdl.handle.net/11250/3073503 cristin:2131850 |
op_rights |
Copyright © 2022 by ASME |
_version_ |
1771541606620463104 |