An efficient frequency-domain model for quick load analysis of floating offshore wind turbines

Pegalajar-Jurado, Antonio; Borg, Michael; Bredmose, Henrik

doi:https://doi.org/10.5194/wes-3-693-2018

Articles | Volume 3, issue 2

https://doi.org/10.5194/wes-3-693-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-3-693-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 2

Research article

|

16 Oct 2018

Research article |

| 16 Oct 2018

An efficient frequency-domain model for quick load analysis of floating offshore wind turbines

Antonio Pegalajar-Jurado, Michael Borg, and Henrik Bredmose

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Final revised paper (published on 16 Oct 2018)
Preprint (discussion started on 09 Apr 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of: An efficient frequency-domain model for quick load analysis of floating offshore wind turbines', Anonymous Referee #1, 04 May 2018
- AC1: 'AC1 in response to RC1', Antonio Pegalajar-Jurado, 18 Jul 2018
RC2: 'attached files', Tor Anders Nygaard, 23 Jun 2018
- AC2: 'AC2 in response to RC2', Antonio Pegalajar-Jurado, 18 Jul 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Antonio Pegalajar-Jurado on behalf of the Authors (15 Aug 2018) Author's response Manuscript

ED: Publish as is (02 Sep 2018) by Joachim Peinke

ED: Publish as is (02 Sep 2018) by Joachim Peinke (Chief editor)

AR by Antonio Pegalajar-Jurado on behalf of the Authors (12 Sep 2018)

Short summary

This paper presents a simplified numerical model to quickly predict motion and loads of floating offshore wind turbines. Hydrodynamic, aerodynamic and mooring loads are extracted from higher-fidelity numerical tools. Without calibration, the model can predict with good accuracy the motions of the system in real wind and wave conditions. Loads at the tower base are estimated with errors between 0.2 % and 11.3 %. The model can simulate between 1300 and 2700 times faster than real time.