On the influence of rotor nacelle assembly modelling on the computed eigenfrequencies of offshore wind turbines

Research output: Contribution to journalConference paper

Abstract

Motivated by the mismatch of measured and computed eigenfrequencies for the second tower mode of offshore wind turbines as well as previous studies
examining the influence of including flexible blades in structural models, the need to extend the current integrated model to include flexible blades became apparent. A basic modelling approach which takes the blades as beam elements was implemented in an in-house finite element model of offshore wind turbines and benchmarked for the NREL 5 MW reference turbine with OpenFast. Moreover, the modelling approach was benchmarked with measurements that were obtained during the installation of a Belgian offshore wind turbine. The inclusion of flexible blades is shown to have a significant influence on the second tower mode and is able to reduce the mismatch between measurements and computations. Furthermore, the capability of the inclusion of flexible blades to model the effects of additional parameters is presented. Overall, the need to extend the rotor nacelle modelling in structural models of offshore wind turbines beyond a lumped mass approach is demonstrated.
Original languageEnglish
Article number052034
Number of pages10
JournalJournal of Physics: Conference Series
Volume2767
Issue number5
DOIs
Publication statusPublished - 2024
EventTORQUE 2024 - Florence, Italy
Duration: 29 May 202431 May 2024
https://www.torque2024.eu/

Bibliographical note

Funding Information:
The authors would like to acknowledge the support of the Belgian Ministry of Economic Affairs through the ETF project WINDSOIL. The support of VLAIO through the De Blauwe Cluster SBO SOILTWIN project is also acknowledged. Furthermore, the authors gratefully acknowledge Parkwind NV for their permission to use the monitoring data.

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

Keywords

  • structural modelling
  • digital twin
  • rna modelling
  • offshore wind turbines

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