Experimental Verification of the Hydro-elastic Model of A Scaled Floating Offshore Wind Turbine

Signe Møller Mortensen, Kasper Laugesen, Jesper Kirkegaard Jensen, Kasper Jessen, Mohsen N. Soltani

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)

Abstract

Modeling is essential for designing control and making prediction. For the case of floating offshore wind turbine, providing a model that is validated is a challenging task as testing prototypes in the field are expensive and difficult and it may cause loss of turbine. For this reason, wind turbines are scaled down to be tested at a wind and wave laboratory where deep sea environment is realized after scaling. In this paper, theoretical hydro-elastic model of a floating offshore wind turbine is presented. The hydro-elastic model that is simulated both by a Simulink model and by high fidelity wind turbine simulation tool, FAST, is then verified by laboratory experiments. A comparison is performed to show the model dynamics compared with the experimental results. Presented results show that the model of the laboratory-scale wind turbine correctly represents the main dynamic behavior of the theoretical model.
Original languageEnglish
Title of host publicationProceedings of the 2nd IEEE Conference on Control Technology and Applications : CCTA
Number of pages8
PublisherIEEE Press
Publication date26 Oct 2018
Pages1623-1630
Article number8511565
ISBN (Print)978-1-5386-7699-8
ISBN (Electronic)978-1-5386-7698-1
DOIs
Publication statusPublished - 26 Oct 2018
Event2018 IEEE Conference on Control Technology and Applications (CCTA) - The Scandic Hotel Copenhagen, Copenhagen, Denmark
Duration: 21 Aug 201824 Aug 2018

Conference

Conference2018 IEEE Conference on Control Technology and Applications (CCTA)
LocationThe Scandic Hotel Copenhagen
Country/TerritoryDenmark
CityCopenhagen
Period21/08/201824/08/2018

Keywords

  • Floating
  • Wind Turbine
  • Hydrodynamic
  • Scaled Wind Turbine
  • Experimental
  • Modeling

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