Cristin-resultat-ID: 2248235
Sist endret: 20. februar 2024, 18:48
NVI-rapporteringsår: 2023
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2023

A Numerical Assessment of Mooring System Modelling Uncertainties in Hydrodynamic Model Testing of Floating Wind Turbines

Bidragsytere:
  • Petter Andreas Berthelsen
  • Maxime X C C Thys og
  • Erin Elizabeth Bachynski-Polic

Bok

ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 8: Ocean Renewable Energy
ISBN:
  • 978-0-7918-8690-8

Utgiver

The American Society of Mechanical Engineers (ASME)
NVI-nivå 1

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2023
Antall sider: 11
ISBN:
  • 978-0-7918-8690-8

Klassifisering

Fagfelt (NPI)

Fagfelt: Tverrfaglig teknologi
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

A Numerical Assessment of Mooring System Modelling Uncertainties in Hydrodynamic Model Testing of Floating Wind Turbines

Sammendrag

This paper presents a general uncertainty assessment in hydrodynamic testing of a floating wind turbine. A general uncertainty analysis is often carried out when the goal is to assess the sensitivity of the results to uncertainties in the input variables, regardless of whether the uncertainty is of systematic or random nature. The analyses are based on the 12MW INO WINDMOOR semisubmersible floating wind turbine. The assessment is carried out as a numerical study of the WINDMOOR hydrodynamic experiment [1]. A global simulation model of the experimental setup is established in the simulation framework SIMA. The propagation of uncertainty is assessed using two different approaches: The classical Taylor Series Method (TSM) and the Monte Carlo Method (MCM). Specifically, the uncertainties in the mooring system and their effects on the mooring line tension and platform responses are investigated. The assessment is performed for a range of standard uncertainties in the input variables, and the results from the two methods of assessing the uncertainty are compared.

Bidragsytere

Petter Andreas Berthelsen

  • Tilknyttet:
    Forfatter
    ved Energi og transport ved SINTEF Ocean

Maxime X C C Thys

  • Tilknyttet:
    Forfatter
    ved Skip og havkonstruksjoner ved SINTEF Ocean

Erin Elizabeth Bachynski-Polic

  • Tilknyttet:
    Forfatter
    ved Institutt for marin teknikk ved Norges teknisk-naturvitenskapelige universitet
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Resultatet er en del av Resultatet er en del av

ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 8: Ocean Renewable Energy.

ASME, .. 2023, The American Society of Mechanical Engineers (ASME). Vitenskapelig antologi/Konferanseserie
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