Stochastic load effect characterization of floating wind turbine support structures

Salem Okpokparoro* (Corresponding Author), Srinivas Sriramula

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
8 Downloads (Pure)

Abstract

Achieving substantial reductions in Levelized Cost of Energy (LCOE) of floating wind turbines (FWTs) requires robust reliability assessment that accounts for inherent design uncertainties. A key aspect of such reliability assessment is the definition of limit states. In this regard, load effects need to be evaluated accurately. This paper presents a computational framework for evaluating load effects on FWT support structures. The computed load effect is subsequently characterized. A high fidelity finite element model of the National Renewable Energy Laboratory (NREL) 5MW reference turbine mounted on the OC3-Hywind spar buoy was developed and validated for this purpose. The loads from fully coupled time domain aero-hydro-servo-elastic simulations are transferred for detailed finite element (FE) load effect computation in Abaqus. Matlab® and Python are used as the computational tools for automating the whole analysis from start to finish. The initial part of this study addresses the amount of run-in-time to be excluded from response statistics. Based on convergence studies carried out, recommendations are made for run-in-time to be excluded from response statistics. The maximum von Mises stress in the tower as a measure of yielding is the load effect investigated in this study.
Original languageEnglish
Article number012013
JournalJournal of Physics: Conference Series
Volume1356
Issue number1
Early online date24 Oct 2019
DOIs
Publication statusPublished - 2019
Event16th Deep Sea Offshore Wind R&D conference - Radisson Blu Royal Garden Hotel, Trondheim, Norway
Duration: 16 Jan 201918 Jan 2019

Bibliographical note

The first author would like to thank the Petroleum Technology Development Fund (PTDF), Nigeria for their sponsorship.

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