Published October 1, 2019 | Version v1
Journal article

Stochastic load effect characterization of floating wind turbine support structures

  • 1. Lloyd's Register Foundation (LRF) Centre for Safety and Reliability Engineering, School of Engineering, University of Aberdeen, Aberdeen, AB24 3UE (United Kingdom)

Description

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. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1356/1/012013

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1356
Journal Issue
1
Journal Page Range
[8 p.]
ISSN
1742-6596

Conference

Title
16. Deep Sea Offshore Wind R and D conference
Dates
16-18 Jan 2019
Place
Trondheim (Norway)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53072580
Subject category
S17: WIND ENERGY; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
BUOYS; COMPUTERIZED SIMULATION; FINITE ELEMENT METHOD; NATIONAL RENEWABLE ENERGY LABORATORY; PYTHON; RECOMMENDATIONS; STOCHASTIC PROCESSES; WIND TURBINES
Descriptors DEC
CALCULATION METHODS; EQUIPMENT; MACHINERY; MATHEMATICAL SOLUTIONS; NATIONAL ORGANIZATIONS; NUMERICAL SOLUTION; PROGRAMMING LANGUAGES; SIMULATION; TURBINES; TURBOMACHINERY; US DOE; US ORGANIZATIONS