Floating Spar-Type Offshore Wind Turbine Hydrodynamic Response Characterisation: A Computational Cost Aware Approach

Andrea Coraddu, Luca Oneto, Miltos Kalikatzarakis, Davide Ilardi, Maurizio Collu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (SciVal)

Abstract

The hydromechanics analysis of floating offshore wind turbines is a fundamental and time consuming part of the design process, traditionally analysed with methods of computational fluid dynamics. In this work, an alternative computational framework is suggested, able to significantly accelerate the design process with minimal accuracy loss. Through the use of a state-of-the-art potential-flow code, a surrogate model is developed with the aim to approximate the Response Amplitude Operators of any arbitrary floating offshore wind turbine of the spar buoy type. The results, measured in terms of accuracy and computational effort, demonstrate that this approach is able to approximate the potential-flow solver with very high accuracy at a fraction of the computational cost.

Original languageEnglish
Title of host publication2020 Global Oceans 2020
Subtitle of host publicationSingapore - U.S. Gulf Coast
PublisherIEEE
ISBN (Electronic)9781728154466
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020 - Biloxi, United States
Duration: 5 Oct 202030 Oct 2020

Publication series

NameGLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST
ISSN (Print)0197-7385

Conference

Conference2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020
Country/TerritoryUnited States
CityBiloxi
Period5/10/2030/10/20

Keywords

  • Extreme Learning Machines
  • Floating Offshore Wind Turbine
  • Hydromechanics Analysis
  • Response Amplitude Operators
  • Surrogate models

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