Multi-fidelity Modeling and Simulation of Dual-flap Oscillating Surge Wave Energy Converter

Alaa Ahmed, Jia Mi, Jianuo Haung, Muhammad R. Hajj, Raju Datla, Lei Zuo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Modeling and simulation of wave energy converters based on linear wave theory limits the analysis to small wave amplitudes. In high sea-state conditions, large wave amplitudes lead to large motions, which is desired for wave energy generation. While computational fluid dynamics tools are more appropriate to predict the hydrodynamic response under large motion conditions, high-fidelity simulations can be computationally expensive, especially in the early stages of the converter design or in assessing the converter's performance capabilities. As such, there is a need for reduced-order models with different fidelity levels that balance the accuracy of the predicted hydrodynamic responses with the computational time and resources. In this effort, we assess the performance of multi-fidelity numerical simulations of the hydrodynamic response of a dual-flap oscillating surge wave energy converter. All simulations are validated against data from tests performed in the wave tank of Davidson Laboratory at Stevens Institute of Technology.

Original languageEnglish
Title of host publicationOCEANS 2023 - MTS/IEEE U.S. Gulf Coast
ISBN (Electronic)9798218142186
DOIs
StatePublished - 2023
Event2023 MTS/IEEE U.S. Gulf Coast, OCEANS 2023 - Biloxi, United States
Duration: 25 Sep 202328 Sep 2023

Publication series

NameOceans Conference Record (IEEE)
ISSN (Print)0197-7385

Conference

Conference2023 MTS/IEEE U.S. Gulf Coast, OCEANS 2023
Country/TerritoryUnited States
CityBiloxi
Period25/09/2328/09/23

Keywords

  • CFD
  • Multi-fidelity Simulations
  • OSWEC
  • Tank Test
  • Wave Energy

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