A Multi‐Fidelity Model for Wave Energy Converters

ABSTRACT The objective of this study is to develop a three‐dimensional numerical model for a floating point absorber wave energy converter in the presence of sea waves, considering its interaction with a bi‐fluid flow (comprising air and water). The primary aim is to create an efficient computational tool that achieves two key objectives: firstly, reducing the computational time typically associated with high‐fidelity Computational Fluid Dynamics (CFD) models, and secondly, curing the lack of accuracy of low‐fidelity asymptotic or projection‐based reduced‐order models in regions subjected to viscous and highly nonlinear effects. To address these objectives, we propose a multi‐fidelity model based on domain decomposition. This approach combines a high‐fidelity CFD solver, which accurately captures the behavior in viscous and nonlinear regions, with a Reduced Order Model (ROM) based on Proper Orthogonal Decomposition (POD), tailored for weakly nonlinear regions. By integrating these components spatially, we simulate the dynamics of the floating body within a unified framework. This methodology ensures precise predictions of the body's motion for both in‐sample (reproduction) and out‐of‐sample (prediction) configurations.

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Publication Details

Journal
International Journal for Numerical Methods in Fluids
Published
2024-11-21
DOI
https://doi.org/10.1002/fld.5354
Citations
1
Primary Topic
Fluid Dynamics and Vibration Analysis
Type
article
Field-Weighted Citation Impact
0.37

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article

A Multi‐Fidelity Model for Wave Energy Converters

Beatrice Battisti, Michel Bergmann, Giovanni Bracco
1 citations
International Journal for Numerical Methods in Fluids
Fluid Dynamics and Vibration Analysis
0.37
article

A Multi‐Fidelity Model for Wave Energy Converters

Beatrice Battisti, Michel Bergmann, Giovanni Bracco
article en
1 citations

Abstract

ABSTRACT The objective of this study is to develop a three‐dimensional numerical model for a floating point absorber wave energy converter in the presence of sea waves, considering its interaction with a bi‐fluid flow (comprising air and water). The primary aim is to create an efficient computational tool that achieves two key objectives: firstly, reducing the computational time typically associated with high‐fidelity Computational Fluid Dynamics (CFD) models, and secondly, curing the lack of accuracy of low‐fidelity asymptotic or projection‐based reduced‐order models in regions subjected to viscous and highly nonlinear effects. To address these objectives, we propose a multi‐fidelity model based on domain decomposition. This approach combines a high‐fidelity CFD solver, which accurately captures the behavior in viscous and nonlinear regions, with a Reduced Order Model (ROM) based on Proper Orthogonal Decomposition (POD), tailored for weakly nonlinear regions. By integrating these components spatially, we simulate the dynamics of the floating body within a unified framework. This methodology ensures precise predictions of the body's motion for both in‐sample (reproduction) and out‐of‐sample (prediction) configurations.

International Journal for Numerical Methods in FluidsVol. 97(4)
Université de Bordeaux (FR), Politecnico di Torino (IT), Centre Inria de l'université de Bordeaux (FR), Institut de Mathématiques de Bordeaux (FR)
European Commission, H2020 Marie Skłodowska-Curie Actions
Affordable and clean energy
Openalex Percentile: Top 49%
Fluid Dynamics and Vibration Analysis
0.37
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A Multi‐Fidelity Model for Wave Energy Converters — Beatrice Battisti, Michel Bergmann, et al. · International Journal for Numerical Methods in Fluids (2024) | TGRS Research Map | TGRS