A Multi-Fidelity Model for Wave Energy Converters

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Beatrice Battisti, Giovanni Bracco, Michel Bergmann
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引用次数: 0

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.

Abstract Image

波浪能转换器的多保真度模型
本研究的目的是建立一个浮点吸收波能转换器在海浪存在下的三维数值模型,考虑其与双流体流动(包括空气和水)的相互作用。主要目的是创建一种高效的计算工具,以实现两个关键目标:首先,减少与高保真计算流体动力学(CFD)模型相关的计算时间,其次,在受粘性和高度非线性影响的区域中,解决低保真渐近或基于投影的降阶模型缺乏准确性的问题。为了解决这些问题,我们提出了一种基于域分解的多保真度模型。该方法结合了高保真CFD求解器和基于适当正交分解(POD)的降阶模型(ROM),前者可以准确捕获粘性和非线性区域的行为,后者专为弱非线性区域量身定制。通过在空间上整合这些组件,我们在一个统一的框架内模拟浮体的动态。这种方法确保了样本内(复制)和样本外(预测)配置的身体运动的精确预测。
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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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