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    Systematic complexity reduction of wave-to-wire models for wave energy system design


    Penalba, Markel and Ringwood, John (2020) Systematic complexity reduction of wave-to-wire models for wave energy system design. Ocean Engineering, 217. ISSN 0029-8018

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    Abstract

    Wave-to-wire models are valuable tools for a variety of applications in the development of successful wave energy converters. However, computational requirements of these wave-to-wire models are often prohibitive for certain applications that require fast mathematical models, such as power assessment or control design. The need for computationally fast models is traditionally achieved by assuming linear hydrodynamics and simplifying power take-off (PTO) dynamics with a linear damper in the mathematical model, though these assumptions can be relatively unjustified. However, these computationally appealing mathematical models can have a fidelity level which compromises their use in particular applications. Therefore, this paper suggests an application sensitive systematic complexity reduction approach that reduces computational requirements of a high-fidelity simulation platform (HiFiWEC), i.e. a CFD-based numerical wave tank coupled to a high-fidelity PTO model, while retaining a level of fidelity in a sense specific to particular applications. The illustrative case study analysed here includes a point absorber with a hydraulic PTO system. Results show that reduced wave-to-wire models designed via the systematic complexity reduction approach retain the application-relevant fidelity (up to 95% fidelity compared to the HiFiWEC) for similar computational requirements shown by the traditionally used linear mathematical models.

    Item Type: Article
    Keywords: Wave energy; Wave-structure hydrodynamic interactions; Hydraulic power take-off; Wave-to-wire modelling; HiFiWEC; Systematic complexity reduction;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 16313
    Identification Number: https://doi.org/10.1016/j.oceaneng.2020.107651
    Depositing User: Professor John Ringwood
    Date Deposited: 15 Jul 2022 07:56
    Journal or Publication Title: Ocean Engineering
    Publisher: Elsevier
    Refereed: Yes
    URI:

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