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    Mathematical Modelling of Mooring Systems for Wave Energy Converters — A Review


    Davidson, Josh and Ringwood, John (2017) Mathematical Modelling of Mooring Systems for Wave Energy Converters — A Review. Energies, 10 (5). pp. 666-732. ISSN 1996-1073

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    Abstract

    Mathematical analysis is an essential tool for the successful development and operation of wave energy converters (WECs). Mathematical models of moorings systems are therefore a requisite in the overall techno-economic design and operation of floating WECs. Mooring models (MMs) can be applied to a range of areas, such as WEC simulation, performance evaluation and optimisation, control design and implementation, extreme load calculation, mooring line fatigue life evaluation, mooring design, and array layout optimisation. The mathematical modelling of mooring systems is a venture from physics to numerics, and as such, there are a broad range of details to consider when applying MMs to WEC analysis. A large body of work exists on MMs, developed within other related ocean engineering fields, due to the common requirement of mooring floating bodies, such as vessels and offshore oil and gas platforms. This paper reviews the mathematical modelling of the mooring systems for WECs, detailing the relevant material developed in other offshore industries and presenting the published usage of MMs for WEC analysis.

    Item Type: Article
    Additional Information: c 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Acknowledgments: This paper is based upon work supported by Science Foundation Ireland under Grant No. 13/IA/1886.
    Keywords: wave energy; mooring; mathematical modelling;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 9429
    Identification Number: https://doi.org/10.3390/en10050666
    Depositing User: Professor John Ringwood
    Date Deposited: 30 Apr 2018 14:03
    Journal or Publication Title: Energies
    Publisher: MDPI AG
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

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