Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review
Centre for Ocean Energy Research, Maynooth University, Maynooth, Co. Kildare, Ireland
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Academic Editor: Jens Peter Kofoed
Energies 2017, 10(5), 666; https://doi.org/10.3390/en10050666
Received: 1 February 2017 / Revised: 16 March 2017 / Accepted: 3 May 2017 / Published: 11 May 2017
(This article belongs to the Special Issue Marine Energy)
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.
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Keywords:
wave energy; mooring; mathematical modelling
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MDPI and ACS Style
Davidson, J.; Ringwood, J.V. Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review. Energies 2017, 10, 666.
AMA Style
Davidson J, Ringwood JV. Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review. Energies. 2017; 10(5):666.
Chicago/Turabian StyleDavidson, Josh; Ringwood, John V. 2017. "Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review" Energies 10, no. 5: 666.
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