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Energies 2018, 11(1), 159; https://doi.org/10.3390/en11010159

Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters

1
Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg ∅st , Denmark
2
Tension Technology International Ltd., 69 Parkway, Eastbourne, East Sussex BN20 9DZ, UK
*
Author to whom correspondence should be addressed.
Received: 11 November 2017 / Revised: 8 December 2017 / Accepted: 3 January 2018 / Published: 9 January 2018
(This article belongs to the Special Issue Wave Energy Potential, Behavior and Extraction)
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Abstract

The increasing desire for using renewable energy sources throughout the world has resulted in a considerable amount of research into and development of concepts for wave energy converters. By now, many different concepts exist, but still, the wave energy sector is not at a stage that is considered commercial yet, primarily due to the relatively high cost of energy. A considerable amount of the wave energy converters are floating structures, which consequently need mooring systems in order to ensure station keeping. Despite being a well-known concept, mooring in wave energy application has proven to be expensive and has a high rate of failure. Therefore, there is a need for further improvement, investigation into new concepts and sophistication of design procedures. This study uses four Danish wave energy converters, all considered as large floating structures, to investigate a methodology in order to find an inexpensive and reliable mooring solution for each device. The study uses a surrogate-based optimization routine in order to find a feasible solution in only a limited number of evaluations and a constructed cost database for determination of the mooring cost. Based on the outcome, the mooring parameters influencing the cost are identified and the optimum solution determined. View Full-Text
Keywords: mooring; station keeping; wave energy; optimization; meta-model; surrogate model; cost; wave energy converters (WEC) mooring; station keeping; wave energy; optimization; meta-model; surrogate model; cost; wave energy converters (WEC)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Thomsen, J.B.; Ferri, F.; Kofoed, J.P.; Black, K. Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters. Energies 2018, 11, 159.

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