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Article

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

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. https://doi.org/10.3390/en11010159

AMA Style

Thomsen JB, Ferri F, Kofoed JP, Black K. Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters. Energies. 2018; 11(1):159. https://doi.org/10.3390/en11010159

Chicago/Turabian Style

Thomsen, Jonas B., Francesco Ferri, Jens P. Kofoed, and Kevin Black. 2018. "Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters" Energies 11, no. 1: 159. https://doi.org/10.3390/en11010159

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