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Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters

Author

Listed:
  • Jonas Bjerg Thomsen

    (Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg ∅st , Denmark)

  • Francesco Ferri

    (Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg ∅st , Denmark)

  • Jens Peter Kofoed

    (Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg ∅st , Denmark)

  • Kevin Black

    (Tension Technology International Ltd., 69 Parkway, Eastbourne, East Sussex BN20 9DZ, UK)

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.

Suggested Citation

  • Jonas Bjerg Thomsen & Francesco Ferri & Jens Peter Kofoed & Kevin Black, 2018. "Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters," Energies, MDPI, vol. 11(1), pages 1-23, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:159-:d:126002
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    References listed on IDEAS

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    1. Luis Rios & Nikolaos Sahinidis, 2013. "Derivative-free optimization: a review of algorithms and comparison of software implementations," Journal of Global Optimization, Springer, vol. 56(3), pages 1247-1293, July.
    2. Jonas Bjerg Thomsen & Francesco Ferri & Jens Peter Kofoed, 2017. "Screening of Available Tools for Dynamic Mooring Analysis of Wave Energy Converters," Energies, MDPI, vol. 10(7), pages 1-18, June.
    3. Josh Davidson & John V. Ringwood, 2017. "Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review," Energies, MDPI, vol. 10(5), pages 1-46, May.
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    1. Gomes, Rui P.F. & Gato, Luís M.C. & Henriques, João C.C. & Portillo, Juan C.C. & Howey, Ben D. & Collins, Keri M. & Hann, Martyn R. & Greaves, Deborah M., 2020. "Compact floating wave energy converters arrays: Mooring loads and survivability through scale physical modelling," Applied Energy, Elsevier, vol. 280(C).
    2. Choupin, Ophelie & Henriksen, Michael & Tomlinson, Rodger, 2022. "Interrelationship between variables for wave direction-dependent WEC/site-configuration pairs using the CapEx method," Energy, Elsevier, vol. 248(C).
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    4. Garcia-Teruel, A. & Forehand, D.I.M., 2021. "A review of geometry optimisation of wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    5. Peña-Sanchez, Yerai & García-Violini, Demián & Penalba, Markel & Zarketa-Astigarraga, Ander & Ferri, Francesco & Nava, Vincenzo & Ringwood, John V., 2024. "Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate," Renewable Energy, Elsevier, vol. 227(C).
    6. Li, Demin & Sharma, Sanjay & Borthwick, Alistair G.L. & Huang, Heao & Dong, Xiaochen & Li, Yanni & Shi, Hongda, 2023. "Experimental study of a floating two-body wave energy converter," Renewable Energy, Elsevier, vol. 218(C).
    7. Ophelie Choupin & Michael Henriksen & Amir Etemad-Shahidi & Rodger Tomlinson, 2021. "Breaking-Down and Parameterising Wave Energy Converter Costs Using the CapEx and Similitude Methods," Energies, MDPI, vol. 14(4), pages 1-27, February.
    8. Housner, Stein & Hall, Matthew & Tran, Thanh Toan & de Miguel Para, Borja & Maeso, Aimar, 2024. "Shared mooring system designs and cost estimates for wave energy arrays," Renewable Energy, Elsevier, vol. 231(C).
    9. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    10. Xu, Sheng & Wang, Shan & Guedes Soares, C., 2019. "Review of mooring design for floating wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 595-621.
    11. Luca Martinelli & Barbara Zanuttigh, 2018. "Effects of Mooring Compliancy on the Mooring Forces, Power Production, and Dynamics of a Floating Wave Activated Body Energy Converter," Energies, MDPI, vol. 11(12), pages 1-24, December.
    12. Dongsheng Qiao & Rizwan Haider & Jun Yan & Dezhi Ning & Binbin Li, 2020. "Review of Wave Energy Converter and Design of Mooring System," Sustainability, MDPI, vol. 12(19), pages 1-31, October.

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