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Control-informed ballast and geometric optimisation of a three-body hinge-barge wave energy converter using two-layer optimisation

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  • Wang, LiGuo
  • Ringwood, John V.

Abstract

This paper presents a systematic methodology to optimise the geometry of a three-body hinge-barge wave energy converter, to maximise the energy extraction of the device in given sea states and in site-specific wave climates. To that end, a 5-degree-of-freedom mathematical model is proposed to describe the system dynamics in two-dimensional space and a two-layer optimisation is designed to find the optimal design and control variables. The inner-layer optimisation is used to find the optimal control parameters of the power take-off system and the outer-layer optimisation, which uses a genetic algorithm, is employed to find the optimal design parameters of barge lengths and of optimal ballast positioning. In the case study, this methodology is applied to a 1:20 scale prototype of the McCabe Wave Pump device. Numerical results indicate that the optimal dimensions of the device, under given sea states, can be found efficiently and accurately, and that there appears to be no obvious benefit in the use of three barges, over a two-barge system.

Suggested Citation

  • Wang, LiGuo & Ringwood, John V., 2021. "Control-informed ballast and geometric optimisation of a three-body hinge-barge wave energy converter using two-layer optimisation," Renewable Energy, Elsevier, vol. 171(C), pages 1159-1170.
    • Handle: RePEc:eee:renene:v:171:y:2021:i:c:p:1159-1170
    DOI: 10.1016/j.renene.2021.02.125
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    References listed on IDEAS

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    1. Carpintero Moreno, Efrain & Stansby, Peter, 2019. "The 6-float wave energy converter M4: Ocean basin tests giving capture width, response and energy yield for several sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 307-318.
    2. McCabe, A.P., 2013. "Constrained optimization of the shape of a wave energy collector by genetic algorithm," Renewable Energy, Elsevier, vol. 51(C), pages 274-284.
    3. Lander Victor & Peter Troch & Jens Peter Kofoed, 2011. "On the Effects of Geometry Control on the Performance of Overtopping Wave Energy Converters," Energies, MDPI, vol. 4(10), pages 1-27, October.
    4. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.
    5. Jalón, María L. & Baquerizo, Asunción & Losada, Miguel A., 2016. "Optimization at different time scales for the design and management of an oscillating water column system," Energy, Elsevier, vol. 95(C), pages 110-123.
    6. Shadman, Milad & Estefen, Segen F. & Rodriguez, Claudio A. & Nogueira, Izabel C.M., 2018. "A geometrical optimization method applied to a heaving point absorber wave energy converter," Renewable Energy, Elsevier, vol. 115(C), pages 533-546.
    7. Meng, Fantai & Cazzolato, Benjamin & Li, Ye & Ding, Boyin & Sergiienko, Natalia & Arjomandi, Maziar, 2019. "A sensitivity study on the effect of mass distribution of a single-tether spherical point absorber," Renewable Energy, Elsevier, vol. 141(C), pages 583-595.
    8. Paula B. Garcia-Rosa & Giorgio Bacelli & John V. Ringwood, 2015. "Control-Informed Geometric Optimization of Wave Energy Converters: The Impact of Device Motion and Force Constraints," Energies, MDPI, vol. 8(12), pages 1-16, December.
    9. Goggins, Jamie & Finnegan, William, 2014. "Shape optimisation of floating wave energy converters for a specified wave energy spectrum," Renewable Energy, Elsevier, vol. 71(C), pages 208-220.
    10. Simonetti, I. & Cappietti, L. & Elsafti, H. & Oumeraci, H., 2017. "Optimization of the geometry and the turbine induced damping for fixed detached and asymmetric OWC devices: A numerical study," Energy, Elsevier, vol. 139(C), pages 1197-1209.
    11. Falcão, António F.O. & Henriques, João C.C. & Cândido, José J., 2012. "Dynamics and optimization of the OWC spar buoy wave energy converter," Renewable Energy, Elsevier, vol. 48(C), pages 369-381.
    12. Fernando Jaramillo-Lopez & Brian Flannery & Jimmy Murphy & John V. Ringwood, 2020. "Modelling of a Three-Body Hinge-Barge Wave Energy Device Using System Identification Techniques," Energies, MDPI, vol. 13(19), pages 1-16, October.
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    Cited by:

    1. Domenico Curto & Vincenzo Franzitta & Andrea Guercio, 2021. "Sea Wave Energy. A Review of the Current Technologies and Perspectives," Energies, MDPI, vol. 14(20), pages 1-31, October.
    2. Martić, Ivana & Degiuli, Nastia & Grlj, Carlo Giorgio, 2024. "Scaling of wave energy converters for optimum performance in the Adriatic Sea," Energy, Elsevier, vol. 294(C).

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