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    On the Sensitivity of Optimal Wave Energy Device Geometry to the Energy Maximizing Control System


    Garcia-Rosa, Paula B. and Ringwood, John (2016) On the Sensitivity of Optimal Wave Energy Device Geometry to the Energy Maximizing Control System. IEEE Transactions on Sustainable Energy, 7 (1). pp. 419-426.

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    Abstract

    Wave energy converters (WECs) are traditionally designed independently of control systems. This usually involves matching the device frequency response to the predominant sea spectrum of a specific site. Energy maximizing control systems are subsequently employed to improve the energy conversion of the device for sea states other than the design sea state. It is well known that some control techniques have the ability to change the characteristics of a wave energy device, allowing it to improve the power absorption for frequencies other than the device natural frequency. However, while the controllers do their best to broaden the device frequency response, they can be limited in their capability to produce an overall optimal system. A different approach is studied in this paper, where iteration is performed between geometry optimization and control design. The aim is to investigate the implications of geometry optimization in the absence of control and the ultimate effect of incorporating the control design at the geometry optimization stage. Unconstrained control strategies are considered, namely, latching, declutching, and a model predictive control-like algorithm. It is shown that different optimal WEC geometries can be obtained depending on whether the device is controlled or not and the type of controller employed. The differences in overall power absorption characteristics of the optimized geometries are presented.
    Item Type: Article
    Additional Information: This work was supported by the Science Foundation Ireland under Grant 12/RC/2302 for the Marine Renewable Energy Ireland (MaREI) Centre. Paper no. TSTE-00544-2014.
    Keywords: Control; optimal geometry; power optimization; wave energy;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 9391
    Identification Number: 10.1109/TSTE.2015.2423551
    Depositing User: Professor John Ringwood
    Date Deposited: 20 Apr 2018 13:25
    Journal or Publication Title: IEEE Transactions on Sustainable Energy
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/9391
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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