MURAL - Maynooth University Research Archive Library



    Control, forecasting and optimisation for wave energy conversion


    Ringwood, John, Bacelli, Giorgio and Fusco, Francesco (2014) Control, forecasting and optimisation for wave energy conversion. Proceedings of the 19th IFAC World Congress. pp. 7678-7689.

    [thumbnail of JR_Control, forecasting.pdf]
    Preview
    Text
    JR_Control, forecasting.pdf

    Download (957kB) | Preview

    Abstract

    This paper presents an overview of the motivation, background to and state-of- the-art in energy maximising control of wave energy devices. The underpinning mathematical modelling is described and the control fundamentals established. Two example control schemes are presented, along with some algorithms for wave forecasting, which can be a necessary requirement, due to the non-causal nature of some optimal control strategies. One of the control schemes is extended to show how cooperative control of devices in a wave farm can be beneficial. The paper also includes perspectives on the interaction between control and the broader objectives of optimal wave energy device geometry and full techno-economic optimisation of wave energy converters.
    Item Type: Article
    Keywords: Wave energy; control; optimisation; power maximisation; wave forecasting;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 6780
    Depositing User: Professor John Ringwood
    Date Deposited: 13 Jan 2016 15:40
    Journal or Publication Title: Proceedings of the 19th IFAC World Congress
    Publisher: IFAC
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/6780
    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

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads