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    Variability reduction through optimal combination of wind/wave resources – An Irish case study

    Fusco, Francesco and Nolan, Gary and Ringwood, John (2010) Variability reduction through optimal combination of wind/wave resources – An Irish case study. Energy, 35 (1). pp. 314-325. ISSN 0360-5442

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    This study presents a methodology to assess the possible benefits of the combination of wind energy with the still unexploited, but quite significant in Ireland, wave energy. An analysis of the raw wind and wave resource at certain locations around the coasts of Ireland shows how they are very low correlated on the South and West Coast, where the waves are dominated by the presence of high energy swells generated by remote westerly wind systems. As a consequence, the integration of wind and waves in combined farms, at these locations, allows the achievement of a more reliable, less variable and more predictable electrical power production. The resulting benefits are particularly clear in the case of a relatively small and quite isolated electrical system such as the Irish one. Here, in fact, high levels of wind penetration strongly increase the requirement of surplus capacity and cause a much lower efficiency for conventional thermal plants.

    Item Type: Article
    Additional Information: The authors are grateful to the Irish Marine Institute for providing real sea observations. In addition, the funding provided under the IRCSET scheme is acknowledged.
    Keywords: Wave energy; Wind energy; Combination of renewable energies; Power output variability; Ireland;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 9484
    Identification Number:
    Depositing User: Professor John Ringwood
    Date Deposited: 15 May 2018 14:05
    Journal or Publication Title: Energy
    Publisher: Elsevier
    Refereed: Yes
    Funders: Irish Research Council for Science Engineering and Technology (IRCSET)
    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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