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A Detailed Assessment of the Wave Energy Resource at the Atlantic Marine Energy Test Site

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  • Reduan Atan

    (College of Engineering and Informatics, National University of Ireland, Galway, Ireland
    Centre for Marine and Renewable Energy Ireland (MaREI), Galway, Ireland
    Ryan Institute for Environmental, Marine and Energy Research, Galway, Ireland)

  • Jamie Goggins

    (College of Engineering and Informatics, National University of Ireland, Galway, Ireland
    Centre for Marine and Renewable Energy Ireland (MaREI), Galway, Ireland
    Ryan Institute for Environmental, Marine and Energy Research, Galway, Ireland)

  • Stephen Nash

    (College of Engineering and Informatics, National University of Ireland, Galway, Ireland
    Centre for Marine and Renewable Energy Ireland (MaREI), Galway, Ireland
    Ryan Institute for Environmental, Marine and Energy Research, Galway, Ireland)

Abstract

Wave characteristic assessments of wave energy test sites provide a greater understanding of prevailing wave conditions and are therefore extremely important to both wave energy test site operators and clients as they can inform wave energy converter design, optimisation, deployment, operation and maintenance. This research presents an assessment of the wave resource at the Atlantic Marine Energy Test Site (AMETS) on the west coast of Ireland based on 12-years of modelled data from January 2004 to December 2015. The primary aim is to provide an assessment of annual and seasonal wave characteristics and resource variability at the two deployment berths which comprise the site. A nested model has been developed using Simulating WAves Nearshore (SWAN) to replicate wave propagations from regional to local scale with a 0.05° resolution model covering the northeast Atlantic and a 0.0027° resolution model covering AMETS. The coarse and fine models have been extensively validated against available measured data within Irish waters. 12-year model outputs from the high resolution model were analysed to determine mean and maximum conditions and operational, high and extreme event conditions for significant wave height, energy period and power. Annual and seasonal analyses are presented. The 12-year annual mean P were 68 kW/m at Berth A (BA) and 57 kW/m at Berth B (BB). The resource shows strong seasonal and annual variations and the winter mean power levels were found to be strongly correlated with the North Atlantic Oscillation (NAO).

Suggested Citation

  • Reduan Atan & Jamie Goggins & Stephen Nash, 2016. "A Detailed Assessment of the Wave Energy Resource at the Atlantic Marine Energy Test Site," Energies, MDPI, vol. 9(11), pages 1-29, November.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:967-:d:83234
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    References listed on IDEAS

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    Cited by:

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    3. Shih-Chun Hsiao & Chao-Tzuen Cheng & Tzu-Yin Chang & Wei-Bo Chen & Han-Lun Wu & Jiun-Huei Jang & Lee-Yaw Lin, 2021. "Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product," Energies, MDPI, vol. 14(3), pages 1-25, January.
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    9. Ermando Petracca & Emilio Faraggiana & Alberto Ghigo & Massimo Sirigu & Giovanni Bracco & Giuliana Mattiazzo, 2022. "Design and Techno-Economic Analysis of a Novel Hybrid Offshore Wind and Wave Energy System," Energies, MDPI, vol. 15(8), pages 1-28, April.
    10. Kirinus, Eduardo de Paula & Oleinik, Phelype Haron & Costi, Juliana & Marques, Wiliam Correa, 2018. "Long-term simulations for ocean energy off the Brazilian coast," Energy, Elsevier, vol. 163(C), pages 364-382.
    11. Atan, Reduan & Goggins, Jamie & Nash, Stephen, 2018. "Galway Bay – The 1/4 scale wave energy test site? A detailed wave energy resource assessment and investigation of scaling factors," Renewable Energy, Elsevier, vol. 119(C), pages 217-234.
    12. Hugo Mendonça & Rosa M. De Castro & Sergio Martínez & David Montalbán, 2017. "Voltage Impact of a Wave Energy Converter on an Unbalanced Distribution Grid and Corrective Actions," Sustainability, MDPI, vol. 9(10), pages 1-16, October.
    13. Hung-Ju Shih & Chih-Hsin Chang & Wei-Bo Chen & Lee-Yaw Lin, 2018. "Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts," Energies, MDPI, vol. 11(3), pages 1-21, February.
    14. Gaughan, Eilis & Fitzgerald, Breiffni, 2020. "An assessment of the potential for Co-located offshore wind and wave farms in Ireland," Energy, Elsevier, vol. 200(C).

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