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Wave Energy Resources Along the European Atlantic Coast

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Marine Renewable Energy

Abstract

Ocean wave energy has become the focus of governments and energy companies over the past decade. In spite of its unpredictability, this untapped source of energy appears to be a sustainable alternative to traditional sources of energy such as thermic and nuclear energies, or hydropower, all of which pose significant environmental and geopolitical problems. Open to the Atlantic Ocean at latitudes between 35°N and 65°N, the Atlantic Coast of Europe is blessed with one of the highest wave powers in the world—estimated to be between 33 and 76 kW/m wave crest. The European Commission has taken a proactive attitude towards encouraging and promoting the development of marine renewable energy during the near future. In this context, the European transnational project EnergyMare was commissioned to investigate the potential of marine renewable energy resources on the European Atlantic Coast as well as test innovative measurement techniques and promote the development of test sites. The targeted wave energy resources were assessed via a 10-year hindcast, using state-of-the-art spectral wave models WaveWatch III and SWAN set up on unstructured meshes or fine-resolution regular grids. The hindcasts were combined to simultaneously provide a holistic view of the wave energy distribution across the European continental shelf and fine-resolution maps of specific areas, in particular around archipelagos and complex coastlines, where wave characteristics can be affected by the presence of small islands, headlands, or irregular bathymetry, and at wave energy test sites. The domain size and timescale of the hindcasts enable a comprehensive description of the wave climate along the European Atlantic Coast , both in terms of its distribution and its seasonal and interannual variations. In particular, a comparison of wave activity at various coastal locations shows its dependence on latitude and arguably its more significant dependence on exposure to open Atlantic waters. Wave activity during the winter months is clearly predominant, but dominant peak activity was also occasionally observed during spring and autumn. In spite of increased winter wave activity over the past couple of years, data are insufficient to enable conclusions to be made about a persistent trend in the international wave climate. Continental-scale mapping of wave energy resources together with fine-resolution mapping of coastal areas provides an overview of the wave resources to help identify the best areas for energy or test sites. Such mapping also provides information about local wave characteristics and resources that can be used for diminishing installation risks or optimising a site by selecting the most appropriate devices or array configurations. In addition to evaluating wave resources, fine estimates of energy yield from a site may require a good understanding of the wave interaction in an array of converters where significant wave interference may be induced. Finally, long-term trend estimates or periodic re-evaluations of wave resources to address potential wave climate change will probably be necessary to achieve sustainable wave energy exploitation.

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Notes

  1. 1.

    University of the Highlands and Islands.

  2. 2.

    University of the Highlands and Islands.

  3. 3.

    [http://www.emodnet-hydrography.eu].

References

  • ABP MER. (2008). Atlas of UK marine renewable energy resources: Atlas pages. A strategic environmental assessment report, Department for Business Entreprise and Regulatory Reform.

    Google Scholar 

  • Atan, R., Goggins, J., Hartnett, M., Agostinho, P., & Nash, S. (2016). Assessment of wave characteristics and resource variability at a 1/4-scale wave energy site in Galway Bay using waverider and high frequency radar (CODAR) data. Ocean Engineering, 117, 272–291.

    Article  Google Scholar 

  • Atan, R., Goggins, J., & Nash, S. (2015). A preliminary assessment of the wave characteristics at the Atlantic Marine Energy Test Site (AMETS) using SWAN. In Proceedings of the 11th European Wave and Tidal Energy Conference, Nantes, France.

    Google Scholar 

  • Barstow, S., Mollison, D., & Cruz, J. (2008). The wave energy resource. In Cruz, J. (Ed.), Ocean wave energy (pp. 40). Springer.

    Google Scholar 

  • Barstow, S., Mørk, G., Lønseth, L., & Mathisen J. P. (2009). WorldWaves wave energy resource assessments for the deep ocean to the coast. In Proceedings of the 8th European Wave and Tidal Energy Conference, Uppsala, Sweden (pp. 149–159).

    Google Scholar 

  • Becker, J. J., Sandwell, D. T., Smith, W. H. F., Braud, J., Binder, B., Depner, J., et al. (2009). Global bathymetry and elevation data at 30 arc seconds resolution: SRTM30_PLUS. Marine Geodesy, 32(4), 355–371.

    Article  Google Scholar 

  • Bertotti, L., & Cavaleri, L. (2012). Modelling waves at Orkney coastal locations. Journal of Marine Systems, 96–97, 116–121.

    Article  Google Scholar 

  • Booij, N., & Holthuijsen, L. H. (1987). Propagation of ocean waves in discrete spectral wave models. Journal of Computational Physics, 68(2), 307–326.

    Article  MATH  Google Scholar 

  • Booij, N., RisR, C., & Holthuijsen, L. H. (1999). A third generation model for coastal regions. Part I: model description and validation. Journal of Geophysical Research, 104(C4), 7649–7666.

    Article  Google Scholar 

  • Cavaleri, L., & Malanotte-Rizzoli, P. (1981). Wind wave prediction in shallow water. Theory and applications. Journal of Geophysical Research, 86C11, 10961–10973.

    Google Scholar 

  • DHI. (2007). MIKE21 SW—Spectral waves FM module User guide. Denmark: Scientific Document, Danish Hydraulic Institute.

    Google Scholar 

  • Dietrich, J. C., Ziljema, M., Allier, P. E., Holthuijsen, L. H., Booij, N., Meixner, J. D., et al. (2013). Limiters for spectral propagation velocities in SWAN. Ocean Modelling, 70, 85–102.

    Article  Google Scholar 

  • European Commission. (2015). Renewable energy progress report, Report from the commission to the European parliament, the council, the European economic and social committee and the committee of the regions, SWD (2015), p. 117.

    Google Scholar 

  • Gleizon, P., Campuzano F. J., Carracedo García, P., Gomez B., & Martinez, A. (2015). Wave energy mapping along the European Atlantic coast. In Proceedings of the 11th European Wave and Tidal Energy Conference, Nantes, France.

    Google Scholar 

  • Gleizon, P., & Murray, A. (2014). Modelling wave energy in archipelagos—Case of northern Scotland. In Proceedings of the 2nd Environmental Interactions of Marine Renewable Energy Technologies, Stornoway, United Kingdom.

    Google Scholar 

  • Gleizon, P., & Woolf, D. (2013). Wave energy assessment in Scotland. In Proceedings of the 10th European Wave and Tidal Energy Conference, Aalborg, Denmark.

    Google Scholar 

  • Guedes Soares, C., Weisse, R., Carretero, J. C., & Alvarez, E. (2002). A 40 years hindcast of wind, sea level and waves in European waters. In Proceedings of the 21st International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2002), Oslo, Norway.

    Google Scholar 

  • Guillou, N. (2015). Evaluation of wave energy potential in the Sea of Iroise with two spectral models. Ocean Engineering, 106, 141–151.

    Article  Google Scholar 

  • Guillou, N., & Chapalain, G. (2015). Numerical modelling of nearshore wave energy resource in the Sea of Iroise. Renewable Energy, 83, 942–953.

    Article  Google Scholar 

  • Hasselmann, K. (1962). On the nonlinear energy transfer in a gravity-wave spectrum—Part I. General Theory. Journal of Fluid Mechanics, 12, 481–500.

    Article  MathSciNet  MATH  Google Scholar 

  • Hasselmann, K., Barnett, T. P., Bouws, E., Carlson, H., Cartwright D. E., Enke, K., et al. (1973). Measurements of wind-wave growth and swell decayduring the Joint North Sea Wave Project (JONSWAP), Deutschen Hydrographischen Zeitschrift, Suppl. A(8) n° 12, pp. 95.

    Google Scholar 

  • Hersbach, H., & Janssen, P. A. E. M. (1999). Improvement of the short-fetch behavior in the wave ocean model (WAM). Journal of Atmospheric and Oceanic Technology, 16, 884–892.

    Article  Google Scholar 

  • Iglesias, G., & Carballo, R. (2009). Wave energy potential along the Death Coast (Spain). Energy, 34, 1963–1975.

    Article  Google Scholar 

  • Iglesias, G., & Carballo, R. (2010a). Offshore and inshore wave energy assessment: Asturias (N Spain). Energy, 35, 1964–1972.

    Article  Google Scholar 

  • Iglesias, G., & Carballo, R. (2010b). Wave energy and nearshore hot spots: The case of the SE Bay of Biscay. Renewable Energy, 35, 2490–2500.

    Article  Google Scholar 

  • Iglesias, G., & Carballo, R. (2010c). Wave energy resource in the Estaca de Bares area (Spain). Renewable Energy, 35, 1574–1594.

    Article  Google Scholar 

  • Iglesias, G., Lopez, M., Carballo, R., Castro, A., Fraguela, J. A., & Frigaard, P. (2009). Wave energy potential in Galicia (NW Spain). Renewable Energy, 34, 2323–2333.

    Article  Google Scholar 

  • Komen, G. J., Hasselmann, S., & Hasselmann, K. (1984). On the existence of a fully developed wind-sea spectrum. Journal of Physical Oceanography, 14, 1271–1285.

    Article  Google Scholar 

  • Leonard, B. P. (1979). A stable an accurate convective modelling procedure based on quadratic upstream interpolation. Computer Methods in Applied Mechanics and Engineering, 18, 17–74.

    Google Scholar 

  • Leonard, B. P. (1991). The ULTIMATE conservative difference scheme applied to unsteady one-dimensional advection. Computer Methods in Applied Mechanics and Engineering, 88, 59–98.

    Article  MATH  Google Scholar 

  • Lopez, I., Andreu, J., Ceballos, S., Martínez de Alegría, I., & Kortabarria, I. (2013). Review of wave energy technologies and the necessary power-equipment. Renewable and Sustainable Energy Reviews, 27, 413–434.

    Article  Google Scholar 

  • May, V. J., Hansom, J. D. (2003). Coastal geomorphology of Great Britain, Geological Conservation Review Series (Vol. 28, pp. 754). ISBN 1 86107 484 0.

    Google Scholar 

  • NCEP/NWS/NOAA/U.S. Department of Commerce. (2000). NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, Boulder, Colorado. Retrieved February 11, 2015, from http://dx.doi.org/10.5065/D6M043C6.

  • Nielsen, P. (2009). Coastal and Estuarine processes, advanced series on ocean engineering (Vol. 29). World Scientific.

    Google Scholar 

  • NREAP (National Renewable Energy Action Plan). (2010). http://ec.europa.eu/energy/en/topics/renewable-energy/national-action-plans.

  • Piollé, J. F., Croizé-Fillon, D. (2012). Operation of CERSAT data centre. Ifremer report 13/2 213 213.

    Google Scholar 

  • Pontes, M. T. (1998). Assessing the European wave energy resource. Journal of Offshore Mechanics and Artic Engineering, 120(4), 226–231.

    Article  Google Scholar 

  • Pontes, M. T., Athanassoulis, G. A., Barstow, S., Bertotti, L., Cavaleri, L., Holmes, B., et al. (1998). The European wave energy resource. In Proceedings of the 3rd European Wave Energy Conference, Patras, Greece.

    Google Scholar 

  • Robertson, B. (2017). Wave energy assessments: quantifying the resource and understanding the uncertainty. In Z. Yang & A. Copping (Ed.), Marine renewable energy: Resource characterization, practical energy harvest and effects on physical systems. Springer.

    Google Scholar 

  • Robertson, B., Hiles, C., & Buckham, B. (2014). Characterizing the near shore wave energy resource on the west coast of Vancouver Island. Canada, Renewable Energy, 71, 665–678.

    Article  Google Scholar 

  • Robertson, B., Hiles, C., Luczko, E., & Buckham, B. (2016). Quantifying wave power and wave energy converter array production potential. International Journal of Marine Energy, 14, 143–160.

    Article  Google Scholar 

  • Roland, A. (2009) Development of WWM II: Spectral wave modelling on unstructured meshes, Ph.D. thesis, Technische University at Darmstadt, Institute of Hydraulic and Water Resources Engineering.

    Google Scholar 

  • Stelling, G. S., & Leendertse J. J. (1992). Approximation of convective processes by cyclic AOI methods. In Proceedings of 2nd International Conference on Estuarine and Coastal Modelling, ASCE Tampa, Florida (pp. 771–782).

    Google Scholar 

  • Tolman, H. L. (1990). A third-generation model for wind waves on slowly varying, unsteady, and inhomogeneous depths and currents. Journal of Physical Oceanography, 21, 782–797.

    Article  Google Scholar 

  • Tolman, H. L. (2002). Alleviating the garden sprinkler effect in wind wave models. Ocean Modelling, 4, 269–289.

    Article  Google Scholar 

  • Tuomi, L., Pettersson, H., Fortelius, C., Tikka, K., & Björkqvist, Kahma K. K. (2014). Wave modelling in archipelagos. Coastal Engineering, 83, 205–220.

    Article  Google Scholar 

  • Van der Westhuysen, A. J., Zijlema, M., & Battjes, J. A. (2007). Nonlinear saturation-based whitecapping dissipation in SWAN for deep and shallow water. Coastal Engineering, 54, 151–170.

    Article  Google Scholar 

  • Venugopal, V., & Nemalidinne, R. (2015). Wave resource assessment for Scottish waters using a large scale North Atlantic spectral wave model. Renewable Energy, 76, 503–525.

    Article  Google Scholar 

  • WAMDI group (1988) The WAM model—a third generation wave prediction model, Journal of Physical Oceanography, 18, 1775–1810.

    Google Scholar 

  • WISE Group. (2007). Wave modeling—The state of the art. Progress in Oceanography, 75, 603–674.

    Google Scholar 

  • Yang, Z., & Wang T. (2015). Modelling wave resource characterization using and unstructured grid coastal ocean model. In Proceedings of the 11th European Wave and Tidal Energy Conference 2015, Nantes, France.

    Google Scholar 

  • Zijlema, M. (2010). Computation of wind-wave spectra in coastal waters with SWAN on unstructured grids. Coastal Engineering, 57, 267–277.

    Article  Google Scholar 

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Acknowledgements

This work was funded by the European Regional Development Fund under the EnergyMare project of the Atlantic Area Programme.

The authors are grateful to INCAT (Ingeniería Civil de Atlàntico) for post-processing the model output data and for producing maps of wave height and wave power along the Galician coast, and to Thibault Coulombier and Camille Letretel for their help in providing additional data related to the French coast.

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Authors and Affiliations

  1. Environmental Research Institute, University of the Highlands and Islands, Thurso, UK

    Philippe Gleizon

  2. Maretec, Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, Lisbon, Portugal

    Francisco Campuzano

  3. Meteogalicia, San Lazaro S/N, Santiago de Compostela, Spain

    Pablo Carracedo

  4. EIGSI, 26 rue Vaux de Foletier, La Rochelle, France

    André Martinez

  5. College of Engineering and Informatics and Marine Renewable Energy Ireland Research Centre, National University of Ireland, Galway, Ireland

    Jamie Goggins, Reduan Atan & Stephen Nash

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  1. Philippe Gleizon
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  2. Francisco Campuzano
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  4. André Martinez
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  5. Jamie Goggins
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  6. Reduan Atan
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  7. Stephen Nash
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Correspondence to Philippe Gleizon .

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Editors and Affiliations

  1. Marine Sciences Laboratory, Pacific Northwest National Laboratory, Seattle, Washington, USA

    Zhaoqing Yang

  2. Marine Sciences Laboratory, Pacific Northwest National Laboratory, Seattle, Washington, USA

    Andrea Copping

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Gleizon, P. et al. (2017). Wave Energy Resources Along the European Atlantic Coast. In: Yang, Z., Copping, A. (eds) Marine Renewable Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-53536-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-53536-4_2

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