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Numerical Modeling of the Wave Energy Propagation in the Iberian Nearshore

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  • Eugen Rusu

    (Department of Mechanical Engineering, Faculty of Engineering, “Dunărea de Jos” University of Galati, 47 Domneasca Street, 800008 Galati, Romania)

Abstract

In the present work the wave energy propagation patterns in the western side of the Iberian nearshore were evaluated. This assessment takes into account the results provided by a wave modelling system based on spectral phase averaged wave models, which considers subsequent computational domains with increasing resolution towards the coast. The system was previously validated against both in situ measurements and remotely sensed data. Moreover, several data assimilation techniques were implemented as well. In this way, the reliability of the wave predictions was significantly increased. Although extended wave hindcasts have already been carried out close to the Iberian coast of the Atlantic Ocean, including wave energy assessments, they might not be completely accurate because of recent changes in the dynamics of the ocean and coastal wave climate. Thus, the present work considers wave nowcasts that correspond to the most recent and relevant wave energy propagation patterns in the targeted coastal environment. In order to perform this analysis, four different computational levels were considered. The first level corresponds to the sub oceanic domain and it is linked directly to the oceanic wave model, which is implemented over the entire North Atlantic Ocean. The second is related to the coarser computational domains of the coastal areas, while the third relates to the high-resolution domains. These three levels are defined as spherical coordinates (longitude, latitude). Finally, the last computational level includes some coastal areas which have the highest spatial resolution, defined considering the Cartesian coordinates. Moreover, for each level several computational domains have been considered. This work illustrates the most recent and significant wave transformation and energy propagation patterns corresponding to 18 computational domains with various resolutions in the western Iberian coastal environment.

Suggested Citation

  • Eugen Rusu, 2018. "Numerical Modeling of the Wave Energy Propagation in the Iberian Nearshore," Energies, MDPI, vol. 11(4), pages 1-18, April.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:980-:d:141888
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    References listed on IDEAS

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    1. Carballo, R. & Sánchez, M. & Ramos, V. & Taveira-Pinto, F. & Iglesias, G., 2014. "A high resolution geospatial database for wave energy exploitation," Energy, Elsevier, vol. 68(C), pages 572-583.
    2. Iglesias, G. & Carballo, R., 2009. "Wave energy potential along the Death Coast (Spain)," Energy, Elsevier, vol. 34(11), pages 1963-1975.
    3. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    4. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2013. "Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore," Energies, MDPI, vol. 6(3), pages 1-21, March.
    5. Vicinanza, D. & Contestabile, P. & Ferrante, V., 2013. "Wave energy potential in the north-west of Sardinia (Italy)," Renewable Energy, Elsevier, vol. 50(C), pages 506-521.
    6. Onea, Florin & Rusu, Eugen, 2016. "The expected efficiency and coastal impact of a hybrid energy farm operating in the Portuguese nearshore," Energy, Elsevier, vol. 97(C), pages 411-423.
    7. Rusu, Eugen & Guedes Soares, C., 2009. "Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore," Renewable Energy, Elsevier, vol. 34(6), pages 1501-1516.
    8. Silva, Dina & Bento, A. Rute & Martinho, Paulo & Guedes Soares, C., 2015. "High resolution local wave energy modelling in the Iberian Peninsula," Energy, Elsevier, vol. 91(C), pages 1099-1112.
    9. Iglesias, G. & Carballo, R., 2010. "Offshore and inshore wave energy assessment: Asturias (N Spain)," Energy, Elsevier, vol. 35(5), pages 1964-1972.
    10. Iglesias, G. & Carballo, R., 2010. "Wave energy resource in the Estaca de Bares area (Spain)," Renewable Energy, Elsevier, vol. 35(7), pages 1574-1584.
    11. Rezanejad, K. & Guedes Soares, C. & López, I. & Carballo, R., 2017. "Experimental and numerical investigation of the hydrodynamic performance of an oscillating water column wave energy converter," Renewable Energy, Elsevier, vol. 106(C), pages 1-16.
    12. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2016. "High-Resolution Wave Energy Assessment in Shallow Water Accounting for Tides," Energies, MDPI, vol. 9(9), pages 1-19, September.
    13. Iglesias, G. & Carballo, R., 2010. "Wave energy and nearshore hot spots: The case of the SE Bay of Biscay," Renewable Energy, Elsevier, vol. 35(11), pages 2490-2500.
    14. Rusu, Liliana & Onea, Florin, 2017. "The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1348-1362.
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    Cited by:

    1. Ulazia, Alain & Esnaola, Ganix & Serras, Paula & Penalba, Markel, 2020. "On the impact of long-term wave trends on the geometry optimisation of oscillating water column wave energy converters," Energy, Elsevier, vol. 206(C).
    2. Oscar Barambones & Jose M. Gonzalez de Durana & Isidro Calvo, 2018. "Adaptive Sliding Mode Control for a Double Fed Induction Generator Used in an Oscillating Water Column System," Energies, MDPI, vol. 11(11), pages 1-27, October.
    3. Carlo Lo Re & Giorgio Manno & Giuseppe Ciraolo & Giovanni Besio, 2019. "Wave Energy Assessment around the Aegadian Islands (Sicily)," Energies, MDPI, vol. 12(3), pages 1-20, January.
    4. Daniel Ganea & Elena Mereuta & Liliana Rusu, 2018. "Estimation of the Near Future Wind Power Potential in the Black Sea," Energies, MDPI, vol. 11(11), pages 1-21, November.
    5. Rusu, Eugen, 2024. "The expected wind power dynamics in the Mediterranean Sea considering different climate change scenarios," Renewable Energy, Elsevier, vol. 227(C).
    6. Eugen Rusu & Vengatesan Venugopal, 2019. "Special Issue “Offshore Renewable Energy: Ocean Waves, Tides and Offshore Wind”," Energies, MDPI, vol. 12(1), pages 1-4, January.

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