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High-Resolution Wave Energy Assessment in Shallow Water Accounting for Tides

Author

Listed:
  • Dina Silva

    (Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, 1049-001 Lisboa, Portugal)

  • Eugen Rusu

    (Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, 1049-001 Lisboa, Portugal)

  • Carlos Guedes Soares

    (Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, 1049-001 Lisboa, Portugal)

Abstract

The wave energy in a shallow water location is evaluated considering the influence of the local tide and wind on the wave propagation. The target is the coastal area just north of the Portuguese city of Peniche, where a wave energy converter operates on the sea bottom. A wave modelling system based on SWAN has been implemented and focused on this coastal environment in a multilevel computational scheme. The first three SWAN computational belonging to this wave prediction system were defined using the spherical coordinates. In the highest resolution computational domain, Cartesian coordinates have been considered, with a resolution of 25 m in both directions. An in-depth analysis of the main characteristics of the environmental matrix has been performed. This is based on the results of eight-year model system simulations (2005–2012). New simulations have been carried out in the last two computational domains with the most relevant wave and wind patterns, considering also the tide effect. The results show that the tide level, together with the wind intensity and direction, may influence to a significant degree the wave characteristics. This especially concerns the wave power in the location where the wave converter operates.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:9:p:761-:d:78513
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    References listed on IDEAS

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    1. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    2. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2014. "Wave energy conditions in the western French coast," Renewable Energy, Elsevier, vol. 62(C), pages 155-163.
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    4. 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.
    5. Clément, Alain & McCullen, Pat & Falcão, António & Fiorentino, Antonio & Gardner, Fred & Hammarlund, Karin & Lemonis, George & Lewis, Tony & Nielsen, Kim & Petroncini, Simona & Pontes, M. -Teresa & Sc, 2002. "Wave energy in Europe: current status and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(5), pages 405-431, October.
    6. Rute Bento, A. & Martinho, Paulo & Guedes Soares, C., 2015. "Numerical modelling of the wave energy in Galway Bay," Renewable Energy, Elsevier, vol. 78(C), pages 457-466.
    7. 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.
    8. Mackay, Edward B.L. & Bahaj, AbuBakr S. & Challenor, Peter G., 2010. "Uncertainty in wave energy resource assessment. Part 2: Variability and predictability," Renewable Energy, Elsevier, vol. 35(8), pages 1809-1819.
    9. Rusu, Eugen & Guedes Soares, C., 2012. "Wave energy pattern around the Madeira Islands," Energy, Elsevier, vol. 45(1), pages 771-785.
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    Cited by:

    1. Francisco Haces-Fernandez & Hua Li & David Ramirez, 2018. "Assessment of the Potential of Energy Extracted from Waves and Wind to Supply Offshore Oil Platforms Operating in the Gulf of Mexico," Energies, MDPI, vol. 11(5), pages 1-25, April.
    2. 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.
    3. Rusu, Liliana, 2020. "A projection of the expected wave power in the Black Sea until the end of the 21st century," Renewable Energy, Elsevier, vol. 160(C), pages 136-147.
    4. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    5. Eugen Rusu, 2018. "Numerical Modeling of the Wave Energy Propagation in the Iberian Nearshore," Energies, MDPI, vol. 11(4), pages 1-18, April.
    6. Liliana Rusu & Eugen Rusu, 2021. "Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements," Energies, MDPI, vol. 14(2), pages 1-16, January.
    7. Silva, Dina & Martinho, Paulo & Guedes Soares, C., 2018. "Wave energy distribution along the Portuguese continental coast based on a thirty three years hindcast," Renewable Energy, Elsevier, vol. 127(C), pages 1064-1075.
    8. 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.
    9. Rusu, Liliana, 2019. "Evaluation of the near future wave energy resources in the Black Sea under two climate scenarios," Renewable Energy, Elsevier, vol. 142(C), pages 137-146.

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