IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v121y2017icp176-184.html
   My bibliography  Save this article

Numerical evaluation of wave energy potential in the south of Brazil

Author

Listed:
  • Lisboa, Rodrigo C.
  • Teixeira, Paulo R.F.
  • Fortes, Conceição Juana

Abstract

Wave energy extraction in coastal regions may be an excellent alternative due to the increase in global demand for renewable energy. The viability study of this extraction depends on the evaluation of the wave energy potential that is higher in regions located in high latitudes. Therefore, this study shows evaluation and characterization of wave energy in the south of Brazil. Numerical simulations were carried out by the Mike 21 SW spectral model which was calibrated and validated in the region measurement campaigns. Annual, seasonal and monthly means and the temporal variability of the wave energy potential in a 10-year wave hindcast were analyzed offshore and nearshore. Annual mean fluxes in three points nearshore had similar values; the highest one was 6.7 kW/m, while the wave energy flux offshore was 22.3 kW/m. The refraction and the bottom friction dissipation were responsible for the wave attenuation from offshore to nearshore and, consequently, for the decrease in wave energy. The annual, seasonal and monthly variabilities of wave energy fluxes were moderate offshore and high nearshore. A directional analysis showed that the dominant wave directions were S and NE offshore whereas they were SSE and E nearshore.

Suggested Citation

  • Lisboa, Rodrigo C. & Teixeira, Paulo R.F. & Fortes, Conceição Juana, 2017. "Numerical evaluation of wave energy potential in the south of Brazil," Energy, Elsevier, vol. 121(C), pages 176-184.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:176-184
    DOI: 10.1016/j.energy.2017.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217300014
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.01.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Appendini, Christian M. & Urbano-Latorre, Claudia P. & Figueroa, Bernardo & Dagua-Paz, Claudia J. & Torres-Freyermuth, Alec & Salles, Paulo, 2015. "Wave energy potential assessment in the Caribbean Low Level Jet using wave hindcast information," Applied Energy, Elsevier, vol. 137(C), pages 375-384.
    2. 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.
    3. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    4. 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.
    5. Alonso, Rodrigo & Solari, Sebastián & Teixeira, Luis, 2015. "Wave energy resource assessment in Uruguay," Energy, Elsevier, vol. 93(P1), pages 683-696.
    6. Liberti, Luca & Carillo, Adriana & Sannino, Gianmaria, 2013. "Wave energy resource assessment in the Mediterranean, the Italian perspective," Renewable Energy, Elsevier, vol. 50(C), pages 938-949.
    7. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alain Ulazia & Markel Penalba & Arkaitz Rabanal & Gabriel Ibarra-Berastegi & John Ringwood & Jon Sáenz, 2018. "Historical Evolution of the Wave Resource and Energy Production off the Chilean Coast over the 20th Century," Energies, MDPI, vol. 11(9), pages 1-23, August.
    2. Torres, Fernando R. & Teixeira, Paulo R.F. & Didier, Eric, 2018. "A methodology to determine the optimal size of a wells turbine in an oscillating water column device by using coupled hydro-aerodynamic models," Renewable Energy, Elsevier, vol. 121(C), pages 9-18.
    3. Jahangir, Mohammad Hossein & Hosseini, Seyed Sina & Mehrpooya, Mehdi, 2018. "A detailed theoretical modeling and parametric investigation of potential power in heaving buoys," Energy, Elsevier, vol. 154(C), pages 201-209.
    4. Gonçalves, Rafael A.A.C. & Teixeira, Paulo R.F. & Didier, Eric & Torres, Fernando R., 2020. "Numerical analysis of the influence of air compressibility effects on an oscillating water column wave energy converter chamber," Renewable Energy, Elsevier, vol. 153(C), pages 1183-1193.
    5. Lisboa, Rodrigo C. & Teixeira, Paulo R.F. & Torres, Fernando R. & Didier, Eric, 2018. "Numerical evaluation of the power output of an oscillating water column wave energy converter installed in the southern Brazilian coast," Energy, Elsevier, vol. 162(C), pages 1115-1124.
    6. 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.
    7. Jahangir, Mohammad Hossein & Mazinani, Mehran, 2020. "Evaluation of the convertible offshore wave energy capacity of the southern strip of the Caspian Sea," Renewable Energy, Elsevier, vol. 152(C), pages 331-346.
    8. 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.
    9. Teixeira, Paulo R.F. & Didier, Eric, 2021. "Numerical analysis of the response of an onshore oscillating water column wave energy converter to random waves," Energy, Elsevier, vol. 220(C).
    10. 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.
    11. Zhao, Huai & Zhang, Haicheng & Bi, Rengui & Xi, Ru & Xu, Daolin & Shi, Qijia & Wu, Bo, 2020. "Enhancing efficiency of a point absorber bistable wave energy converter under low wave excitations," Energy, Elsevier, vol. 212(C).
    12. Rusu, Liliana, 2022. "The near future expected wave power in the coastal environment of the Iberian Peninsula," Renewable Energy, Elsevier, vol. 195(C), pages 657-669.
    13. de Oliveira, Lucas & Santos, Ivan Felipe Silva dos & Schmidt, Nágila Lucietti & Tiago Filho, Geraldo Lúcio & Camacho, Ramiro Gustavo Ramirez & Barros, Regina Mambeli, 2021. "Economic feasibility study of ocean wave electricity generation in Brazil," Renewable Energy, Elsevier, vol. 178(C), pages 1279-1290.
    14. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
    2. Lisboa, Rodrigo C. & Teixeira, Paulo R.F. & Torres, Fernando R. & Didier, Eric, 2018. "Numerical evaluation of the power output of an oscillating water column wave energy converter installed in the southern Brazilian coast," Energy, Elsevier, vol. 162(C), pages 1115-1124.
    3. Masoud, Alaa A., 2022. "On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques," Renewable Energy, Elsevier, vol. 196(C), pages 921-945.
    4. Bingölbali, Bilal & Jafali, Halid & Akpınar, Adem & Bekiroğlu, Serkan, 2020. "Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas," Renewable Energy, Elsevier, vol. 154(C), pages 136-150.
    5. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    6. Egidijus Kasiulis & Jens Peter Kofoed & Arvydas Povilaitis & Algirdas Radzevičius, 2017. "Spatial Distribution of the Baltic Sea Near-Shore Wave Power Potential along the Coast of Klaipėda, Lithuania," Energies, MDPI, vol. 10(12), pages 1-18, December.
    7. Jahangir, Mohammad Hossein & Mazinani, Mehran, 2020. "Evaluation of the convertible offshore wave energy capacity of the southern strip of the Caspian Sea," Renewable Energy, Elsevier, vol. 152(C), pages 331-346.
    8. Liang, Bingchen & Shao, Zhuxiao & Wu, Guoxiang & Shao, Meng & Sun, Jinwei, 2017. "New equations of wave energy assessment accounting for the water depth," Applied Energy, Elsevier, vol. 188(C), pages 130-139.
    9. Aristodemo, Francesco & Algieri Ferraro, Danilo, 2018. "Feasibility of WEC installations for domestic and public electrical supplies: A case study off the Calabrian coast," Renewable Energy, Elsevier, vol. 121(C), pages 261-285.
    10. 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.
    11. Takvor H. Soukissian & Dimitra Denaxa & Flora Karathanasi & Aristides Prospathopoulos & Konstantinos Sarantakos & Athanasia Iona & Konstantinos Georgantas & Spyridon Mavrakos, 2017. "Marine Renewable Energy in the Mediterranean Sea: Status and Perspectives," Energies, MDPI, vol. 10(10), pages 1-56, September.
    12. Joan Pau Sierra & Ricard Castrillo & Marc Mestres & César Mösso & Piero Lionello & Luigi Marzo, 2020. "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco," Energies, MDPI, vol. 13(11), pages 1-19, June.
    13. Amarouche, Khalid & Akpınar, Adem & Bachari, Nour El Islam & Houma, Fouzia, 2020. "Wave energy resource assessment along the Algerian coast based on 39-year wave hindcast," Renewable Energy, Elsevier, vol. 153(C), pages 840-860.
    14. Barbariol, Francesco & Benetazzo, Alvise & Carniel, Sandro & Sclavo, Mauro, 2013. "Improving the assessment of wave energy resources by means of coupled wave-ocean numerical modeling," Renewable Energy, Elsevier, vol. 60(C), pages 462-471.
    15. Su, Wen-Ray & Chen, Hongey & Chen, Wei-Bo & Chang, Chih-Hsin & Lin, Lee-Yaw & Jang, Jiun-Huei & Yu, Yi-Chiang, 2018. "Numerical investigation of wave energy resources and hotspots in the surrounding waters of Taiwan," Renewable Energy, Elsevier, vol. 118(C), pages 814-824.
    16. Appendini, Christian M. & Urbano-Latorre, Claudia P. & Figueroa, Bernardo & Dagua-Paz, Claudia J. & Torres-Freyermuth, Alec & Salles, Paulo, 2015. "Wave energy potential assessment in the Caribbean Low Level Jet using wave hindcast information," Applied Energy, Elsevier, vol. 137(C), pages 375-384.
    17. Fadaeenejad, M. & Shamsipour, R. & Rokni, S.D. & Gomes, C., 2014. "New approaches in harnessing wave energy: With special attention to small islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 345-354.
    18. Bozzi, Silvia & Archetti, Renata & Passoni, Giuseppe, 2014. "Wave electricity production in Italian offshore: A preliminary investigation," Renewable Energy, Elsevier, vol. 62(C), pages 407-416.
    19. Guillou, Nicolas & Chapalain, Georges, 2020. "Assessment of wave power variability and exploitation with a long-term hindcast database," Renewable Energy, Elsevier, vol. 154(C), pages 1272-1282.
    20. Valentina Vannucchi & Lorenzo Cappietti, 2016. "Wave Energy Assessment and Performance Estimation of State of the Art Wave Energy Converters in Italian Hotspots," Sustainability, MDPI, vol. 8(12), pages 1-21, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:121:y:2017:i:c:p:176-184. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.