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Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters

Author

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  • Mendes, R.P.G.
  • Calado, M.R.A.
  • Mariano, S.J.P.S.

Abstract

This paper addresses the importance of the probabilistic analysis in determining the wave energy potential to support the design of electrical generators for wave energy conversion. The irregular activity of ocean waves induces variable frequencies and amplitudes of operation for point absorbers electrical generators, which may lead to the construction of inefficient electrical machines. Applying probabilistic models to describe the ocean wave's behavior allows the determination of the values most likely to be sampled for ocean-state parameters. Knowing these values, the most expected ocean wave potential can be determined and a proper device design can be performed. This work also refers to the importance of using the joint probability models instead of the marginal ones. Seven locations at the Portuguese coast are evaluated in order to determine their wave energy resource potential.

Suggested Citation

  • Mendes, R.P.G. & Calado, M.R.A. & Mariano, S.J.P.S., 2012. "Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters," Renewable Energy, Elsevier, vol. 47(C), pages 1-8.
    • Handle: RePEc:eee:renene:v:47:y:2012:i:c:p:1-8
    DOI: 10.1016/j.renene.2012.04.009
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    3. Kasiulis, Egidijus & Punys, Petras & Kofoed, Jens Peter, 2015. "Assessment of theoretical near-shore wave power potential along the Lithuanian coast of the Baltic Sea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 134-142.
    4. 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.
    5. Zhou, Guoqing & Huang, Jingjin & Zhang, Guangyun, 2015. "Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China," Energy, Elsevier, vol. 85(C), pages 449-457.
    6. 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.
    7. Soumya Ghosh & Mrinmoy Majumder & Manish Pal, 2018. "Application of metaheuristic algorithm to identify priority parameters for the selection of feasible location having optimum wave energy potential," Energy & Environment, , vol. 29(1), pages 3-28, February.

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