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Journal of Marine Science and Engineering
Article . 2022 . Peer-reviewed
License: CC BY
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Numerical Analysis of an Overtopping Wave Energy Converter Subjected to the Incidence of Irregular and Regular Waves from Realistic Sea States

Authors: Ricardo G. Hubner; Cristiano Fragassa; Maycon da S. Paiva; Phelype H. Oleinik; Mateus das N. Gomes; Luiz A. O. Rocha; Elizaldo D. dos Santos; +2 Authors

Numerical Analysis of an Overtopping Wave Energy Converter Subjected to the Incidence of Irregular and Regular Waves from Realistic Sea States

Abstract

The present study aims to evaluate the difference in the fluid-dynamic behavior of an overtopping wave energy converter under the incidence of irregular waves based on a realistic sea state when compared to the incidence of regular waves, representative of this sea state. Thus, the sea data of three regions from the Rio Grande do Sul coast, Brazil, were considered. Fluent software was employed for the computational modeling, which is based on the finite volume method (FVM). The numerical generation of waves occurred through the imposition of the velocity boundary conditions using transient discrete values through the WaveMIMO methodology. The volume of fluid (VOF) multiphase model was applied to treat the water–air interaction. The results for the water amount accumulated in the device reservoir showed that the fluid-dynamic behavior of the overtopping converter has significant differences when comparing the two proposed approaches. Differences up to 240% were found for the water mass accumulated in the overtopping device reservoir, showing evidence that the results can be overestimated when the overtopping device is analyzed under the incidence of the representative regular waves. Furthermore, for all studied cases, it was possible to approximate the water volume accumulated over time in the overtopping reservoir through a first-degree polynomial function.

Country
Italy
Keywords

computational modeling, Naval architecture. Shipbuilding. Marine engineering, VM1-989, GC1-1581, Oceanography, computational modeling; realistic sea state; wave energy; WaveMIMO methodology, wave energy; WaveMIMO methodology; realistic sea state; computational modeling, WaveMIMO methodology, realistic sea state, wave energy

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