Study review of the electrical power generation: Wave energy converting device system from the swell

Taboada, José Antonio Franco; Casás, V D; Yu, Xianghui; Gemilang, Gilang Muhammad; Sampaio, Pedro

doi:10.1088/1757-899x/1201/1/012001

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Extreme waves cause intensive coastal erosion, flooding and damage while long-term mean wave conditions affect coastal processes. Therefore, our results can have important implications for wave energy harvesting and attenuation designs (Taboada et al, 2021;Zhu et al, 2020). By utilizing unique wave family characteristics, it may be possible to construct more effective and efficient designs exclusively built for local wave climate conditions.…”

Section: Discussionmentioning

confidence: 82%

Historical change and variability of spectral wind wave climate in the New York Bight

Venolia,

Marsooli,

Portilla‐Yandún

2024

Intl Journal of Climatology

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The sea surface is a complex superposition of various wave systems, thus, analysing their characteristics provides more meaningful and accurate information compared to conventional integrated wave parameter approaches. The concept of wave family—a population of wave systems within a specific region in spectral space—provides the foundation for investigating the long‐term climatology of wave systems. This study adopts a wave family approach to investigate the climatology of wave systems and their long‐term climate controllers at the location of a coastal buoy in the western North Atlantic Ocean. The frequency‐direction wave spectrum is constructed for a historical 20‐year period by applying the Maximum Entropy Method on directional buoy measurements acquired from the National Data Buoy Center station 44025, located in the New York Bight. The two‐dimensional wave spectrum is partitioned, using the watershed partitioning algorithm, and the occurrence distribution of spectral partitions is calculated to identify predominant wave families. Each of the four identified wave families carries unique characteristics based on spatial formation and duration of propagation prior to arrival at the study site. The study quantifies long‐term trends and variability in wave height of each wave family on a monthly, seasonal and annual level, and their relative importance to the bulk sea‐state climatology. The nexus between the bulk or wave family seasonal wave heights and the climate indices is quantified to identify the wave climate controllers in the study area.

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Section: Discussionmentioning

confidence: 82%

Historical change and variability of spectral wind wave climate in the New York Bight

Venolia,

Marsooli,

Portilla‐Yandún

2024

Intl Journal of Climatology

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“…The analysis of the wave energy resource is an essential requisite for the strategic planning of its adequate usage, as well as for the design of WECs [19]. In a general way, the waves start as small ripples that become larger due to the sustained transfer of energy from wind.…”

Section: Ocean Wave Energy and Its Conversionmentioning

confidence: 99%

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

Hübner

Fragassa

Paiva

et al. 2022

JMSE

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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.

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Study review of the electrical power generation: Wave energy converting device system from the swell

Cited by 2 publications

References 7 publications

Historical change and variability of spectral wind wave climate in the New York Bight

Historical change and variability of spectral wind wave climate in the New York Bight

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

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