A multi-objective approach for location and layout optimization of wave energy converters

Shadmani, Alireza; Nikoo, Mohammad Reza; Etri, Talal; Gandomi, Amir H.

doi:10.1016/j.apenergy.2023.121397

Cited by 18 publications

(1 citation statement)

References 88 publications

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“…In regions characterized by low wave energy density, such as specific low latitudes even during the summer monsoon, energy levels are notably diminished compared to the winters in higher latitudes [7]. As a result, past wave energy projects have placed significant emphasis on site selection to optimize wave energy density [8][9][10]. Consequently, enhancing wave energy density has become critical to meet the demands of wave energy development.…”

Section: Introductionmentioning

confidence: 99%

The Wave Amplification Mechanism of Resonant Caisson

Hao,

Ding,

et al. 2024

JMSE

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Previous studies have introduced a resonant caisson designed to enhance wave energy extraction in regions with low wave energy density; however, its operational mechanism remains poorly understood. This paper seeks to elucidate the operational mechanism of the resonant caisson by leveraging Star-CCM+ for Computational Fluid Dynamics (CFD) simulations, focusing on the influence of guides and their dimensions on the water levels, flow velocities, and vortex dynamics. The findings demonstrate the remarkable wave-amplification capabilities of the resonant caisson, with the maximum amplification factor reaching 2.31 at the calculated frequency in the absence of guides. Incorporating guides and expanding their radii substantially elevate the flow rates, accelerate the water currents, and alter the vortex patterns, thereby further enhancing the amplification factor. This study will provide a reference for optimizing the design of resonant caissons and wave energy converters based on resonant caissons, thus promoting the effective use of wave energy resources.

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Section: Introductionmentioning

confidence: 99%

The Wave Amplification Mechanism of Resonant Caisson

Hao,

Ding,

et al. 2024

JMSE

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Structural Quality Factor of Flo‐TENG under Stochastic Wave Excitation

Guo,

Chen,

et al. 2024

Advanced Science

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Triboelectric nanogenerators (TENGs) have recently emerged as a promising technology for efficient water wave energy harvesting. However, there is a paucity of clear guidance regarding the optimal designs of TENGs and their shells to achieve efficient absorption and conversion of water wave energy in real random waves. Herein, from the perspective of wave‐body interaction and energy transfer, this paper proposes a structural quality factor (Qunit) for the quantitative evaluation of both the motion of floating triboelectric nanogenerator (Flo‐TENG) shells and their capability to absorb and convert water wave energy efficiently. The factor is further subdivided into the amplitude structural quality factor (Qacc), which characterizes shell motion amplitude, and the frequency structural quality factor (Qf), which describes shell motion frequency. This paper systematically investigates the impact of various shell parameters such as bow shapes, curvatures, inclinations, and immersion ratios on Qacc and Qf. The findings indicate that variations in shell shape result in distinct Qunit values along different axial directions of wave propagation. These variations directly influence energy absorption efficiency in these directions. These results provide fundamental guidance for the design of high‐performance Flo‐TENG shells and the selection of internal energy harvesting directions to enable more efficient energy conversion.

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Farms of Wave Energy Converters and Grid Integration

Temiz,

Göteman

2024

Encyclopedia of Renewable Energy, Sustainability and the Environment

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A multi-objective approach for location and layout optimization of wave energy converters

Cited by 18 publications

References 88 publications

The Wave Amplification Mechanism of Resonant Caisson

The Wave Amplification Mechanism of Resonant Caisson

Structural Quality Factor of Flo‐TENG under Stochastic Wave Excitation

Farms of Wave Energy Converters and Grid Integration

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