CFD study of a moored floating cylinder: Comparison with experimental data

Palm, Johannes; Eskilsson, Claes; Bergdahl, Lars; Paredes, Guilherme Moura

doi:10.1201/b18973-128

Cited by 4 publications

(16 citation statements)

References 3 publications

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“…Cylindrical buoy [191,192] g H • 2,5 Cylindrical buoy [101,149,160,164,[170][171][172]179,189,190,202,203] g H -Spherical buoy [47,58,126,128,165,173,205,208] g H -Cylindrical buoy [78,128,132,200] g H -Box shaped buoy [202] g R -Box shaped buoy [37,52,117] g H -Cone shaped buoy [56,120] g S -Box shape buoy [142] g H -Multi body buoy [139] g H , P -Box shaped buoy [102,202] g S , H -Spherical buoy [134] g H , P -Cylindrical buoy [210] g H , P -Cylindrical spar [150,212] g 6DOF -Spherical-bottomed buoy [43,82,147,177,200] g H , S , P -Cylindrical buoy [206] g H , S , P -Spherical buoy …”

Section: Point Absorbermentioning

confidence: 99%

“…The PTO system is inherently required to assess the power output of a WEC, hence has historically been the first subsystem included into CNWTs. In contrast, only recently mooring in [81,82,147,157] and control systems in [170,171,188,201] have been implemented and considered in CNWT WEC experiments. Generally, the implementation of high-fidelity models for the WEC subsystems are desired, to justify the enhanced cost for CFD simulations, otherwise the inclusion of lower fidelity WEC subsystem models will undermine the accuracy of the high-fidelity hydrodynamic model.…”

Section: Wec Subsystemsmentioning

confidence: 99%

“…snap loads) into account. A more sophisticated representation of a mooring line is given in [82,147], which utilises a high-order non-linear Finite Element (FE) solver, so that non-linear mooring forces and snap loads can be captured.…”

Section: Mooringmentioning

confidence: 99%

“…Here, structural solvers are coupled with CFD, using fluid forces as input only (one-way), or additionally feeding structural displacements back to the CFD solver (two-way). Connecting CFD solvers to a numerical toolbox, such as Matlab, PTO systems [188], sophisticated control algorithms [190] or mooring models [82,147] can be included in the CNWT. Mooring has also be added to the CNWT through specific mooring solvers, such as OrcaFlex [55,81].…”

Section: Hybrid Simulationsmentioning

confidence: 99%

“…Refs. [18,92,131,142,147,160,177] and Refs. [53,92,95,102,116,159,173,184,186,202] provide detail on their body discretisation.…”

Section: Discretisation Quantitiesmentioning

confidence: 99%

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High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks

Windt

Davidson

Ringwood

2018

Renewable and Sustainable Energy Reviews

166

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For the research and development (R&D) of wave energy converters (WECs), numerical wave tanks (NWTs) provide an excellent numerical tool, enabling a cost-effective testbed for WEC experimentation, analysis and optimisation. Different methods for simulating the fluid dynamics and fluid structure interaction (FSI) within the NWT have been developed over the years, with increasing levels of fidelity, and associated computational expense. In the past, the high computational requirements largely precluded Computational Fluid Dynamics (CFD) from being applied to WEC analysis. However, the continual improvement and availability of high performance computing has led to the steady increase of CFD-based NWTs (CNWT) for WEC experiments. No attempt has yet been undertaken to comprehensively review CNWT approaches for WECs. This paper fills this gap and presents a thorough review of high-fidelity numerical modelling of WECs using CNWTs. In addition to collating the published literature, this review tries to make a step towards a best practice guideline for the applications of CFD in the field of wave energy.

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Section: Point Absorbermentioning

confidence: 99%

Section: Wec Subsystemsmentioning

confidence: 99%

Section: Mooringmentioning

confidence: 99%

Section: Hybrid Simulationsmentioning

confidence: 99%

“…Refs. [18,92,131,142,147,160,177] and Refs. [53,92,95,102,116,159,173,184,186,202] provide detail on their body discretisation.…”

Section: Discretisation Quantitiesmentioning

confidence: 99%

See 3 more Smart Citations

High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks

Windt

Davidson

Ringwood

2018

Renewable and Sustainable Energy Reviews

166

View full text Add to dashboard Cite

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Offshore Measurements and Numerical Validation of the Mooring Forces on a 1:5 Scale Buoy

Engström

Shahroozi

Katsidoniotaki

et al. 2023

JMSE

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Wave energy conversion is a renewable energy technology with a promising potential. Although it has been developed for more than 200 years, the technology is still far from mature. The survivability in extreme weather conditions is a key parameter halting its development. We present here results from two weeks of measurement with a force measurement buoy deployed at Uppsala University’s test site for wave energy research at the west coast of Sweden. The collected data have been used to investigate the reliability for two typical numerical wave energy converter models: one low fidelity model based on linear wave theory and one high fidelity Reynolds-Averaged Navier–Stokes model. The line force data is also analysed by extreme value theory using the peak-over-threshold method to study the statistical distribution of extreme forces and to predict the return period. The high fidelity model shows rather good agreement for the smaller waves, but overestimates the forces for larger waves, which can be attributed to uncertainties related to field measurements and numerical modelling uncertainties. The peak-over-threshold method gives a rather satisfying result for this data set. A significant deviation is observed in the measured force for sea states with the same significant wave height. This indicates that it will be difficult to calculate the force based on the significant wave height only, which points out the importance of more offshore experiments.

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Performance of a Raft-Type Wave Energy Converter with Diverse Mooring Configurations

Zhang,

Chen,

et al. 2023

JMSE

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The development and utilization of wave energy, heralded as a potential leading source of clean energy worldwide, have garnered considerable attention from the global research community. Among the diverse array of wave energy converters (WECs), the raft-type WEC stands out for its potential to efficiently harness and utilize wave energy, offering high energy conversion rates and a broad frequency response range. This paper delves into the evaluation of a raft-type WEC’s performance in various mooring configurations under different wave conditions. Our analysis primarily focuses on the dynamics of the two-body WEC using a weakly nonlinear three-dimensional potential flow solver. The considered device comprises two interconnected floating barges, incorporating a power take-off system at the hinged connection point. This investigation involves the use of equivalent linear damping to model the power take-off (PTO) system. To validate the numerical simulations, we conduct physical model experiments with WECs. Additionally, the coupling of the raft-type WEC’s dynamics and its mooring dynamics was examined, highlighting the performance differences between various mooring systems through a comparative analysis.

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CFD study of a moored floating cylinder: Comparison with experimental data

Cited by 4 publications

References 3 publications

High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks

High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks

Offshore Measurements and Numerical Validation of the Mooring Forces on a 1:5 Scale Buoy

Performance of a Raft-Type Wave Energy Converter with Diverse Mooring Configurations

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