A Comparison Study of a Generic Coupling Methodology for Modeling Wake Effects of Wave Energy Converter Arrays

Verbrugghe, Tim; Stratigaki, Vicky; Troch, Peter; Rabussier, Raphael; Kortenhaus, Andreas

doi:10.3390/en10111697

Cited by 23 publications

(31 citation statements)

References 28 publications

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“…Several commercial (Lee, 1995;AQWA, 2013) and open-source BEM software packages (Babarit and Delhommeau, 2015) exist. BEM software has also been coupled to wave propagation models such as MILDwave or OceanWave3D to study the perturbed wave field in a larger ocean area with varying bathymetry (Verbrugghe et al, 2017;Verao Fernández et al, 2018, 2019 and are further developed and used extensively to model the hydrodynamical interaction in wave energy parks (Sinha et al, 2016;Ruiz et al, 2017;Tay and Venugopal, 2017;Bosma et al, 2019;Lyu et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…Efforts to couple accurate hydrodynamic modeling close to the WEC with wave propagation models a distance away from the WEC have been made both for potential flow (McNatt et al, 2015;Verbrugghe et al, 2017;Verao Fernández et al, 2018, 2019 and CFD models (Paulsen et al, 2014;Verbrugghe et al, 2018). Comparison of the predicted wave height from a coupled MILDwave-NEMOH model with experimental data was presented by Verao Fernández et al (2019) (see Figure 8).…”

Section: Long-term and Large Domain Wave Propagationmentioning

confidence: 99%

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Advances and Challenges in Wave Energy Park Optimization—A Review

et al. 2020

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A commercial wave energy system will typically consist of many interacting wave energy converters installed in a park. The performance of the park depends on many parameters such as array layout and number of devices, and may be evaluated based on different measures such as energy absorption, electricity quality, or cost of the produced electricity. As wave energy is currently at the stage where several large-scale installations are being planned, optimizing the park performance is an active research area, with many important contributions in the past few years. Here, this research is reviewed, with a focus on identifying the current state of the art, analyzing how realistic, reliable, and relevant the methods and the results are, and outlining directions for future research.

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Section: Methodsmentioning

confidence: 99%

Section: Long-term and Large Domain Wave Propagationmentioning

confidence: 99%

Advances and Challenges in Wave Energy Park Optimization—A Review

et al. 2020

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“…The superposition of the reflected, diffracted and radiated wave fields results in a perturbed wave field. The perturbed wave field close to the WECs of the farm caused both by WEC-WEC and wave-WEC interactions is often referred to in literature as the "'near field" effects while the propagation of this perturbed wave field at a larger distance from the WEC farm e.g., in the coastal zone, is referred to as the "far field" effects [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Irregular Wave Validation of a Coupling Methodology for Numerical Modelling of Near and Far Field Effects of Wave Energy Converter Arrays

2019

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Between the Wave Energy Converters (WECs) of a farm, hydrodynamic interactions occur and have an impact on the surrounding wave field, both close to the WECs (“near field” effects) and at large distances from their location (“far field” effects). To simulate this “far field” impact in a fast and accurate way, a generic coupling methodology between hydrodynamic models has been developed by the Coastal Engineering Research Group of Ghent University in Belgium. This coupling methodology has been widely used for regular waves. However, it has not been developed yet for realistic irregular sea states. The objective of this paper is to present a validation of the novel coupling methodology for the test case of irregular waves, which is demonstrated here for coupling between the mild slope wave propagation model, MILDwave, and the ‘Boundary Element Method’-based wave–structure interaction solver, NEMOH. MILDwave is used to model WEC farm “far field” effects, while NEMOH is used to model “near field” effects. The results of the MILDwave-NEMOH coupled model are validated against numerical results from NEMOH, and against the WECwakes experimental data for a single WEC, and for WEC arrays of five and nine WECs. Root Mean Square Error (RMSE) between disturbance coefficient (Kd) values in the entire numerical domain ( R M S E K d , D ) are used for evaluating the performed validation. The R M S E K d , D between results from the MILDwave-NEMOH coupled model and NEMOH is lower than 2.0% for the performed test cases, and between the MILDwave-NEMOH coupled model and the WECwakes experimental data R M S E K d , D remains below 10%. Consequently, the efficiency is demonstrated of the coupling methodology validated here which is used to simulate WEC farm impact on the wave field under the action of irregular waves.

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“…Economically speaking, the marine areas have a significant role in the global financial mechanism. Besides the renewable energy extraction from waves [12][13][14][15][16][17][18][19][20][21][22], these areas are very competitive also as regards gross and passenger transportation.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of the Wind and Wave Dynamics along the European Coasts

Ganea

Mereuţă

Rusu

2019

JMSE

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The objective of this work is to analyze the wind and wave conditions along the coasts of the European seas. The emphasis is put on the mean and maximum values. The areas studied are characterized by intense maritime activities, including traffic, as well as various harbor and offshore operations. In the present study, 35 years of data coming from the European Centre for Medium-Range Weather Forecasts (ECMWF) were processed, corresponding to 40 different geographical locations. Thus, these 40 reference points are defined for some of the most relevant offshore locations in the coastal environments targeted. As regards the data considered in the analysis, two different sets were used. The first corresponds to the wave model, while the second to the atmospheric model, both operated by ECMWF. Finally, it can be concluded that the proposed work provides a global perspective related to the average and maximum wind and wave conditions and to a further extent on the climate dynamics along the coasts of the European seas.

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A Comparison Study of a Generic Coupling Methodology for Modeling Wake Effects of Wave Energy Converter Arrays

Cited by 23 publications

References 28 publications

Advances and Challenges in Wave Energy Park Optimization—A Review

Advances and Challenges in Wave Energy Park Optimization—A Review

Irregular Wave Validation of a Coupling Methodology for Numerical Modelling of Near and Far Field Effects of Wave Energy Converter Arrays

An Evaluation of the Wind and Wave Dynamics along the European Coasts

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