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Numerical modeling of the effects of wave energy converter characteristics on nearshore wave conditions

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  • Chang, G.
  • Ruehl, K.
  • Jones, C.A.
  • Roberts, J.
  • Chartrand, C.

Abstract

Modeled nearshore wave propagation was investigated downstream of simulated wave energy converters (WECs) to evaluate overall near- and far-field effects of WEC arrays. Model sensitivity to WEC characteristics and WEC array deployment scenarios was evaluated using a modified version of an industry standard wave model, Simulating WAves Nearshore (SWAN), which allows the incorporation of device-specific WEC characteristics to specify obstacle transmission. The sensitivity study illustrated that WEC device type and subsequently its size directly resulted in wave height variations in the lee of the WEC array. Wave heights decreased up to 30% between modeled scenarios with and without WECs for large arrays (100 devices) of relatively sizable devices (26 m in diameter) with peak power generation near to the modeled incident wave height. Other WEC types resulted in less than 15% differences in modeled wave height with and without WECs, with lesser influence for WECs less than 10 m in diameter. Wave directions and periods were largely insensitive to changes in parameters. However, additional model parameterization and analysis are required to fully explore the model sensitivity of peak wave period and mean wave direction to the varying of the parameters.

Suggested Citation

  • Chang, G. & Ruehl, K. & Jones, C.A. & Roberts, J. & Chartrand, C., 2016. "Numerical modeling of the effects of wave energy converter characteristics on nearshore wave conditions," Renewable Energy, Elsevier, vol. 89(C), pages 636-648.
  • Handle: RePEc:eee:renene:v:89:y:2016:i:c:p:636-648
    DOI: 10.1016/j.renene.2015.12.048
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    References listed on IDEAS

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    Cited by:

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    3. Gael Verao Fernández & Vasiliki Stratigaki & Peter Troch, 2019. "Irregular Wave Validation of a Coupling Methodology for Numerical Modelling of Near and Far Field Effects of Wave Energy Converter Arrays," Energies, MDPI, vol. 12(3), pages 1-19, February.
    4. Roche, R.C. & Walker-Springett, K. & Robins, P.E. & Jones, J. & Veneruso, G. & Whitton, T.A. & Piano, M. & Ward, S.L. & Duce, C.E. & Waggitt, J.J. & Walker-Springett, G.R. & Neill, S.P. & Lewis, M.J. , 2016. "Research priorities for assessing potential impacts of emerging marine renewable energy technologies: Insights from developments in Wales (UK)," Renewable Energy, Elsevier, vol. 99(C), pages 1327-1341.
    5. Aristodemo, Francesco & Algieri Ferraro, Danilo, 2018. "Feasibility of WEC installations for domestic and public electrical supplies: A case study off the Calabrian coast," Renewable Energy, Elsevier, vol. 121(C), pages 261-285.
    6. J. Cameron McNatt & Aaron Porter & Christopher Chartrand & Jesse Roberts, 2020. "The Performance of a Spectral Wave Model at Predicting Wave Farm Impacts," Energies, MDPI, vol. 13(21), pages 1-17, November.
    7. López-Ruiz, Alejandro & Bergillos, Rafael J. & Lira-Loarca, Andrea & Ortega-Sánchez, Miguel, 2018. "A methodology for the long-term simulation and uncertainty analysis of the operational lifetime performance of wave energy converter arrays," Energy, Elsevier, vol. 153(C), pages 126-135.
    8. Mehrdad Moradi & Narimene Chertouk & Adrian Ilinca, 2022. "Modelling of a Wave Energy Converter Impact on Coastal Erosion, a Case Study for Palm Beach-Azur, Algeria," Sustainability, MDPI, vol. 14(24), pages 1-12, December.
    9. Louise O’Boyle & Björn Elsäßer & Trevor Whittaker, 2017. "Experimental Measurement of Wave Field Variations around Wave Energy Converter Arrays," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    10. Flocard, Francois & Ierodiaconou, Daniel & Coghlan, Ian R., 2016. "Multi-criteria evaluation of wave energy projects on the south-east Australian coast," Renewable Energy, Elsevier, vol. 99(C), pages 80-94.
    11. David, Daniel R. & Rijnsdorp, Dirk P. & Hansen, Jeff E. & Lowe, Ryan J. & Buckley, Mark L., 2022. "Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models," Renewable Energy, Elsevier, vol. 183(C), pages 764-780.
    12. Yang, Zhaoqing & Neary, Vincent S. & Wang, Taiping & Gunawan, Budi & Dallman, Annie R. & Wu, Wei-Cheng, 2017. "A wave model test bed study for wave energy resource characterization," Renewable Energy, Elsevier, vol. 114(PA), pages 132-144.
    13. Stratigaki, Vasiliki & Troch, Peter & Forehand, David, 2019. "A fundamental coupling methodology for modeling near-field and far-field wave effects of floating structures and wave energy devices," Renewable Energy, Elsevier, vol. 143(C), pages 1608-1627.
    14. Chang, Grace & Jones, Craig A. & Roberts, Jesse D. & Neary, Vincent S., 2018. "A comprehensive evaluation of factors affecting the levelized cost of wave energy conversion projects," Renewable Energy, Elsevier, vol. 127(C), pages 344-354.
    15. Craig Jones & Grace Chang & Kaustubha Raghukumar & Samuel McWilliams & Ann Dallman & Jesse Roberts, 2018. "Spatial Environmental Assessment Tool (SEAT): A Modeling Tool to Evaluate Potential Environmental Risks Associated with Wave Energy Converter Deployments," Energies, MDPI, vol. 11(8), pages 1-19, August.
    16. Christopher Stokes & Daniel C. Conley, 2018. "Modelling Offshore Wave farms for Coastal Process Impact Assessment: Waves, Beach Morphology, and Water Users," Energies, MDPI, vol. 11(10), pages 1-26, September.

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