Wave Resource Characterization Using an Unstructured Grid Modeling Approach
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- Robertson, Bryson R.D. & Hiles, Clayton E. & Buckham, Bradley J., 2014. "Characterizing the near shore wave energy resource on the west coast of Vancouver Island, Canada," Renewable Energy, Elsevier, vol. 71(C), pages 665-678.
- Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2014. "Wave energy conditions in the western French coast," Renewable Energy, Elsevier, vol. 62(C), pages 155-163.
- Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
- Lenee-Bluhm, Pukha & Paasch, Robert & Özkan-Haller, H. Tuba, 2011. "Characterizing the wave energy resource of the US Pacific Northwest," Renewable Energy, Elsevier, vol. 36(8), pages 2106-2119.
- Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.
- Silva, Dina & Bento, A. Rute & Martinho, Paulo & Guedes Soares, C., 2015. "High resolution local wave energy modelling in the Iberian Peninsula," Energy, Elsevier, vol. 91(C), pages 1099-1112.
- 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.
- Robertson, Bryson & Bailey, Helen & Clancy, Dan & Ortiz, Juan & Buckham, Bradley, 2016. "Influence of wave resource assessment methodology on wave energy production estimates," Renewable Energy, Elsevier, vol. 86(C), pages 1145-1160.
- García-Medina, Gabriel & Özkan-Haller, H. Tuba & Ruggiero, Peter, 2014. "Wave resource assessment in Oregon and southwest Washington, USA," Renewable Energy, Elsevier, vol. 64(C), pages 203-214.
- Rute Bento, A. & Martinho, Paulo & Guedes Soares, C., 2015. "Numerical modelling of the wave energy in Galway Bay," Renewable Energy, Elsevier, vol. 78(C), pages 457-466.
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- Francisco Haces-Fernandez & Hua Li & David Ramirez, 2018. "Assessment of the Potential of Energy Extracted from Waves and Wind to Supply Offshore Oil Platforms Operating in the Gulf of Mexico," Energies, MDPI, vol. 11(5), pages 1-25, April.
- Seongho Ahn & Kevin A. Haas & Vincent S. Neary, 2020. "Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States," Energies, MDPI, vol. 13(12), pages 1-26, June.
- Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2020. "Wave energy resource characterization and assessment for coastal waters of the United States," Applied Energy, Elsevier, vol. 267(C).
- García Medina, Gabriel & Yang, Zhaoqing & Li, Ning & Cheung, Kwok Fai & Lutu-McMoore, Elinor, 2023. "Wave climate and energy resources in American Samoa from a 42-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 210(C), pages 604-617.
- Wu, Wei-Cheng & Wang, Taiping & Yang, Zhaoqing & García-Medina, Gabriel, 2020. "Development and validation of a high-resolution regional wave hindcast model for U.S. West Coast wave resource characterization," Renewable Energy, Elsevier, vol. 152(C), pages 736-753.
- Lokuliyana, R.L.K. & Folley, M. & Gunawardane, S.D.G.S.P. & Wickramanayake, P.N., 2020. "Sri Lankan wave energy resource assessment and characterisation based on IEC standards," Renewable Energy, Elsevier, vol. 162(C), pages 1255-1272.
- Ruth Branch & Gabriel García-Medina & Zhaoqing Yang & Taiping Wang & Fadia Ticona Rollano & Lucia Hosekova, 2021. "Modeling Sea Ice Effects for Wave Energy Resource Assessments," Energies, MDPI, vol. 14(12), pages 1-15, June.
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Keywords
unstructured grid model; wave energy; resource characterization; WaveWatch III; SWAN;All these keywords.
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