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Effect of Spatial and Temporal Resolution Data on Design and Power Capture of a Heaving Point Absorber

Author

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  • Tunde Aderinto

    (Sustainable Energy Systems Engineering, Texas A&M University-Kingsville, Kingsville, TX 78363, USA)

  • Hua Li

    (Mechanical and Industrial Engineering Department, Texas A&M University-Kingsville, Kingsville, TX 78363, USA)

Abstract

For a heaving point absorber to perform optimally, it has to be designed to resonate to the prevailing ocean wave period. Hence, it is important to make the ocean wave data analysis to be as accurate as possible. In this study, existing wave condition data is used to investigate the effect of the temporal resolution (daily vs. hourly) of wave data on the design of the device and power capture. The temporal resolution effect on the estimation of ocean wave resource theoretical potential is also investigated. Results show that the temporal resolution variation of the ocean wave data affects the design of the device and its power capture, but the theoretical power resource assessment is not significantly affected. The device designed for the Gulf of Mexico is also analyzed with wave condition in Oregon, which has about 40 times the wave resource theoretical potential compared to the Gulf of Mexico. The results confirmed that a device should be designed for a specific location as the device performed better in the Gulf of Mexico, which has much less ocean wave resource theoretical potential. At last, the effect of the design, diameter and season (summer and winter) on the power output of the device is also investigated using statistical hypothesis testing methods. The results show that the power capture of a device is significantly affected by these parameters.

Suggested Citation

  • Tunde Aderinto & Hua Li, 2020. "Effect of Spatial and Temporal Resolution Data on Design and Power Capture of a Heaving Point Absorber," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9532-:d:445861
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    References listed on IDEAS

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    1. Jinming Wu & Yingxue Yao & Liang Zhou & Malin Göteman, 2017. "Latching and Declutching Control of the Solo Duck Wave-Energy Converter with Different Load Types," Energies, MDPI, vol. 10(12), pages 1-18, December.
    2. Babarit, A., 2015. "A database of capture width ratio of wave energy converters," Renewable Energy, Elsevier, vol. 80(C), pages 610-628.
    3. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    4. Liang, Bingchen & Shao, Zhuxiao & Wu, Guoxiang & Shao, Meng & Sun, Jinwei, 2017. "New equations of wave energy assessment accounting for the water depth," Applied Energy, Elsevier, vol. 188(C), pages 130-139.
    5. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.
    6. Allahdadi, M. Nabi & Gunawan, Budi & Lai, Jonathan & He, Ruoying & Neary, Vincent S., 2019. "Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast," Renewable Energy, Elsevier, vol. 136(C), pages 500-511.
    7. Haces-Fernandez, Francisco & Li, Hua & Ramirez, David, 2018. "Wave energy characterization and assessment in the U.S. Gulf of Mexico, East and West Coasts with Energy Event concept," Renewable Energy, Elsevier, vol. 123(C), pages 312-322.
    8. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    9. 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.
    10. Elwood, David & Yim, Solomon C. & Prudell, Joe & Stillinger, Chad & von Jouanne, Annette & Brekken, Ted & Brown, Adam & Paasch, Robert, 2010. "Design, construction, and ocean testing of a taut-moored dual-body wave energy converter with a linear generator power take-off," Renewable Energy, Elsevier, vol. 35(2), pages 348-354.
    11. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2019. "Wave energy resource classification system for US coastal waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 54-68.
    12. 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.
    13. 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.
    14. 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.
    15. Shadman, Milad & Estefen, Segen F. & Rodriguez, Claudio A. & Nogueira, Izabel C.M., 2018. "A geometrical optimization method applied to a heaving point absorber wave energy converter," Renewable Energy, Elsevier, vol. 115(C), pages 533-546.
    16. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    17. Lehmann, Marcus & Karimpour, Farid & Goudey, Clifford A. & Jacobson, Paul T. & Alam, Mohammad-Reza, 2017. "Ocean wave energy in the United States: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1300-1313.
    18. Dallman, Ann & Jenne, Dale S. & Neary, Vincent & Driscoll, Frederick & Thresher, Robert & Gunawan, Budi, 2018. "Evaluation of performance metrics for the Wave Energy Prize converters tested at 1/20th scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 79-91.
    19. Li, Guang & Belmont, Michael R., 2014. "Model predictive control of sea wave energy converters – Part I: A convex approach for the case of a single device," Renewable Energy, Elsevier, vol. 69(C), pages 453-463.
    20. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
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