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An assessment of available ocean current hydrokinetic energy near the North Carolina shore

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  • Kabir, Asif
  • Lemongo-Tchamba, Ivan
  • Fernandez, Arturo

Abstract

Ocean currents have the potential to supply electricity from a renewable source to coastal regions. The assessment of the potential energy that could be generated is the first step towards developing this resource. Data from the Hybrid Coordinate Ocean Model (HYCOM) and high-frequency radar measurements have been used to assess an area extending from 34.85° N to 35.15°N, and from 74.85°W to 74.5°W near the North Carolina shore. The assessment shows the area to exhibit a power density of at least 500 W/m2 in over 50% of the days and 1000 W/m2 or higher one third of the studied period. The results also show the direction of the ocean velocity to be very uniform in the northeast direction, which would facilitate a future exploitation of the resource. In addition, statistical analysis applying Weibull, Rayleigh, and Gaussian distributions is also presented. It is shown that the use of a Weibull probability distribution facilitates the analysis of ocean velocity conditions and is also able to predict the power density with a high degree of accuracy.

Suggested Citation

  • Kabir, Asif & Lemongo-Tchamba, Ivan & Fernandez, Arturo, 2015. "An assessment of available ocean current hydrokinetic energy near the North Carolina shore," Renewable Energy, Elsevier, vol. 80(C), pages 301-307.
    • Handle: RePEc:eee:renene:v:80:y:2015:i:c:p:301-307
    DOI: 10.1016/j.renene.2015.02.011
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    References listed on IDEAS

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    1. Chen, Falin, 2010. "Kuroshio power plant development plan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2655-2668, December.
    2. Lun, Isaac Y.F & Lam, Joseph C, 2000. "A study of Weibull parameters using long-term wind observations," Renewable Energy, Elsevier, vol. 20(2), pages 145-153.
    3. Safari, Bonfils & Gasore, Jimmy, 2010. "A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda," Renewable Energy, Elsevier, vol. 35(12), pages 2874-2880.
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    1. Juan F. Bárcenas Graniel & Jassiel V. H. Fontes & Hector F. Gomez Garcia & Rodolfo Silva, 2021. "Assessing Hydrokinetic Energy in the Mexican Caribbean: A Case Study in the Cozumel Channel," Energies, MDPI, vol. 14(15), pages 1-23, July.
    2. de Faria, Victor A.D. & de Queiroz, Anderson R. & DeCarolis, Joseph F., 2022. "Optimizing offshore renewable portfolios under resource variability," Applied Energy, Elsevier, vol. 326(C).
    3. Roger Samsó & Júlia Crespin & Antonio García-Olivares & Jordi Solé, 2023. "Examining the Potential of Marine Renewable Energy: A Net Energy Perspective," Sustainability, MDPI, vol. 15(10), pages 1-35, May.
    4. Li, Binghui & de Queiroz, Anderson Rodrigo & DeCarolis, Joseph F. & Bane, John & He, Ruoying & Keeler, Andrew G. & Neary, Vincent S., 2017. "The economics of electricity generation from Gulf Stream currents," Energy, Elsevier, vol. 134(C), pages 649-658.
    5. Li, Zhenyu & Siddiqi, Afreen & Anadon, Laura Diaz & Narayanamurti, Venkatesh, 2018. "Towards sustainability in water-energy nexus: Ocean energy for seawater desalination," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3833-3847.
    6. Campisi-Pinto, Salvatore & Gianchandani, Kaushal & Ashkenazy, Yosef, 2020. "Statistical tests for the distribution of surface wind and current speeds across the globe," Renewable Energy, Elsevier, vol. 149(C), pages 861-876.

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