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National geodatabase of tidal stream power resource in USA

Author

Listed:
  • Defne, Zafer
  • Haas, Kevin A.
  • Fritz, Hermann M.
  • Jiang, Lide
  • French, Steven P.
  • Shi, Xuan
  • Smith, Brennan T.
  • Neary, Vincent S.
  • Stewart, Kevin M.

Abstract

A geodatabase of tidal constituents is developed to present the regional assessment of tidal stream power resource in the USA. Tidal currents are numerically modeled with the Regional Ocean Modeling System (ROMS) and calibrated with the available measurements of tidal current speeds and water level surfaces. The performance of the numerical model in predicting the tidal currents and water levels is assessed by an independent validation. The geodatabase is published on a public domain via a spatial database engine with interactive tools to select, query and download the data. Regions with the maximum average kinetic power density exceeding 500W/m2 (corresponding to a current speed of ∼1m/s), total surface area larger than 0.5km2 and depth greater than 5m are defined as hotspots and documented. The regional assessment indicates that the state of Alaska (AK) has the largest number of locations with considerably high kinetic power density, followed by, Maine (ME), Washington (WA), Oregon (OR), California (CA), New Hampshire (NH), Massachusetts (MA), New York (NY), New Jersey (NJ), North and South Carolina (NC, SC), Georgia (GA), and Florida (FL).

Suggested Citation

  • Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M. & Jiang, Lide & French, Steven P. & Shi, Xuan & Smith, Brennan T. & Neary, Vincent S. & Stewart, Kevin M., 2012. "National geodatabase of tidal stream power resource in USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3326-3338.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:5:p:3326-3338
    DOI: 10.1016/j.rser.2012.02.061
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    References listed on IDEAS

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    1. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "Numerical modeling of tidal currents and the effects of power extraction on estuarine hydrodynamics along the Georgia coast, USA," Renewable Energy, Elsevier, vol. 36(12), pages 3461-3471.
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    6. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "GIS based multi-criteria assessment of tidal stream power potential: A case study for Georgia, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2310-2321, June.
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    2. Gunawan, Budi & Neary, Vincent S. & Colby, Jonathan, 2014. "Tidal energy site resource assessment in the East River tidal strait, near Roosevelt Island, New York, New York," Renewable Energy, Elsevier, vol. 71(C), pages 509-517.
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    4. Cowles, Geoffrey W. & Hakim, Aradea R. & Churchill, James H., 2017. "A comparison of numerical and analytical predictions of the tidal stream power resource of Massachusetts, USA," Renewable Energy, Elsevier, vol. 114(PA), pages 215-228.
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    6. Chen, Shuo & Jiang, Boxi & Li, Xiaofan & Huang, Jianuo & Wu, Xian & Xiong, Qiuchi & Parker, Robert G. & Zuo, Lei, 2022. "Design, dynamic modeling and wave basin verification of a Hybrid Wave–Current Energy Converter," Applied Energy, Elsevier, vol. 321(C).
    7. Yang, Xiufeng & Haas, Kevin A. & Fritz, Hermann M. & French, Steven P. & Shi, Xuan & Neary, Vincent S. & Gunawan, Budi, 2015. "National geodatabase of ocean current power resource in USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 496-507.
    8. Liu, Xiaodong & Chen, Zheng & Si, Yulin & Qian, Peng & Wu, He & Cui, Lin & Zhang, Dahai, 2021. "A review of tidal current energy resource assessment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    9. Yang, Zhaoqing & Wang, Taiping & Branch, Ruth & Xiao, Ziyu & Deb, Mithun, 2021. "Tidal stream energy resource characterization in the Salish Sea," Renewable Energy, Elsevier, vol. 172(C), pages 188-208.
    10. Marta-Almeida, Martinho & Cirano, Mauro & Guedes Soares, Carlos & Lessa, Guilherme C., 2017. "A numerical tidal stream energy assessment study for Baía de Todos os Santos, Brazil," Renewable Energy, Elsevier, vol. 107(C), pages 271-287.
    11. Guillou, Nicolas & Neill, Simon P. & Robins, Peter E., 2018. "Characterising the tidal stream power resource around France using a high-resolution harmonic database," Renewable Energy, Elsevier, vol. 123(C), pages 706-718.
    12. Xu, Tongtong & Haas, Kevin A. & Gunawan, Budi, 2023. "Estimating annual energy production from short tidal current records," Renewable Energy, Elsevier, vol. 207(C), pages 105-115.
    13. Deng, Guizhong & Zhang, Zhaoru & Li, Ye & Liu, Hailong & Xu, Wentao & Pan, Yulin, 2020. "Prospective of development of large-scale tidal current turbine array: An example numerical investigation of Zhejiang, China," Applied Energy, Elsevier, vol. 264(C).
    14. Tang, H.S. & Kraatz, S. & Qu, K. & Chen, G.Q. & Aboobaker, N. & Jiang, C.B., 2014. "High-resolution survey of tidal energy towards power generation and influence of sea-level-rise: A case study at coast of New Jersey, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 960-982.
    15. Fairley, I. & Masters, I. & Karunarathna, H., 2015. "The cumulative impact of tidal stream turbine arrays on sediment transport in the Pentland Firth," Renewable Energy, Elsevier, vol. 80(C), pages 755-769.
    16. Deb, Mithun & Yang, Zhaoqing & Wang, Taiping & Kilcher, Levi, 2023. "Turbulence modeling to aid tidal energy resource characterization in the Western Passage, Maine, USA," Renewable Energy, Elsevier, vol. 219(P1).

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