National geodatabase of tidal stream power resource in USA

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

    Research output: Contribution to journalReview articlepeer-review

    45 Scopus citations

    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 500 W/m 2 (corresponding to a current speed of ∼1 m/s), total surface area larger than 0.5 km 2 and depth greater than 5 m 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).

    Original languageEnglish
    Pages (from-to)3326-3338
    Number of pages13
    JournalRenewable and Sustainable Energy Reviews
    Volume16
    Issue number5
    DOIs
    StatePublished - Jun 2012

    Funding

    This study was supported by the Department of Energy, Wind and Hydropower Technologies Program award number DE-FG36-08GO18174. Any opinions, findings, and conclusions or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views of the Department of Energy.

    Keywords

    • GIS
    • Numerical modeling
    • Resource mapping
    • Tidal currents
    • Tidal energy

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