IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v252y2025ics0960148125010924.html
   My bibliography  Save this article

Tidal energy resource assessment in the Strait of Magellan in the Chilean Patagonia

Author

Listed:
  • Suarez, Leandro
  • Guerra, Maricarmen
  • Williams, Megan E.
  • Escauriaza, Cristián

Abstract

The tidal energy sector is advancing rapidly, with multiple projects demonstrating the reliability of devices to generate clean electricity. As technology converges and matures, detailed tidal resource characterization is essential for identifying and assessing viable deployment sites. This investigation examines the tidal energy potential in the Strait of Magellan, a key connection between the Pacific and Atlantic Oceans in the Chilean Patagonia known for its strong tidal currents. A high-resolution, unstructured-mesh numerical model calibrated with field data from Acoustic Doppler Current Profilers (ADCP) and tidal gauges at the two main narrows of the Strait is implemented. The model is used to estimate power densities and assess energy yields under various turbine-rated velocities and operational scenarios. Results indicate sustained power densities exceeding 1 kW/m2 over a 67 km2 area throughout a lunar month, with localized peaks reaching 10 kW/m2 during spring tide. Energy yield simulations using synthetic power curves suggest promising sites for first and second generation tidal turbines. This study offers the first high-resolution model of tidal resources in the Strait of Magellan, highlighting its potential as a leading site for tidal energy generation in the southern hemisphere.

Suggested Citation

  • Suarez, Leandro & Guerra, Maricarmen & Williams, Megan E. & Escauriaza, Cristián, 2025. "Tidal energy resource assessment in the Strait of Magellan in the Chilean Patagonia," Renewable Energy, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:renene:v:252:y:2025:i:c:s0960148125010924
    DOI: 10.1016/j.renene.2025.123430
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125010924
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.123430?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:252:y:2025:i:c:s0960148125010924. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.