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Tidal-stream energy resource characterization for the Gulf of California, México

Tidal-stream energy resource characterization for the Gulf of California, México
Tidal-stream energy resource characterization for the Gulf of California, México
There has been a growing interest in tidal-stream energy, with most past studies focusing on assessing the potential resource of sites with fast tidal currents in relatively shallow water. Regions with less energetic tidal currents, but in deeper waters, have been overlooked. One potential tidal-stream energy region, which fits this categorization, is the Gulf of California. In this paper we quantify the theoretical tidal-stream energy resource in this region. The resource is estimated with an unstructured depth-averaged hydrodynamic model. We find that the highest flow speeds of 2.4 m/s occur in the channel between San Lorenzo and San Esteban Island, and three lower-velocity potential sites are identified in the channels between: (1) Baja California Peninsula and San Lorenzo Island; (2) San Esteban and Tiburon Islands and (3) Baja California Peninsula and Angel de la Guarda Island. Although peak kinetic power density in these regions is found to be relatively low (∼ 3 to 6 kW/m2), the large water depth (100 to 500 m), results in an undisturbed theoretical annual mean power of between 100 to 200 MW. We therefore find the tidal energy resource to be large, but new turbine technologies would be required to exploit these ‘next generation’ resource regions.
0360-5442
481-191
Mejia Olivares, Carlos, Joel
cbd328cb-4742-42fe-8f6e-bb60f04da38e
Haigh, Ivan
945ff20a-589c-47b7-b06f-61804367eb2d
Wells, Neil
4c27167c-f972-4822-9614-d6ca8d8223b5
Coles, Daniel
58e46bef-2a32-4b6e-b78b-7efede2a93ab
Lewis, Matthew
c9a3dc8b-53c8-4407-a8ba-d77f729b956c
Neill, Simon P.
93fea49b-21f9-4202-9908-d4fcd815c544
Mejia Olivares, Carlos, Joel
cbd328cb-4742-42fe-8f6e-bb60f04da38e
Haigh, Ivan
945ff20a-589c-47b7-b06f-61804367eb2d
Wells, Neil
4c27167c-f972-4822-9614-d6ca8d8223b5
Coles, Daniel
58e46bef-2a32-4b6e-b78b-7efede2a93ab
Lewis, Matthew
c9a3dc8b-53c8-4407-a8ba-d77f729b956c
Neill, Simon P.
93fea49b-21f9-4202-9908-d4fcd815c544

Mejia Olivares, Carlos, Joel, Haigh, Ivan, Wells, Neil, Coles, Daniel, Lewis, Matthew and Neill, Simon P. (2018) Tidal-stream energy resource characterization for the Gulf of California, México. Energy, 156, 481-191. (doi:10.1016/j.energy.2018.04.074).

Record type: Article

Abstract

There has been a growing interest in tidal-stream energy, with most past studies focusing on assessing the potential resource of sites with fast tidal currents in relatively shallow water. Regions with less energetic tidal currents, but in deeper waters, have been overlooked. One potential tidal-stream energy region, which fits this categorization, is the Gulf of California. In this paper we quantify the theoretical tidal-stream energy resource in this region. The resource is estimated with an unstructured depth-averaged hydrodynamic model. We find that the highest flow speeds of 2.4 m/s occur in the channel between San Lorenzo and San Esteban Island, and three lower-velocity potential sites are identified in the channels between: (1) Baja California Peninsula and San Lorenzo Island; (2) San Esteban and Tiburon Islands and (3) Baja California Peninsula and Angel de la Guarda Island. Although peak kinetic power density in these regions is found to be relatively low (∼ 3 to 6 kW/m2), the large water depth (100 to 500 m), results in an undisturbed theoretical annual mean power of between 100 to 200 MW. We therefore find the tidal energy resource to be large, but new turbine technologies would be required to exploit these ‘next generation’ resource regions.

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Accepted/In Press date: 13 April 2018
Published date: 20 April 2018

Identifiers

Local EPrints ID: 420079
URI: http://eprints.soton.ac.uk/id/eprint/420079
ISSN: 0360-5442
PURE UUID: d2c57d0c-fa6c-4e2f-87a2-02b41f4e8d01
ORCID for Ivan Haigh: ORCID iD orcid.org/0000-0002-9722-3061

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Date deposited: 26 Apr 2018 16:30
Last modified: 16 Mar 2024 03:51

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Contributors

Author: Carlos, Joel Mejia Olivares
Author: Ivan Haigh ORCID iD
Author: Neil Wells
Author: Daniel Coles
Author: Matthew Lewis
Author: Simon P. Neill

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