Resource assessment for future generations of tidal-stream energy arrays

Lewis, M. and Neill, S.P. and Robins, P.E. and Hashemi, M.R. (2015) Resource assessment for future generations of tidal-stream energy arrays. Energy, 83. pp. 403-415. DOI: 10.1016/j.energy.2015.02.038

32174..pdf - Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview


Tidal-stream energy devices currently require spring tide velocities (SV) in excess of 2.5 m/s and water depths in the range 25�50 m. The tidal-stream energy resource of the Irish Sea, a key strategic region for development, was analysed using a 3D hydrodynamic model assuming existing, and potential future technology. Three computational grid resolutions and two boundary forcing products were used within model configuration, each being extensively validated. A limited resource (annual mean of 4 TJ within a 90 km2 extent) was calculated assuming current turbine technology, with limited scope for long-term sustainability of the industry. Analysis revealed that the resource could increase seven fold if technology were developed to efficiently harvest tidal-streams 20% lower than currently required (SV > 2 m/s) and be deployed in any water depths greater than 25 m. Moreover, there is considerable misalignment between the flood and ebb current directions, which may reduce the practical resource. An average error within the assumption of rectilinear flow was calculated to be 20°, but this error reduced to �3° if lower velocity or deeper water sites were included. We found resource estimation is sensitive to hydrodynamic model resolution, and finer spatial resolution (<500 m) is required for regional-scale resource assessment when considering future tidal-stream energy strategies.

Item Type: Article
Subjects: Research Publications
Departments: College of Natural Sciences > School of Ocean Sciences
Date Deposited: 30 May 2015 02:36
Last Modified: 23 Sep 2015 02:48
ISSN: 0360-5442
URI: http://e.bangor.ac.uk/id/eprint/4613
Identification Number: DOI: 10.1016/j.energy.2015.02.038
Publisher: Elsevier
Administer Item Administer Item

eBangor is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.