nerc.ac.uk

Modelling tidal stream turbines in a three-dimensional wave-current fully coupled oceanographic model

Li, Xiaorong; Li, Ming; McLelland, Stuart; Jordan, Laura-Beth; Amoudry, Laurent; Ramirez Mendoza, Rafael; Thorne, Peter ORCID: https://orcid.org/0000-0002-4261-0937. 2017 Modelling tidal stream turbines in a three-dimensional wave-current fully coupled oceanographic model. Renewable Energy, 114 (A). 297-307. https://doi.org/10.1016/j.renene.2017.02.033

Before downloading, please read NORA policies.
[img]
Preview
Text (Open Access paper)
1-s2.0-S0960148117301192-main.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview
[img] Text
Li_al_2017_RenEn_pip.pdf - Accepted Version
Restricted to NORA staff only

Download (1MB) | Request a copy

Abstract/Summary

A tidal turbine simulation system is developed based on a three-dimensional oceanographic numerical model. Both the current and turbulent controlling equations are modified to account for impact of tidal turbines on water velocity and turbulence generation and dissipation. High resolution mesh size at the turbine location is assigned in order to capture the details of hydrodynamics due to the turbine operation. The system is tested against comprehensive measurements in a water flume experiment and results of Computational Fluid Dynamics (CFD) simulations. The validation results suggest that the new modelling system is proven to be able to accurately simulate hydrodynamics with the presence of turbines. The developed turbine simulation system is then applied to a series of test cases in which a standalone turbine is deployed. Here, complete velocity profiles and mixing are realized that could not have been produced in a standard two-dimensional treatment. Of particular interest in these cases is an observed accelerated flow near the bed in the wake of the turbine, leading to enhanced bottom shear stress (∼2 N/m2 corresponding to the critical stress of a range of fine gravel and finer sediment particles).

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/j.renene.2017.02.033
ISSN: 09601481
Additional Keywords: Tidal stream energy; Three-dimensional; Oceanographic model
Date made live: 20 Feb 2017 16:17 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/516267

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...