nerc.ac.uk

Three-dimensional modelling of suspended sediment transport in the far wake of tidal stream turbines

Li, Xiaorong; Li, Ming; Amoudry, Laurent O.; Ramirez-Mendoza, Rafael; Thorne, Peter D. ORCID: https://orcid.org/0000-0002-4261-0937; Song, Qingyang; Zheng, Peng; Simmons, Stephen M.; Jordan, Laura-Beth; McLelland, Stuart J.. 2020 Three-dimensional modelling of suspended sediment transport in the far wake of tidal stream turbines. Renewable Energy, 151. 956-965. https://doi.org/10.1016/j.renene.2019.11.096

Before downloading, please read NORA policies.
[img]
Preview
Text
1-s2.0-S0960148119317896-main.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview

Abstract/Summary

A three-dimensional tidal turbine simulation based on an oceanographic numerical model has been tested for suspended sediment calculation, particularly in the wake of a standalone tidal turbine. The results suggest a need for further improvement of the model in order to obtain correct predictions of suspension strength of the wake and suspended sediment concentration under the influence of a turbine (compared to measured data). Due to the wide use of FVCOM in coastal applications where turbines are commonly installed, it proves necessary to address this issue. Two approaches with respect to modifying bed shear stress and turbulent mixing calculations in the presence of a turbine are proposed and tested in this research. Using data collected in the laboratory as reference, the turbulent mixing enhancement approach is shown to be effective. A series of tests are carried out to identify the impact of the turbine on suspended sediment transport in its vicinity. The results suggest that the impact is highly dependent upon the sediment grain size.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/j.renene.2019.11.096
ISSN: 09601481
Date made live: 10 Dec 2019 08:33 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/526133

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...