Next Article in Journal
Congestion Control Algorithm in Distribution Feeders: Integration in a Distribution Management System
Next Article in Special Issue
Enhancing Wave Energy Competitiveness through Co-Located Wind and Wave Energy Farms. A Review on the Shadow Effect
Previous Article in Journal
Evaluation of a Blade Force Measurement System for a Vertical Axis Wind Turbine Using Load Cells
Previous Article in Special Issue
Nearshore Tests of the Tidal Compensation System for Point-Absorbing Wave Energy Converters
Article Menu

Export Article

Open AccessArticle
Energies 2015, 8(6), 5997-6012; doi:10.3390/en8065997

Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development

Marine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UK
*
Author to whom correspondence should be addressed.
Academic Editor: John Ringwood
Received: 31 March 2015 / Revised: 20 May 2015 / Accepted: 9 June 2015 / Published: 18 June 2015
(This article belongs to the Special Issue Tools and Techniques for Economic Delivery of Ocean Energy)
View Full-Text   |   Download PDF [5425 KB, uploaded 18 June 2015]   |  

Abstract

Flow characteristics in coastal regions are strongly influenced by the topography of the seabed and understanding the fluid dynamics is necessary before installation of tidal stream turbines (TST). In this paper, the bathymetry of a potential TST deployment site is used in the development of the a CFD (Computational Fluid Dynamics) model. The steady state k-ϵ and transient Large Eddy Simulation (LES) turbulence methods are employed and compared. The simulations are conducted with a fixed representation of the ocean surface, i.e., a rigid lid representation. In the vicinity of Horse Rock a study of the pressure difference shows that the small change in height of the water column is negligible, providing confidence in the simulation results. The stream surface method employed to visualise the results has important inherent characteristics that can enhance the visual perception of complex flow structures. The results of all cases are compared with the flow data transect gathered by an Acoustic Doppler Current Profiler (ADCP). It has been understood that the k-ϵ method can predict the flow pattern relatively well near the main features of the domain and the LES model has the ability to simulate some important flow patterns caused by the bathymetry. View Full-Text
Keywords: renewable energy; tidal stream turbine; real bathymetry; turbulence renewable energy; tidal stream turbine; real bathymetry; turbulence
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zangiabadi, E.; Edmunds, M.; Fairley, I.A.; Togneri, M.; Williams, A.J.; Masters, I.; Croft, N. Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development. Energies 2015, 8, 5997-6012.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top