Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development
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 C...
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Online Access: | http://www.mdpi.com/1996-1073/8/6/5997 |
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doaj-1f13f232e5ff43829ce8e27f942c1e522020-11-24T21:40:21ZengMDPI AGEnergies1996-10732015-06-01865997601210.3390/en8065997en8065997Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy DevelopmentEnayatollah Zangiabadi0Matt Edmunds1Iain A. Fairley2Michael Togneri3Alison J. Williams4Ian Masters5Nick Croft6Marine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UKMarine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UKMarine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UKMarine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UKMarine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UKMarine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UKMarine Energy Research Group, Swansea University, Singleton Park, Swansea SA2 8PP, UKFlow 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.http://www.mdpi.com/1996-1073/8/6/5997renewable energytidal stream turbinereal bathymetryturbulence |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Enayatollah Zangiabadi Matt Edmunds Iain A. Fairley Michael Togneri Alison J. Williams Ian Masters Nick Croft |
spellingShingle |
Enayatollah Zangiabadi Matt Edmunds Iain A. Fairley Michael Togneri Alison J. Williams Ian Masters Nick Croft Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development Energies renewable energy tidal stream turbine real bathymetry turbulence |
author_facet |
Enayatollah Zangiabadi Matt Edmunds Iain A. Fairley Michael Togneri Alison J. Williams Ian Masters Nick Croft |
author_sort |
Enayatollah Zangiabadi |
title |
Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development |
title_short |
Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development |
title_full |
Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development |
title_fullStr |
Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development |
title_full_unstemmed |
Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development |
title_sort |
computational fluid dynamics and visualisation of coastal flows in tidal channels supporting ocean energy development |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2015-06-01 |
description |
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. |
topic |
renewable energy tidal stream turbine real bathymetry turbulence |
url |
http://www.mdpi.com/1996-1073/8/6/5997 |
work_keys_str_mv |
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