Traditional turbulence methods and novel visualisation techniques for coastal flow model in order to deploy tidal stream turbines

Abstract

Characteristics of flow in the coastal regions are strongly influenced by the topography of the seabed and understanding of these features is necessary before installation of tidal stream turbines (TST). In this paper, the bathymetry of a potential TST deployment site is surveyed using an echosounder and the resulting data is used in the development of the geometric model. The steady state k-ɛ and transient Large Eddy Simulation (LES) turbulence methods are employed. The stream surface visualisation method employed has important inherent characteristics that can enhance the visual perception of complex flow structures [1]. In this method lighting and shading reinforce the perception of shape and depth, images or textures can be mapped to the surface primitives providing additional visual information, colour and transparency can be used to convey additional data attributes. The results of all cases are compared with the flow data transect gathered by Acoustic Doppler Current Profiler (ADCP). It has been understood that the k-ɛ method can predict the flow pattern with relatively good accuracy near the main features of the domain and the LES model has the ability to simulate some important flow patterns because of the bathymetry.