Research Portal
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Tidal Energy » Tidal Resource Characterization and Modelling
Going with the Flow II: Using Drifters to Address Uncertainties in the Spatial Variation of Tidal Flows
October 2017 – June 2018
Drifters are one of the oldest, simplest and most reliable methods for measuring ocean currents. Drifters also provide a simple, low risk platform from which to gather acoustic information along flow streamlines or ‘drift tracks’.
Tidal Energy » Tidal Resource Characterization and Modelling
Numerical Modeling of Tidal Turbine Behaviour under Real Turbulent Tidal Flow Conditions
December 2015 – December 2016
Researchers investigated and numerically quantified the behaviour of a tidal turbine under turbulent unsteady tidal flow, using flow data collected in the lower Bay of Fundy (Digby area).
Tidal Energy » Tidal Resource Characterization and Modelling
Turbulence in Grand Passage Nova Scotia: Measures of Intermittency
April – December 2016
Turbulence research is very important to advancing the in-stream tidal energy sector, however turbulence in general is not well understood. Measurement at prospective turbine locations is essential prior to development, given the high degree of spatial variability between sites.
Tidal Energy » Tidal Resource Characterization and Modelling
Characterizing Tidal Flows and Turbine Power Production in Petit Passage using Oceanographic and CFD Models
September 2015 – March 2016
The goal of this project was to identify potential turbine deployment locations in Petit Passage Nova Scotia, using computational fluid dynamics (CFD) and finite volume coastal ocean models (FVCOM).
Tidal Energy » Tidal Resource Characterization and Modelling
Spectral and Structure Function Estimates of Turbulence Dissipation Rates in a High Flow Tidal Channel Using Broadband ADCPs
January 2016
Spectral and structure function methods are implemented to compute the dissipation rate, ε, from broadband, diverging-beam, acoustic Doppler current profiler (ADCP) data collected at four sites in a high-flow tidal channel.