Research Portal
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Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Going with the Flow: Advancement of Drifting Platforms for use in Tidal Energy Site Assessment & Environmental Monitoring
April 2015 – August 2017
This research project aimed to apply a simple and low cost philosophy to ocean observation by developing an inexpensive low-profile surface drifter for use in initial assessment of potential tidal energy development opportunities. The project addressed limitations in the existing drifter de
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Drones and Drifters – The Great Pumpkin Race
October 2016 – July 2017
This project tested and developed a new low-cost approach to collecting oceanographic measurements for use in tidal initial site assessments. The plan combines one of the oldest tools in oceanography, the drifter, with one of the newest, the drone.
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
High-Resolution Numerical Model Resource Assessment of Minas Passage, Bay of Fundy
January 2017
Two numerical models developed by the Acadia Tidal Energy Institute are described. The models simulate the tidal flow in the Bay of Fundy, and in particular the Minas Passage. The models have different grid resolution, one suitable for site assessment and one suitable for resource assessment.
Faits marquants sur l’énergie marémotrice » infrastructures et pratiques exemplaires
Environmental Effects Monitoring Project
January 2016 – January 2017
FORCE developed an Environmental Effects Monitoring Program (EEMP) to study five major subject areas: fish, marine mammals, lobster, marine noise and seabirds. The EEMP was designed to be adaptive in nature.
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
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).
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
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.
Faits marquants sur l’énergie marémotrice » infrastructures et pratiques exemplaires
Funding and Financial Supports for Tidal Energy Development in Nova Scotia
June – September 2016
To help ensure Nova Scotia and Canada benefit from a sustainable marine renewable energy industry over the longer term, this study identifies the suite of applicable funding and financial support mechanisms used in different jurisdictions around the world, recommends a combination that may be sui
Faits marquants sur l’énergie marémotrice » infrastructures et pratiques exemplaires
MRE Infrastructure Assessment Update
May – August 2016
This project reviewed the results of a 2011 study to identify where significant changes in infrastructure demands have occurred.
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
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).
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
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.