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Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Multi-Scale Turbulence Measurement in the Aquatron Laboratory
July 2018 – July 2019
This project has two primary objectives - to characterize the flow and turbulence in the Aquatron facility pool tank using turbulence sensors calibrated against a traceable standard; and to test technologies for investigating the horizontal variability of turbulence in real-world tidal channels.
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Remote Acoustic Measurements of Turbulence in High-Flow Tidal Channels during High Wave Conditions
April 2018 – April 2019
Many of the high-flow tidal channels targeted for worldwide in-stream hydro-electric development are impacted by surface gravity waves incident from a large exterior basin (e.g. the Bay of Fundy/Gulf of Maine/North Atlantic).
Faits marquants sur l’énergie marémotrice » vie marine
Acoustic Tracking of Fish Movements in the Minas Passage and FORCE Crown Lease Area: Pre-Turbine Baseline Studies
June 2011 – July 2013
This project used animal tracking technology developed by VEMCO, a division of AMIRIX Systems of Halifax, NS. The technology allows researchers to track animal movements and behaviour over a scale of kilometers.
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Passive Acoustic Monitoring of Cetacean Activity Patterns and Movements Pre- and Post-deployment of TISEC devices in Minas Passage
June 2011 – July 2013
This project aimed to conduct pre- and post- in-stream tidal energy device deployment assessments of marine mammal activity and to assess the potential risk for interaction with turbine infrastructure.
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Cross Coupling between Device Level CFD and Oceanographic Models Applied to Multiple TISECs in Minas Passage
October 2011 – January 2013
This project aimed to develop a link between oceanographic computer models and Computational Fluid Dynamics (CFD) models in order to improve state-of-the-art modelling techniques used for resource assessments and tidal turbine siting for both single and multiple in-stream tidal energy devices.