Research Portal
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Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
How Does Sound Travel in High Energy Environments? Effectiveness of Acoustic Monitoring Systems and Turbine Audibility Assessment
April 2017 – December 2020
The researchers are designing and implementing a long-term acoustic monitoring program to support tidal energy development in the Bay of Fundy. Specialized acoustic instrumentation was deployed for a two-month period in Grand Passage to advance understanding how turbulence affects the abilit
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Reducing Costs of Tidal Energy through a Comprehensive Characterization of Turbulence in Minas Passage
October 2017 – March 2020
Turbulence is a significant issue at every site being considered for in-stream tidal energy development.
Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
Turbulence and Drag in a High Reynolds Number Tidal Passage Targeted for In-Stream Tidal Power
August 2013
Results are presented from an investigation of turbulence and bottom drag carried out in Grand Passage, lower Bay of Fundy.
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.