Research Portal
Displaying 21 – 25 of 25 results
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 » 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.