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Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice
The Vectron2 Project: Turbulence Measurements for the In-stream Tidal Energy Industry
March 2019 – November 2021
The Vectron is a new sensor used for measuring turbulence velocity within a tidal turbine’s swept area. The Vectron has been successfully prototyped, where next steps are to take the technology to the ‘industry-ready’ stage of development and the focus of this project.
Sujets en rapport avec les technologies propres » débouchés économiques
Assessment of Clean Growth Opportunities in Nova Scotia
December 2020 – March 2021
Under the Sustainable Development Goals Act, Nova Scotia has legislated a net-zero greenhouse gas (GHG) emission economy by 2050. To achieve this important milestone a portfolio of decarbonization strategies will be adopted by the private and public sectors.
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.