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Sujets en rapport avec les technologies propres » énergie éolienne

Creating a Workplan for Offshore Wind Pathways to Market Studies

March – September 2023

Offshore wind electricity has the potential to (1) satisfy domestic electricity demand, (2) be exported to neighbouring jurisdictions, and (3) be used for hydrogen production.  It is important for policymakers, power system operators, electricity regulators and other stakeholders to understa

Sujets en rapport avec les technologies propres » énergie éolienne

Value mapping Nova Scotia’s Offshore Wind Resources

March – April 2023

Offshore wind is an untapped resource in Nova Scotia, which, if developed, has the potential to enable energy exports, stimulate rural economies, and contribute towards meeting the province’s greenhouse gas emission reduction targets.

Faits marquants sur l’énergie marémotrice » caractérisation et modélisation des ressources en énergie marémotrice

Turbulence and Bottom Stress in Minas Passage and Grand Passage

September 2011 – February 2015

This project aimed to investigate turbulence and bottom stress at two sites being targeted for in-stream tidal power development in Nova Scotia: Minas Passage in the Upper Bay of Fundy and Grand Passage, located between Brier and Long Island in the 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.