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Sujets en rapport avec les technologies propres » Emerging Concepts and Technologies Research Program

A Feasibility Study for Nature-Based Carbon Dioxide Removal Solutions at Nova Scotia Power’s Hydroelectric Facilities

September 2023 – September 2024

Rapid and widespread reduction of emissions are needed to reduce the risk of severe climate change; however, emission reductions will not be enough.

Sujets en rapport avec les technologies propres » Emerging Concepts and Technologies Research Program

High-performance hydrogen sensors for leak detection in transportation and industrial applications

September 2023 – September 2024

This project will develop hydrogen sensors with superior sensitivity, selectivity, and response times for early leak detection in marine and ground transportation sectors.

Sujets en rapport avec les technologies propres » Emerging Concepts and Technologies Research Program

Green ammonia derived membranes & sorbents for direct air capture of carbon dioxide

September 2023 – September 2024

Carbon dioxide (CO2) induced global warming is an existential threat, prompting efforts to reduce net emissions of this greenhouse gas (GHG) to zero. But as CO2 levels are already dangerously high, removal of CO2 remains necessary even once the net-zero target is achieved.

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.

Sujets en rapport avec l’hydrogène » Socioeconomics

Socioeconomic Impacts of Hydrogen Production in Nova Scotia

October 2022 – April 2023

The objective of this study is to provide the Government of Nova Scotia with the information necessary to further understand the socioeconomic impacts of a large-scale, green hydrogen production facility in Nova Scotia.

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

Numerical Modeling of Tidal Turbine Behaviour under Real Turbulent Tidal Flow Conditions

December 2015 – December 2016

Researchers investigated and numerically quantified the behaviour of a tidal turbine under turbulent unsteady tidal flow, using flow data collected in the lower Bay of Fundy (Digby area).

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

Turbulence in Grand Passage Nova Scotia: Measures of Intermittency

April – December 2016

Turbulence research is very important to advancing the in-stream tidal energy sector, however turbulence in general is not well understood.  Measurement at prospective turbine locations is essential prior to development, given the high degree of spatial variability between sites.

Faits marquants sur l’énergie marémotrice » infrastructures et pratiques exemplaires

Funding and Financial Supports for Tidal Energy Development in Nova Scotia

June – September 2016

To help ensure Nova Scotia and Canada benefit from a sustainable marine renewable energy industry over the longer term, this study identifies the suite of applicable funding and financial support mechanisms used in different jurisdictions around the world, recommends a combination that may be sui

Faits marquants sur l’énergie marémotrice » vie marine

Use of Fish Tracking Data to Model Striped Bass Turbine Encounter Probability in Minas Passage

September 2016

This project used fish tracking datasets and VEMCO detection-range tests to calculate fish-turbine encounter probabilities for striped bass.