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Modeling of Electric Boats as Energy Storage

July 2018 – September 2020

Electric boats have the potential to act as “energy storage wrapped in a boat”.

Analysis Framework for Long-Term and Cumulative Effects Monitoring

October 2018 – September 2020

This project created a framework for testing in-stream tidal turbine effects on specific marine species populations. The framework provides the basis for future assessment of far-field and cumulative environmental effects.

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.

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

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.

MRE Infrastructure Assessment Update

May – August 2016

This project reviewed the results of a 2011 study to identify where significant changes in infrastructure demands have occurred.

Spectral and Structure Function Estimates of Turbulence Dissipation Rates in a High Flow Tidal Channel Using Broadband ADCPs

January 2016

Spectral and structure function methods are implemented to compute the dissipation rate, ε, from broadband, diverging-beam, acoustic Doppler current profiler (ADCP) data collected at four sites in a high-flow tidal channel.