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Renewable Energy » Tidal Resource Characterization and Modelling

How Does Sound Travel in High Energy Environments? Effectiveness of Acoustic Monitoring Systems and Turbine Audibility Assessment

April 2017 – December 2020

The researchers are designing and implementing a long-term acoustic monitoring program to support tidal energy development in the Bay of Fundy. Specialized acoustic instrumentation was deployed for a two-month period in Grand Passage to advance understanding how turbulence affects the ability to

Renewable Energy » Tidal Resource Characterization and Modelling

Reducing Costs of Tidal Energy through a Comprehensive Characterization of Turbulence in Minas Passage

October 2017 – March 2020

Turbulence is a significant issue at every site being considered for in-stream tidal energy development.

Renewable Energy » Tidal Resource Characterization and Modelling

Turbine Wake Characterization

November 2017 – March 2019

Turbine wake characterization is a key endeavour to the development of in-stream tidal turbine arrays.  In a sense, a turbine’s footprint includes its wake, wherein flow speeds are less and turbulence is elevated compared to the ambient surroundings.  It is thus desired to not just delineate wake

Renewable Energy » Tidal Resource Characterization and Modelling

Going with the Flow II: Using Drifters to Address Uncertainties in the Spatial Variation of Tidal Flows

October 2017 – June 2018

Drifters are one of the oldest, simplest and most reliable methods for measuring ocean currents. Drifters also provide a simple, low risk platform from which to gather acoustic information along flow streamlines or ‘drift tracks’.

Renewable Energy » Socio-economic and Traditional Use » Socioeconomic Studies

Nova Scotia Small Tidal Test Centre: Gap Analysis and Business Case

November 2017 – March 2018

As the tidal energy industry develops, there is increasing interest in the prospects for small-scale tidal energy development. Building small-scale tidal energy installations has promise given the number of locations where they can be used.

Renewable Energy » Tidal Resource Characterization and Modelling

Turbulence Dissipation Rates from Horizontal Velocity Profiles at Mid-Depth in Fast Tidal Flows

December 2017

This study characterizes the turbulence in a tidal channel in the Bay of Fundy that has been identified for development as a tidal power resource.

Renewable Energy » Tidal Resource Characterization and Modelling

Going with the Flow: Advancement of Drifting Platforms for use in Tidal Energy Site Assessment & Environmental Monitoring

April 2015 – August 2017

This research project aimed to apply a simple and low cost philosophy to ocean observation by developing an inexpensive low-profile surface drifter for use in initial assessment of potential tidal energy development opportunities.  The project addressed limitations in the existing drifter design

Renewable Energy » Tidal Resource Characterization and Modelling

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.

Renewable Energy » Tidal Resource Characterization and Modelling

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.

Renewable Energy » Tidal Resource Characterization and Modelling

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).