Research Portal

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.

Geoscience » Source Rock & Depositional Environment

Sydney Basin and Nova Scotia Forensic Geochemistry

May 2016 – March 2017

Sydney Basin and Nova Scotia Forensic Geochemistry

Advancing Tidal Energy Turbine Operations through High Fidelity Tug Propulsion and Control Simulation Software

November 2016 – March 2017

The project objective was to develop a numerical model of a tug boat and its propulsion system to accurately predict its dynamic behaviour in turbulent tidal flows.

Environmental Effects Monitoring Project

January 2016 – January 2017

FORCE developed an Environmental Effects Monitoring Program (EEMP) to study five major subject areas: fish, marine mammals, lobster, marine noise and seabirds. The EEMP was designed to be adaptive in nature.

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.

Community and Business Toolkit for Tidal Energy Development

November 2011 – March 2013

This toolkit covers the science, technology, business and community aspects of tidal energy development in Nova Scotia, effectively integrating the applied, natural and social sciences. It can serve as a model for future applied interdisciplinary work on tidal energy and marine renewables.

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.