Rechargeable lithium-ion batteries are the leading candidate for powering hybrid electric vehicles (HEVs) and pure electric vehicles (EVs) due to their high energy density properties compared to other battery technologies. However, their performance is substantially reduced at temperatures below 0 °C, posing a technical barrier for market penetration of HEVs and EVs. The root cause behind this poor outcome is largely attributed to low conductivity of the electrolyte as well as low lithium-ion diffusivity.
The continuing rise in demand, the decline in conventional domestic production, and the belated development of alternatives to petroleum combine to increase the importance of seeking new resources and methods for enhanced oil recovery (EOR). The amount, cost, and timing of the EOR contribution are highly uncertain. Additionally, due to the current economical constraints that oil industry is experiencing, the search for a cost-effective recovery method is even more significant.
The main outcome of this Mitacs-sponsored project will be a robust navigation software capable of providing accurate navigation solutions for commercial Unmanned Aerial Vehicles (UAVs). Such a software will further elevate the industrial competitiveness for the partner corporation, the Profound Positioning Inc. (PPI). After finishing this project, PPI will be able to offer more comprehensive embedded integrated UAV navigation products.
This project will attempt to improve knowledge of the condition of the roof of mining rooms in potash mining. Typically a Ground Penetrating Radar (GPR) systems pointing overhead and connected to a mining machine is used to assess the conditions of the roof. This is important in order to avoid rock falls which endanger lives, equipment and the operations of potash mining.
Structurlam, a construction-wood products manufacturer located in Penticton, BC, needs to optimize their cross-laminated panels production line, aiming to increase machinery productivity, and minimize time and unnecessary shuffling of finished panels. The purpose of this project is to define equations and rules representing the production process of wood panel to enhance the productivity. The researchers will develop a schedule tool applicable to Structurlams facility and production process. The tool will provide the optimum wood panel production sequence.
Lyan Eng. Developments Inc. is looking to find novel ways to make processes in the energy sector more cost efficient. The results from this project have significant applications to pipeline integrity and platform integrity for sub-sea and off-shore applications. The robust failure prediction models are going to help engineers in various disciplines to accurately predict failure in complex structures.
Human activity in PEI contributes to over 90% of nitrates in island waterways. These nitrates are responsible for the growth of plants and algae including sea lettuce that chokes ponds and waterways, discolor water and create an anoxic event, which is harmful to the marine ecosystem. The proposed research investigates an integrated process for the conversion of sea lettuce into hydrochar and biogas with recycling of nutrients that could justify the harvesting of sea lettuce.
Short-term hydropower optimization models are used on a daily basis to dispatch the available water for production between the turbines of the power plants that compose an hydropower system. Rio Tinto owns and operates power plants in the Saguenay Lac-St-Jean region of the province of Quebec and is currently lacking efficient tools to help the engineers in the daily decision making for the management of their hydropower system. The objective of this project is to develop tools to solve the short-term optimization model and therefore improve the water productivity of the hydropower system.
One of the most challenging issues in the gold mining industry comes from the carbonaceous ore components adsorbing gold ion complexes, resulting in up to 90% gold loss during cyanide leaching process. The addition of chemical reagents as blinding agents is one of the most promising methods to blind the organic carbon content of ore materials to increase the gold recovery from carbonaceous preg-robbing ores.
Enbala Power Networks Inc., a Canadian leader in distributed energy resource management, and the University of British Columbia, Okanagan have teamed up to develop real-time voltage control and loss minimization method for power distribution grids integrating large-scale renewable energy sources. The proposed method uses micro-Phasor Measurement Units (PMUs) and distributed reactive power control to achieve real-time voltage control and transmission loss minimization.