To decarbonise, the participation of the oil industry is key. Rather than process crude oils, refineries are able to co-process biogenic feedstocks alongside their fossil fuel to reduce the carbon intensities of the fuels they produced. Our project will evaluate what’s the impact of adding these biogenic feedstocks to the existing refining units by long […]

This capstone project seeks to develop intervention strategies to help Varsity Courts Student Family Housing (VCSFH) become a zero-waste community. Thus, this project aims to contribute to achieving the University of Calgary zero-waste goals. Nature’s Ride can use the intervention strategies as workshops that can be taught in schools. Nature’s Ride can explore the possibility […]

Les producteurs de turbines hydroélectriques optimisent sans cesse leurs équipements pour des raisons concurrentiels, économiques et environnementales. C’est le cas des turbines hydroélectrique qui sont poussé à la limite de leur spécification pour répondre aux besoins du marché. Cette réalité augmente considérablement les risques de défaillance des composantes de la turbine. Estimer le niveau de […]

Petroleum hydrocarbons (comprise crude oil, gasoline, and diesel) are an important energy resource used by industries and human. At the same time, contamination by oil and oil products has caused serious harm to humans and the environment and increasing attention has been paid to the development and implementation of innovative technologies for the removal of […]

Le nouveau contexte économique en raison de la COVID-19 et la nécessité de passer d’urgence au télétravail ont eu de grandes perturbations sur le déroulement des projets au niveau de CTA. En effet, la réduction des interactions entre les employés et les stagiaires fait en sorte que les connaissances générées lors des projets sont de […]

3D laser scanners are common tools for data collection and monitoring in mining. However, there is a knowledge gap concerning how to effectively deploy this technology in underground mines. The objective of this research is to explore the applications of mobile- and cart-based scanning systems MineFly and CartScan manufactured by the partner organization in underground […]

The proposed research aims to demonstrate the performance of effective, non-proprietary moment connections for wide-flange (W-) beams to rectangular hollow section (RHS) columns in limited-ductility (Type LD) moment resisting frames (MRFs) that are easy and cost-effective to fabricate, handle, and erect. Two W-beam-to-RHS column moment connection prototypes will be developed and tested, in duplicate, at […]

Lorsqu’une catastrophe majeure survient, l’organisation rapide et efficace des secours est un facteur important pour circonscrire l’impact de l’événement. Un facteur déterminant pour la bonne organisation des secours est la disponibilité d’une information rapide et fiable recensant les infrastructures et les bâtiments qui sont endommagés et ceux qui sont encore opérationnels. Pour réaliser rapidement cette […]

Irving Paper is a specialty paper producer located in Saint John, New Brunswick. The mill has made significant investment most recently. There are three TMP lines that produce high- quality TMP to be used by two super- calendered (SC) paper machines. The TMP quality, including the fiber characteristics, would be critical in producing highquality SC […]

This project is a cooperation between the university and an industrial partner. The project is reflecting the most challenging concerns in the carbon capture processes at the industrial operations. The project seeks possible solutions for the improvement of solvent-based post combustion CO2 capture process. The process improvement qualifiers are the amount of the energy utilization, […]

In this project, a collaboration between an industry partner and Memorial University will begin with a PDF working on a project partly funded by MITACS and in part by the industry partner. In this project, we will be investigating how to separate oil contaminations from water using filtration through a membrane. The membrane properties will […]

We deal with condition monitoring and predictive maintenance of a selected electrical asset using deep learning. We propose an efficient predictive maintenance strategy for a selected electrical asset in order to optimize their life cycle costs. We will investigate the use of LSTM networks in order to predict the Remaining Useful Life RUL for the […]