Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 132 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Probabilistic Evaluation of Distribution Networks Containing Distributed Energy Sources, Energy Storage and Electric Vehicles

After introducing deregulated power markets and small scale distributed generation (DG) in power distribution systems, the probabilistic evaluation gained much attention to quantify the uncertainties due to parameters such as wind speed, solar irradiation, power market price etc. Meanwhile, due to increasing penetration of electric vehicles (EVs), the load demand due to EV charging has become very relevant information needed for power system planning studies. Thus this project aims to quantify those uncertainties associated with active elements
such as DGs, EVs, and storage devices for developing the most economic expansion and operational plans for a power distribution system. For that purpose, some new stochastic models will be developed for each of the aforementioned active elements for evaluating the power system reliability. To ensure the efficiency of the proposed methods and models a sensitivity analysis will be carried out.

Voir la description complète du projet
Superviseur du corps professoral :

Athula Rajapakse

Étudiant :

Partenaire :

Manitoba Hydro

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

University of Manitoba

Programme :

Accelerate

Evaluating Performance of Polymer Membranes for Fuel Cell Humidifier Applications

Hydrogen fuel cells require humidification in order to operate effectively, yet, at the same time produce a constant stream of moisture through their exhaust. Membrane fuel cell humidifiers provide a method of ‘recycling’ this moisture, thereby saving energy. They work similarly to heat exchangers, but take advantage of special polymer membranes in order to exchange moisture. Fuel cell environments can be very taxing on membranes, reaching temperatures of 95C, so selecting the right membrane material is of utmost importance. In this project, two test stations will be constructed to evaluate candidate membrane materials. The first will test for permeability to moisture under high temperature conditions. The second will create an accelerated aging environment, simulating the effects of extended use in the field. In conjunction, these two stations will be able to thoroughly evaluate candidate membrane materials for membrane-fuel cell humidifiers.

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Superviseur du corps professoral :

Steven Rogak;Sheldon Green

Étudiant :

Partenaire :

dPoint Technologies Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Assessing soil parameters using reflectance spectroscopy

The goal of the research undertaken as part of this project is to develop a system to measure soil properties in the field based on near infrared light reflectance. Using machine learning, the complex near infrared data can be turned into valuable soil analytical data. By supporting this research, Route 7 Inc. will obtain an innovative portable soil measurement system that will provide data on soil immediately in the field for much cheaper than currently used laboratory analytical testing. Using this system, Route 7 Inc. will be able to develop a faster, yet accurate and reproducible, soil testing method for hydrocarbon contamination, reducing the costs to remediate contaminated oil and gas facilities.

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Superviseur du corps professoral :

Sylvie Quideau

Étudiant :

Partenaire :

Route 7 Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Evaluation and Identification of Gaps and Technical Challenges in Candidate Carbon Capture/CO2 Conversion Technologies

In the wake of the Paris meeting on global climate change in December of 2015 (COP21), commitments to drive down greenhouse gas emissions have escalated around the world. Man-made carbon dioxide (CO2) emissions are accepted as the largest contributor to climate change. Promising next-generation technologies for decreasing CO2 emissions are being investigated at the lab scale. Unfortunately, the technology developers often lack next-step projects and connections with industrial end-users to allow the technology to advance and become commercialized. CMC is committed to accelerating innovations associated with industrial greenhouse gas emissions. The overall approach is to focus on rapid and cost-effective reduction of uncertainties to enable earlier decision making. This project will focus on working with technology developers to identify critical limiting uncertainties and develop pathways to address them, including through integration, adaptation, application development, pilot testing, and scale-up projects.

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Superviseur du corps professoral :

George Shimizu

Étudiant :

Partenaire :

CMC Research Institutes Inc

Discipline :

Physics

Secteur :

Administrative and support, waste management and remediation services; Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Stochastic Modelling of One Time Programmable Memory Bit Cell

Programming of long-term digital memory storage devices is currently not an optimised process. This is due to the fact that the exact physical mechanisms that allow for a data bit to be reliably stored and read are not well understood. As a result, in order to produce high quality, long-lasting, reliable memory cells, the manufacturer must perform extensive testing and
iterative modifications on each generation of products. Our project aims to develop a software model that simulates the physics and chemistry of memory device structures on an atomic level. This tool will allow for product optimisation in early stages of the design process, and for circuit and system design to be performed with an understanding of the memory devices in mind. Product engineers and manufacturers will save time and money while improving the reliability and performance of both the memory devices and system being delivered to the customer.

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Superviseur du corps professoral :

Wai Tung Ng

Étudiant :

Partenaire :

Sidense Corp (Canada)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Development, application, and testing of an environmental fate model for assessing wastewater remediation capacity of treatment wetlands

The development of the oil sands has led to a large consumption of freshwater in Canada. The wastewater that is produced is contaminated with many industrial pollutants leading the provincial government of Alberta to issue a “zero-discharge” policy for untreated wastewater. This project will investigate treatment wetlands as an option for reclaiming oil sands-related wastewater. To investigate the efficiency of treatment wetlands to safely reclaim wastewater, a model that describes the behaviour of chemicals in a wetland environment will be developed, and tested against empirical data gathered from a pilot-study constructed wetland at the Imperial Oil Ltd. Kearl Lake site. The model’s performance will be evaluated, and novel approaches will be tested to calibrate the model with the real-world pilot wetland. The objective of this project is to build a tool that allows decision-makers to evaluate the feasibility of treatment wetlands based on site-specific conditions, chemical properties, and reclamation objectives.

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Superviseur du corps professoral :

Frank Gobas

Étudiant :

Partenaire :

Imperial Oil Resources Ltd

Discipline :

Engineering

Secteur :

Mining

Université :

Simon Fraser University

Programme :

Accelerate

Investigation of electrochemical post-processing procedure for Ti-6Al-4V lattice structure manufactured by Direct Metal Laser Sintering (DMLS)

Additive manufacturing that is commonly called 3D printing has been identified as the 3rd industrial revolution because the outstanding flexibility that it brings to designer in the industry. Because the part is printed layer by layer, almost any complex geometry that can’t be made by conventional methods can be fabricated in a wide range of material like polymer, metal and ceramics. On the other hand, a major drawback of this technology limits its application in real engineering scenario in the industry and it’s the surface roughness of the printed part. Because of its rough surface, the mechanical properties of the printed geometry are considerably affected because the imperfections will tend to initiate crack propagation that will subsequently lead to the failure of the concerned part. This study will focus on 3d printed metal parts made from titanium because of its high importance in biomedical and aerospace applications. To solve the surface roughness problem, the post – processing characterisation of the printed geometry need to be evaluated. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Yaoyao Zhao

Étudiant :

Partenaire :

FZ Engineering Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McGill University

Programme :

Accelerate

Developing metabarcoding approaches to describe the fish diversity within a diversity of aquatic habitats

Evaluating the impact of multiple stressors on aquatic ecosystems often requires robust biodiversity estimates. Traditional methods for sampling fish communities are very costly, may have a significant share of inaccuracy and require specialized taxonomic expertise and have numerous other inherent limitations.
The general objective of our proposed project is:
• to develop and validate genomic tools that will allow accurate monitoring of biodiversity and to compare results from traditional sampling techniques with biodiversity estimates based on refined metabarcoding approaches to describe the fish and diversity within a diversity of impacted aquatic habitats;
• to develop, test and apply advanced environmental genomics tools to predict and mitigate the responses of aquatic communities under environmental stressors.

Voir la description complète du projet
Superviseur du corps professoral :

Melania Cristescu

Étudiant :

Partenaire :

WSP Canada Inc

Discipline :

Life Sciences

Secteur :

Environmental Science and Technology; Life Sciences (not health); Sustainability & the Environment

Université :

McGill University

Programme :

Accelerate

Statistical analysis and interpretation of metabolite profiling results

Data analysis and interpretation is a critical step in metabolomics. In metabolomics studies, large amounts of data must be evaluated by appropriate analytical tools in order to transform data into knowledge. Chenomx Inc. is a company that provides metabolomics research software and services. Its flagship software product Chenomx NMR Suite is an integrated set of tools for identifying and quantifying metabolites in Nuclear magnetic resonance (NMR) spectra. In this project, we propose developing a statistical analysis and interpretation framework for analyzing the profiling results reported by the profiling software of Chenomx. The proposed research project will provide novel uncertainty analysis and biomarker analysis methods and generate a software module based on the developed statistical analysis and interpretation techniques, which will significantly complement the existing strength of Chenomx profiling software.

Voir la description complète du projet
Superviseur du corps professoral :

Zukui Li

Étudiant :

Partenaire :

Chenomx Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Characterization of graphene-based composites

Blending carbon fillers with thermoplastic materials can lead to a significant improvement of the resulting electrical, mechanical, thermal, and gas barrier properties compared with the unfilled polymer. Graphene, the name given to a material consisting of two-dimension layers of carbon atoms arranged in a hexagonal lattice, has extraordinary properties which make possible to produce a new class of polymer nanocomposites with significantly improved properties. The objective of this project is to characterize the properties of nanocomposites obtained at by incorporating NanoXplore’s various grades of graphene into different thermoplastic matrixes and to find the suitable graphene concentration range for each thermoplastic for numbers of industrial applications.

Voir la description complète du projet
Superviseur du corps professoral :

Eric David;Nicole Demarquette;Pascal Hubert

Étudiant :

Partenaire :

NanoXplore Inc

Discipline :

Engineering

Secteur :

Nanotechnology; Energy and Utilities; Construction

Université :

École de technologie supérieure; McGill University

Programme :

Accelerate

High resolution and functional retinal imaging

The purpose of this proposal is to develop novel technology for optical imaging of the eye, as well as novel computer algorithms toward the automated analysis of this data. The first part of the proposal concentrates on the development of algorithms that will remove motion artifact from images of the retina, the light sensitive back of the eye. Additional computer algorithms will be developed to segment the retinal blood vessels, which are important diagnostic indicators for diseases causing vision loss. The second part of the proposal will investigate a novel optical design for high resolution imaging of the retina, and build on the motion correction and segmentation algorithms developed in the first part, but implemented for the characteristics of the high resolution images.

Voir la description complète du projet
Superviseur du corps professoral :

Marinko Sarunic;Mirza Faisal Beg

Étudiant :

Partenaire :

West Coast Retina Consultants Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Real Time Prediction of a Wind Farm Power Output

Wind farm power production forecasting within time interval, from minutes to hours, is essential for utilities and is required for planning operation/shutdown of thermal units in the system. This project involves finding a wind farm simulation model that could be used for the development of wind power prediction software. The main challenge is to find a simple model that takes topographical maps, wind farm layout and the long-term site wind and atmospheric data and then to use this data to calculate wind speed at all wind turbines. The resulting simple model derived during this project will of a wind farm will be used to develop a computer program that is fast and can be used in real-time using a High Performance Computing Cluster (HPCC). The code will effectively employ real-time wind and weather data to predict the expected short-term and long-term output of the wind farm.

Voir la description complète du projet
Superviseur du corps professoral :

Tariq Iqbal

Étudiant :

Partenaire :

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.