Development of in operando characterization methods for lithium ion battery materials

The successful commercialization of new cathode materials for lithium ion batteries requires an improved and detailed understanding of the correlations between their structure, properties, and performance. Such a correlation will provide a foundation for better understanding the degradation mechanisms and optimized operating conditions for these cathode materials; pairing new battery materials with ideal applications and standardizing the methods by which these materials are evaluated.

Application of Machine Learning Methods in Vancouver Island Supply Capability Determination

This project is a feasibility study of applying Machine Learning to Vancouver Island Load Supply Capability determination. The intern is expected to apply neural networks and other machine learning methods to train a transmission operation decision making model to determine the load supply capability of Vancouver Island. An operation scenario database covering equipment status and load information will be generated as the training data to the decision making model.

Development of Cost-Effective Solutions for Energy Management in Smart Buildings

This project aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis is put on consumer side energy management strategies that able to balance energy demand and supply and to reduce the overall operational cost while providing an enhanced performance.

Control of HVDC Links in Synchronous and Asynchronous AC Grids using Wide Area Phase Angle Measurement

High Voltage DC Transmission (HVDC) is used for bulk power transfer over long distances. Manitoba Hydro’s HVDC system involves collection of AC power in the north where it is converted to DC and then transferred to southern Manitoba (approx 900km) through asynchronous HVDC links where it is converted back to AC to feed consumers. Asynchronous HVDC links can be used for improving electro-mechanical dynamics of the interconnected AC grids. This includes the functions of power swing damping, emulation of inertia and power-frequency droop.

Low-dose ionizing radiation and health

This project involves three streams, all focusing on the effects of low-dose ionizing radiation. The first stream examines the effects of single ion irradiation using the Microbeam at McMaster University. Preliminary biological research will be conducted on human cell lines using standard radiobiological endpoints including DNA double strand break foci and micronuclei formation. The second stream is a clinical trial assessing whether low-dose half-body irradiation can stimulate immunity and reduce recurrent prostate cancer.

Finite Element and Probabilistic-Based Analysis of Dents in Pipelines

Pipelines are a common means to transport oil, gas, and other petroleum products used by citizens in everyday life. Permanent inward deformations, called dents, can develop along a pipeline, most of which are not a safety concern. The objective of the project is to develop the processes used to accurately assess the safety of different types of dents. Maintaining pipeline integrity is of utmost importance to protect the environment and the community.

Integrated Subsea Pipeline Integrity Management using Real-time Condition Monitoring Technique

Integrated integrity management is essential for subsea pipeline failure prevention, predictive maintenance and life extension campaign. Without managing integrity adequately, the condition of subsea pipeline would continue to deteriorate until premature failure. Real-time Condition Monitoring (CM) is a sensor-based monitoring technique aimed at enhancing the productivity of pipeline operation. The main intent of condition monitoring is to assess operating conditions and performance, improve performance, aid maintenance, extend life and inform operator if the integrity is compromised.

Experimental and Mathematical Modeling of Flow Instability in Heavy Oil Recovery Processes

This research project with the industry partner Saskatchewan Research Council focuses on the displacement front instability in heavy oil recovery processes such as water flooding, solvent injection and polymer flooding. In those processes, the less viscous displacing fluid usually moves faster than the more viscous displaced heavy oil. This results in an instability that manifests itself in the form of finger-shaped intrusions, and which is viscous fingering (VF). The VF phenomenon tends to greatly reduce sweep efficiency, leaving a large amount of untouched heavy oil underground.

Modularization and Standardization of Pipe Rack Infrastructure

The growing trend of delivering structural design services for industrial structures to foreign countries has often led to designs that reflect the local experience of designers who are part of a construction culture that includes very low-cost labour. The result is that Canadian construction companies such as the research partner company, Waiward Steel LP, are faced with fabricating structures that are neither efficient nor provide good value for owners.

Modeling and HIL Simulation of Modular Multilevel Converters

The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into the existing grid. These two internships will develop functional models that can be readily used for the analysis and design of systems involving modular multi-level converters.