Liquefied natural gas (LNG) has up to 20% CO2 and 90% NOx fewer emissions than diesel; making it a cleaner alternative fuel for mobile applications. LNG has high volumetric energy density and is cost effective ($0.5 cheaper than diesel gallon equivalent). However, LNG is stored at low temperatures (-162ºC) and releases boil-off gas that contributes […]

This project will help the industrial partner design tests to prove a concept for fusion energy production. In the tests, metal cylinders (and other shaped liners) are dynamically collapsed to compress a high temperature plasma to fusion conditions. This highly dynamic event, however, may result in some of the metal from the cylinder contaminating the […]

This research is designed to assess various factors related to the dispersal and recovery of the Peregrine Falcon in Manitoba. As the Peregrine Falcon continues to be designated “Endangered” in Manitoba and “Threatened” nationally, data regarding survivorship, mortality factors, habitat use, and movements are required to guide future management activities related to the provincial Peregrine […]

There is growing pressure from intergovernmental organizations, governments and consumers to reduce the quantity of greenhouse gases being released into the atmosphere. Investments in green technology such as renewable energy sources, battery technology and carbon capture and sequestration can often yield significant reductions in carbon emissions. However, the corresponding economic costs of these projects can […]

Seaforth Energy is seeking to expand its small wind turbine business to the rapidly growing Indian market where ‘off-grid’ sustainable energy solutions are needed. In order to assess the feasibility of such an endeavor, this research project will examine the current Indian renewable energy policy and investment climate. However, Seaforth’s success in penetrating this market […]

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 research project provides for the advancement of knowledge of and methodology for fretting phenomena modeling specific to nuclear fuel rod systems to preclude component failures. Grid-to-rod-fretting (GTRF) remains the most common cause of fuel rod failures and associated performance issues in pressurized water reactors (PWR). GTRF denotes the deterioration of the surface integrity of […]

Power prices are a significant contributor to the overall risk of almost any large-scale industry. In particular, energy companies such as TransAlta who are active participants in many regional power markets have a strong interest in understanding the long-term risks they are exposed to. This project seeks to develop a model that will help TransAlta […]

The implementation of hydroelectric power over the past 100 years in Nova Scotia has resulted in changes to the habitats of many important species. In the watersheds where hydro dams have been constructed, plant, fish and animal habitat have all been impacted to some extent. Although some of these impacts have been positive (the creation […]

In northern countries, ice storms can cause major power disruptions such as the one that occurred in the Toronto area on December 2013 that left more than 300,000 customers with no electricity immediately after the storm. Prediction of ice formation on power cables can help on taking actions for removing the ice before a major […]

Face à la demande grandissante en électricité, les gestionnaires de réseaux électriques doivent implanter de nouvelles lignes de transport d’énergie dans les grands centres de distribution. Ces endroits très peuplés imposent de nombreuses contraintes au niveau de la conception de ces lignes. Parce qu’ils sont esthétiques et compacts, les pylônes tubulaires sont souvent sélectionnés dans […]

Le projet a pour but de développer une méthodologie globale permettant d’élaborer des systèmes pronostics intelligents. Cette méthodologie inclura deux aspects : une approche pronostic générique hybride (mécanismes de dégradation, données diagnostiques et connaissances d’expert) et des méthodologies d’aide à la décision (analyse des incertitudes du modèle, sélection d’algorithmes IA, génération d’indicateurs ciblés). Ceci permettra […]