The proposed research is a multi-disciplinary project, which aims at improving existing theories and developing innovative technologies to unlock Canadas oil and gas resources in a more sustainable way. Theoretical models derived from physics and mathematics are to be examined with real data, and new approaches will be developed to face the technical challenges. Mentorship and realistic field feedbacks from the industry are of great importance to the interns research work.
Nowadays maintenance has turned into a management-related field, and is capable of being a support for benefit(Cost reduction ).Several fundamental questions are arising including the identification of the most appropriate performance metrics in predictive maintenance and the recognition of relationship between this metrics and lean definition in order to have a better maintenance performance. It could
also be asked how a better understanding of these performance measures will contribute to improve the quality of managerial decisions.
The increased utilization of HVdc technology around the world has created the need for evaluating the reliability of power systems that contains HVdc facilities. For example, if the generation system is remote and it is connected to the load centre through HVdc links, the transmission may have a significant impact on the overall system reliability performance. Most of the research described in the existing literature focus on analyses of simple example power systems to illustrate the concepts, models and techniques in probabilistic reliability assessment of HVdc systems.
Significant scientific knowledge gaps remain with respect to nuclear power production and impacts on the environment and the community. Four specific research areas for interns have been identified to help resolve some of the issues or gaps in knowledge.
This project is concerned with the development of a novel commercial product for broadband low energy photon detection in the terahertz (THz) spectral range, lying between the traditional microwave and optical regions. Currently available THz detection techniques however are commonly limited to a narrow spectrum, typically below 3-4 THz.
Two out of five Canadians are expected to develop cancer and one out of four Canadians is expected to die from cancer. For treatment of Melanoma, a dangerous skin cancer, plasmonic photo-thermal therapy is applied for precisely localized plasmonic heating of gold nanoparticles to kill cancer. One of the major challenges in heating applications involves precise temperature measurements. Current approaches are inconvenient, inaccurate, or costly. Thus, there exists a need to develop non-contact and non-invasive temperature sensing technologies e.g.
We will develop an algorithm that uses subsurface images obtained by spectroscopic optical coherence omography (OCT), to estimate the remaining lifetime of high voltage transformer insulation paper. To allow uture almost instantaneous in-field estimation during transformer maintenance outages, this algorithm when sed with, e.g., a fiber-based spectroscopic OCT, should produce results in less than 5 seconds. Using existing ptical hardware, we will build a benchtop spectroscopic OCT setup to image both synthetically and in-field ged transformer insulation paper samples.
By incorporation of distributed power generation to passive distribution networks, these networks will change to active networks and the studies related to active networks should be considered for them. Disconnection of these networks from the upstream power system may let them operate in islanded mode (a micro-grid). One of the studies that should be considered is the transient stability. Due to the random parameters of micro-grids and active distribution networks, the most realistic method for transient stability analysis is the stochastic one.
This internship aims to develop a new computer method for simulation of large electric power systems. Simulation of these systems is challenging due to their complexity and size, which translates into massive computational loads. The new simulation method will be faster by using parallel computing, will be more customizable than existing methods, and will assist power system designers and operators to gain deeper insight into the operation of the power grid.
Reduction of energy consumption in every aspect of our daily life is considered to be the primary key to address the causes of global warming and resulting climate change. Buildings consume up to 40% of our total national energy requirement and thus increased energy efficiency of the built environment would certainly help mitigating the causes of climate change. Recent upgrades in National Energy Code for Buildings have recommended significantly higher energy efficiency and thus resulted in increasing the insulating values of walls, roofs, windows and attics.