In commercial batteries, metal anode-based batteries, mainly using zinc or lithium as the anode, provide higher battery capacity than traditional metal ion batteries. Lithium metal anodes have a theoretical specific capacity 10 times higher than commercial lithium ion batteries with graphite as the anode. Zinc anodes are excellent anodes for use in aqueous batteries, because they offer the highest energy density of all aqueous battery systems and low cost.
Modern electric power systems are complicated, large-scale dynamical systems that need specialized tools and techniques for their computer modeling and simulation. This is due to the unprecedented penetration of renewable energy sources and use of high-frequency power electronic converters. This proposal aims to develop algorithms and methods for co-simulation of modern power systems using dynamic phasor and electromagnetic transient (EMT) type simulators.
In order to move towards a sustainable future, it is essential to develop environmentally friendly fuels for energy production. Hydrogen and ammonia are promising candidates for clean fuels as they do not harm the environment when utilized as fuels. Ammonia is one of the leading chemicals produced throughout the world. However, the hydrogen gas required in ammonia synthesis is produced from carbon entailing natural gas that results in various environmental detriments.
Electric power is almost entirely transmitted through polymer insulated cables or wires in every home, factory, plant or apparatus. If the temperature of a cable increases, it would be an indication that some accidents or malfunctions such as inflow of excess electric current occur in the cable. The generated heat, indeed, degrades the polymer insulations in cable, thus, making it unsuitable and unsafe for extra service. Therefore, it would be markedly valuable if the thermally-degraded portion in a cable can be located precisely without destroying the cable.
The Mercedes-Benz Fuel Cell Division (MBFC) in Burnaby, Canada develops and runs the manufacturing processes required for the assembly of Fuel Cell Stacks prototypes. MBFC uses the Manufacturing Execution System (MES) to collect and analyse data from the manufacturing lines to the database system. However, because the size of the collected data is very large, MBFC is not able to detect certain fuel cell defects in a timely manner and sometimes not at all.
The past few decades have witnessed the unprecedented development of aqueous rechargeable batteries and there are many scientific groups focusing their interest on this energy technology research field. Ideal active electrode materials and plain economic considerations are the critical factors in the design of batteries. Among them, Fe//MnO2 aqueous battery is one of the best candidates because of lower cost, high safety and eco-friendliness. In addition, improved conductivity and better cycle performance can be obtained by carbon coating.
This project aims at applying the technique of Model Predictive Control (MPC) to control the thermostatic loads in HVAC systems in the context of smart buildings. The main objective of this project is to verify the capability of MPC-base control schemes developed in academic research projects with a real system operated by Fusion in terms of energy efficiency improvement and operational cost reduction. In the first phase, the model of a candidate building will be established and validated for the controller design.
Conventional power systems are based upon ac voltages and currents. Connecting these systems is a simple matter and is done using transformers. Modern power systems wherein renewable energy sources are increasingly deployed often include dc voltages and currents. Connecting these systems is more challenging as conventional transformers will not be applicable. The proposed research is aimed at investigating and evaluating options for linking and interconnecting dc power systems. Power electronics is the enabling technology for achieving dc system interconnections.
Nuclear power plants provide stable, carbon-free electricity to Canadians. In order to ensure their safe operations, materials in the reactors must be characterized on a regular basis. This project aims at developing an Artificial Intelligence—an artificial neural network—with the aim of automating the indentification of helium bubbles in Ni-based alloys currently in use in Canadian Nuclear power plants. These bubbles have a diameter of the order of nanometers, and can be observed using transmission electron microscopes. Currently, the analysis of the micrographs is done manually.
The widespread use of phasor measurement units (PMUs) in power-grids can greatly enhance state-estimation (SE) by making use of accurate, GPS time-stamped synchronous phasor measurements. Unlike conventional SCADA measurements which are reported every 4 seconds, synchro-phasor measurements are typically available as frequently as 30-60 measurements per second. While the availability of more measurements can provide accurate state estimates in real-time, the sheer amount of data can overwhelm the computational capabilities of most data processing systems.