This project will provide a detailed evaluation of the energy, water and labour requirements of the four different types of milking systems used in Nova Scotia. Nova Scotia currently has 36 robotic milking systems installed with more expected in the near future. It is generally considered that robotic systems use more water than free stall systems, however tie stall systems use less than free stall. If the industry is moving to high water use systems then such evaluations are important to ensure a sustainable and responsible approach to water use if achieved.
The proposed research will attempt to help residents reduce energy use in apartment buildings. The intern will provide residents with energy use feedback that shows their buildings energy use compared to a neighboring building. Buildings that reduce energy use will receive encouragement to continue conserving. The intern will work with two partnering utilities companies, FortisBC and BC Hydro. These partners will help provide energy use data for each building during the project.
Rio Tinto operates aluminium plants in Saguenay that are powered by their hydroelectric system. An efficient management of water available in the system is primordial to ensure energy supply to the aluminium smelters. This quantity is uncertain since the exact inflows in the reservoirs are unknown when decisions are taken. Stochastic optimization is used to make decisions under uncertainty. Mid-term optimization models determine reservoir volumes while short-term models dispatch the available water as efficiently as possible between the power plants and turbines in the system.
This project is designated to develop a next generation optimal two-dimensional energy management algorithm for a novel grid-connected thermal/electrical hybrid energy system. On-site implementation of the model and algorithm will be phased into a real community at an undisclosed location for performance evaluation.
In warm climates warm temperatures cause thermal stratification in hydropower reservoirs inhibiting mixing and leading to deoxygenation of waters at depth (hypolimnium). Turbines withdrawing water at depth result in low dissolved oxygen (DO) in the downstream flow having a large negative impact on the downstream riverine ecosystem. Legislation in the USA and elsewhere now requires hydropower operators to guarantee meeting minimum DO limits in downstream flows.
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.
Through the Mitacs internship program, the Nuclear Waste Management Organization (NWMO) is partnering with Western University researchers to build confidence in the lifetime of copper-coated steel containers, proposed as one of several barriers that will keep nuclear waste contained and isolated from the environment. The intern, Ms. Thalia Standish, will simulate the corrosion of copper-coated steel materials in a variety of conditions, followed by three-dimensional imaging using X-ray microtomography. Together with her supervisor, Dr. David Shoesmith, Ms.
Modelling the movement of water through a hydropower station is an important tool for understanding this very complex behaviour, where water is pushed and pulled through long tunnels and spinning turbines, resulting in a vast range of pressures and speeds. There are generally two types of models: 1-dimensional (1D) models, which are simple and cost-effective, but do not provide adequate detail for the more complex features in the power station. The second type is 3-dimensional (3D) models, which are very detailed but cost both time and money.
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.
Modern weather forecasts are made by computers that solve the complicated equations for air motion, heat, and moisture. Different computer codes, called weather models, use different atmospheric approximations, creating slightly different forecasts. This forecast diversity is good, because the average of all forecasts is often the most accurate, and the spread between forecasts measures uncertainty.