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.
Automatic harvesting of mushroom produce is a promising opportunity for mushroom growers to increase their revenues. This increased revenue will be obtained through savings in human labour as well as the expected increase in yield and quality due to the consistency of automated solutions compared to manual ones. Automated harvesting solutions do already exist for many other crops such as apple, lime and tomatoes. However, the development of an automated harvesting solution for mushroom is much more challenging in which a commercial system still does not exist.
The research project aims to determine in what ways can investment in wastewater treatment better maximize environmental and economic benefits to enable sustainable community development. The research will include identifying, and analyzing areas of economic and environmental opportunity, including improved project management, energy capture and reuse, asset management, and repurposing of waste materials (biosolids and treated effluent). Data will be collected through review and analysis of GMF reports and interviews with municipalities.
This study builds upon our previous work, to identify and confirm key structural features for the implementation of community climate action plans in Canadian communities, through examining their relationship with plan outcomes (outcomes related to the plan goals, e.g., actual greenhouse gas reductions), and partner outcomes (outcomes the partners experience, such as improved reputation).
The smart hybrid DC-AC microgrid is an emerging technology with remarkable potential benefits such as (i) facilitating integration of distributed energy resources and renewables, (ii) improving reliability and quality of the electrical energy supplied to the consumers, (iii) increasing the efficiency of power generation, transmission, and distribution systems, and (iv) facilitating implementation of Electric Vehicle (EV) charging infrastructure.