Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

The current waste disposal cells at the Municipality of Roblin has been full. They have to design a new cell to receive more waste. This project is predicted to determine its feasibility through an environmental assessment in view of the proposed waste disposal cell. Moreover, the recycling program has been conducted in this region. However, […]

Aubigny is a small rural community where individuals are responsible for their septic systems. Being smaller lots and close to the Red River, the potential for environmental damage such as soil, surface and ground pollution could be there. If suitable wastewater treatment system could be installed in this community then there would also be potential […]

In public sector, the decision making of construction permitting can have direct impacts on the ongoing urban development. The efficiency and predictability of the review process is critical for municipalities to provide timely and accurate results to the public. As the review process is managed digitally with process data available, using data analytics to develop […]

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and very few companies around the world can artificially create them using adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies that has completed and is […]

Client risk is one of the major decisions in wealth management. Many of the client risk assessment methods that are used in wealth management are in-house developed on an ad-hoc basis. The objective of this research is to assess the validity and reliability of the risk assessments methods developed by RiskMetrics. This study will be […]

The COVID-19 pandemic led to an increased demand for disinfection solutions, including ultraviolet C (UVC) light technologies. UVC works by inactivating microorganisms and show a strong potential to break the chain of infection in hospitals and public settings. CleanSlate and the University of Toronto are exploring this potential by characterizing how the virus that causes […]

Drinking water utilities must maintain water quality in the face of unexpected shocks to the system as well as planned upgrades with unintended consequences. Failure to do so can result in significant threats to public health: the city of Flint, Michigan, for instance, experienced a water quality crisis after making changes to source water chemistry […]

Viscoelastic Coupling Dampers (VCDs) have been developed over the past 15 years at the University of Toronto and by Kinetica for use in multi-storey buildings constructed with conventional construction techniques (steel and concrete). It has been shown the VCDs improve the wind and seismic performance of these buildings, leading to safer, higher performing and more […]

This project aims at developing an innovative technology through the utilization of fish waste as substrates for biosurfactant production. Through the proposed approach, fish waste will be recovered into fishery peptone and being used as a nutrient substrate for the synthesis of biosurfactant products with promising market values. The outcomes of this project will directly […]

An early-stage design analysis methodology will be investigated for evaluating preliminary building envelope design alternatives using advanced computation and analysis tools. Design alternatives will be generated based on different envelope materials, structure, insulation types and window-to-wall ratios and evaluated based on selected metrics including energy use, daylighting, life cycle analysis and life cycle costing. A […]

This project aims to develop an itinerary demand forecasting model that can handle long-term and short-term forecasting and adjust its parameters under changing situations. General long-term prediction models are relatively precise because the context often remains stationary over time, but can not quickly adapt to unforeseen events, like the global pandemics. It is necessary to […]