Development and Demonstration Engine Technology for Class 8 Heavy Duty Trucks Fueled by Waste Hydrogen

Hydra Energy Corporation Commercial Demonstration Project will be based in Prince George, British Columbia 12.4 MT/day of waste hydrogen will be captured, purified and transported to an onsite hydrogen refueling station from which (at least) 53 Class 8 tractor-trailer trucks will refuel daily. Hydra’s demonstration project can provide a significant reduction in fleet greenhouse gas(GHG) emissions, Particulate Matter and other air emissions. Hydra is currently testing the first prototype dual-fuel hydrogen/diesel heavy-duty class 8 truck in North America.

Elimination of Emerging Contaminants in Wastewater by Electrical Plasma-Membrane Technologies Hybridization Method

Medication used everyday to help cure various diseases, or even alleviate pain, ends up in the sewage system due to the less than perfect consumption of these medicines in the body and excretion of the unused portion. These compounds eventually find their way to the environment since the current treatment methods in wastewater treatment plants are not capable of complete elimination of pharmaceutical compounds. In the environment, pharmaceutical contaminants can harm aquatic species and potentially have negative effects on humans if they end up in drinking water sources.

Waste heat recovery in aluminium smelters: technical and economic analysis

Aluminium smelter are energy intensive and not particularly energy efficient, as most of the energy required to produce aluminium is lost along the production line. This is the reason why it is mandatory to perform a detailed analysis of the thermal wastes produced in these factories. The main objective of this project is to investigate the solutions to recover the thermal wastes and to convert them into useful power.

Development of new techniques for power system model validation and calibration

Dynamic modeling is one of the most important tools for the power system operation and planning purposes. In order to study the behavior of the system, which is subjected to disturbances, a valid knowledge of parameters of system components is essentially required. The objective of this project is to propose an applicable algorithm to identify the parameters of the power system components’ models. For the identification purpose, the actual power systems’ subsections data collected by phasor measurement units (PMUs) are employed.

Automatic Estimation of Walking Speed in Older Adults Using a Smartwatch

Walking speed is a fundamental indicator of health status in older adults that can be used for early detection of several chronic illnesses and smartwatches are promising tools for ambulatory measurement of walking speed. To address the problem of walking speed estimation in older adult using a smartwatch, arm swing motion during walking will be measured from older adults living in a long-term care facility. Mathematical models will be developed to automatically map arm swing motion to walking speed.

Portable Sensor for rapid, onsite detection of bacteria in water

Harmful bacteria in drinking water can be a great threat to humans, causing diseases and possibly death. This project is aimed at determining the safety of drinking water for consumers, especially in communities where access to sophisticated laboratory facilities is limited. This research project will help to further develop a portable bacteria sensor for water, capable of determining the presence of harmful bacteria in water. The technology will offer faster analysis than the typical 1-2 day water analysis for bacteria.

Investigation and development of an air-core dry-type reactor noise prediction model

Air-core dry-type electrical reactors are integrated into power system infrastructures to limit current and regulate voltage in transmission lines. These reactors, are designed and built to facilitate customer specific requirements using an elementary noise prediction model, which was developed almost 30 years ago. With increasingly stricter noise emission guidelines set by the environmental regulatory bodies, the need to better predict and meet specific noise requirements has become more important to the design and manufacturing of the reactors.

Development Of A Machine Condition Monitoring Platform Using A Wireless Sensor Network

Machine maintenance is a necessary task to keep production lines or individual machines running in a healthy condition. Predictive Maintenance (PdM) can effectively reduce maintenance cost and machine down time. However, it requires online machine condition monitoring systems to obtain the relevant parameters of the machines.

Novel Elastomeric Chitin Nanocomposites for Coatings and Adhesives

The proposed project is a characterization study on chitin nanowhisker nanocomposites. Chitin nanowhiskers are derived from chitin, a naturally occurring biopolymer found in arthropod exoskeletons, and offer great potential for reinforcement and property enhancement once blended with typical engineering plastic matrices. Compared to traditional inorganic fillers such as carbon nanotubes and graphene, chitin nanowhiskers are biocompatible and biodegradable, exhibiting comparable property improvements with none of the downsides of the inorganic materials (i.e. biohazardous, toxic).

Evaluation of additive manufacturing technology for the fabrication of wind-tunnel model parts featuring static pressure channels

The objective of the proposed project is to evaluate the use of additive manufacturing technology for the fabrication of wind-tunnel model parts featuring static pressure channels. The long-term aim of this research to devise an innovative manufacturing process that reduces the cost and lead time required to fabricate aerodynamic wind-tunnel models. The suggested methodology is to test the transient response time of pressure channels manufactured with additive technology and to compare it with those manufactured using classical machining.