Predicting Building Energy Consumption Using Machine Learning Methods: a Comparison

The aim of this project is to predict building energy consumption for next days. Firstly, we will collect several data such as weather data, time data, and historical energy consumption of the building. We will analyze the collected data to recognize the usage patterns of the building, for instance, the low and the high electricity consumption of building. After data analysis, we will apply several machine learning models to predict energy consumption of building, and finally all models will be compared to choose the outperform method.

Temperature measurement in suspension plasma spraying

In plasma spray, coating materials melted by the plasma heat source are sprayed onto a substrate to make a coating layer which can be highly resistance to thermal and mechanical shocks. It is of importance to accurately measure the velocity and temperature of the sprayed coating particles. These characteristics have a great impact on the thermal and mechanical properties of the coating products.

Developing Integrated Smart Home Controllers with Energy-Efficient HVAC Operation

AYO Smart Home is an integrator of new technologies to provide affordable and energy-efficient housing for First Nations communities across Canada. AYO manages the technology and supply chain to deliver Net-Zero houses consisting of efficient building envelopes, heat recovery systems, energy-efficient HVAC, LED lighting, mold-resistant materials, and smart home controllers.

Remediation of Contaminated Soil and Groundwater using Nanotechn

In recent years, the oil and gas industry has prioritized the remediation of residual and historical soil and groundwater contamination due In part to increased public awareness and media attention on the subject. As a result, in an effort to demonstrate social accountability and environmental sustainability, there has been a significant increase In the exploration and implementation of cost-effective and environmentally-friendly approaches for remediation of contaminated sites.

Analysis of the implementation of a Model-Based Systems Engineering approach for the conceptual design of advanced aircraft high-lift system architectures

Today, the development of complex products such as aircraft systems is still mainly based on a paper-based requirements and development process which leads to delays, cost overrun and sometimes failure to respond to customer needs. A structured, model-based design approach is considered promising to bring innovation and optimization in systems architectures. The project aims to demonstrate the value of a model-based systems engineering approach opposed to a traditional bottom-up approach for the example of advanced aircraft high-lift system architectures.

Unmanned Air Vehicles: Conformal Antenna and Shape Sensing in Flexible Aeroservoelastic Flight Demonstrators

QUATERNION has partnered with BOEING USA on a flight validation and evaluation program using Unmanned Aircraft System (UAS) to identify the operational system that replaces the 900MHz Autopilot Whip Antenna, integration of the printed antenna system into the UAS and related connectorization, fiber optic and strain gauge instrumentation in support of the shape prediction system and associated flight testing.

Improved Powder Production Processes: An Exploration of Atmospheric Spray Freeze Drying

This project will refine an existent technology developed by us for freeze-drying biological and medical solutions to produce powders. Freeze-dried bio-medical powders are used in pharmaceuticals as well as for food. The technology we will refine in this project is called atmospheric spray freeze drying (ASFD) and has the potential to be faster and more economical than current methods and to work for a wider variety of substances than allowed for by current methods. In this project, we will refine the monitoring and control components of the ADFD technology.

Utilization of Supersolidus Liquid Phase Sintering (SLPS) in Metal Injection Molding (MIM) for Superalloys in aerospace applications

Powder metallurgy uses metal powders to produce parts of varying complexity. The processes can generally be divided in two big steps. The first is to form the powder into the required shape. This is generally done by pressing or molding the powder. The second step is to consolidate the powder into a solid piece of metal. This is done by heating the formed powder just below its melting temperature. At this point the metal particles will slowly coalesce into a uniform metal structure.

Calibration of a Novel Orifice Plate Flow-meter

Accurate measurements of mass flow rate in a pipe is crucial to virtually every industrial process where a fluid is moved from place to place. The velocity measured in a pipe is often determined by measuring the pressure drop over an orifice plate. Once this orifice plate is properly calibrated, the velocity and in turn, the mass flow through the pipe can be calculated. A downside of the orifice plates is that the plates need to be calibrated. Proper calibration of the orifice plate is essential so that that mass flow rate can be accurately predicted using the pressure drop measurements.

Magneto-Rheological Actuator for Active Vehicle Suspensions - Year two

Increased interest in active vehicle suspensions has been shown in recent years as active suspensions improve ride comfort and handling over passive suspensions. Active suspensions replace passive fluidic dampers with highly controllable actuators to minimize transmission of road induced disturbances and actively control vehicle’s roll and pitch. However, integration of active suspensions in vehicles is hindered by conventional actuators that do not meet requirements of cost, bandwidth, weight, power consumption and reliability.