The proposed project tries to leverage the increased access to smart IoT devices in residential homes. Data acquired from these devices hide insights on home use patterns, and if understood have the potential to reduce energy, water and other resource usage in homes and improve the overall quality of life (better thermal and visual comfort) across different seasons for occupants. A framework for adaption of everyday homes into smart entities is to be developed with proof-of-concept algorithms and visualization platforms to test how these solutions can aid residential cost savings.
Combining design and digital workflows, pre-fabrication, and automated assembly provides a rare opportunity for the AEC industry to unite three critical construction items that have traditionally been at odds with one another: Time, Cost and Quality.
In response to the current housing crisis, we are studying the effectiveness of tiny homes as a solution to transitional housing for housing insecure persons in the Region of Waterloo. We have completed an earlier phase of this research which produced a Tiny House prototype and propose to continue this research through the following two streams: A. Developing governance, financing and procurement strategies for a tiny home community in Cambridge through consultation with local partners. B.
Digital Workflows for Adaptive Reuse of Historic Houses in Ottawa’s downtown (Canada) will explore newapplications of emerging digital technologies for the rehabilitation of our built heritage, especially in producingrecords relevant for the understanding of the historic fabric of residential buildings in Ottawa. Good decision inheritage conservation relay on accurate and precise information about the building’s fabric and structure.
The aim of the proposed project is to analyze and develop a conceptual design of a greenhouse that’ll be able to repurpose the waste heat expelled from Growcer’s container farms. As there is a lot of research on related topics such as hydroponic container farming and greenhouse farming, there is still a lack of research conducted on merging the two systems into one.
This project will study different residential building retrofit strategies commonly used in Ontario in terms of their environmental performance. In particular, it will try to understand the embodied and operation carbon emissions associated with those strategies. The aim of this project is to understand the effect of using different material and systems in retrofit projects. This understanding is important in order to complement governmental and private efforts in reducing the environmental impacts of buildings.
In the context of a global increase in waste production and waning natural resources, this research intends to promote the shift to a circular economy in the Ontario construction industry. The work includes a literature review, an industry survey, structured interviews, and a period of testing assessment tool(s) with real projects for local use. The final output will be a master’s thesis indicating the surveyed industry views on the circular economy, perceived barriers and drivers to change, and recommendations for change.
Introduced Phragmites australis (common reed) is one of the most invasive plants in North America. The weed reduces native plant and animal diversity, disrupts ecosystem processes, and poses a threat to the native North American subspecies of common reed, P. australis ssp. americanus. Conventional methods for controlling introduced P. australis such as herbicides, cutting, and burning are prohibitively expensive, harmful to non-target species, and have seen little success.
The proposed research will involve studying the carbon footprint (i.e. the carbon emissions) involved in the preparation of magnesium oxychloride (MOC) cement materials. MOC cement has been proposed as a more environmentally friendly alternative to traditionally used Portland cement (PC), however many discrepancies arise as there is no work directly comparing their carbon footprints. In addition, the work will determine the lifecycle assessment of MOC cement and PC.
IR imaging presents the temperature distribution of the exterior surface of a wall and is typically assessed through visual inspection by building science experts. A specialist must review numerous images one by one which is inefficient and inaccurate. The use of Unmanned Aerial Vehicles (UAVs) with IR camera attachments has become a method of faster and more accessible on-site building envelope evaluation. The proposed research aims to develop a machine learning framework to improve the evaluation of energy loss through the envelope, using UAV and IR thermography.