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Digital Data Analysis and Modeling Platform for Decarbonizing the Built Environment (Tools4Cities - CityLayers)

Key project details

Principal investigator Yann-Gaël Guéhéneuc, professor, Computer Science and Software Engineering, Concordia University

Co-principal investigators

Ursula Eicker, professor, Building, Civil, and Environmental Engineering, Canada Excellence Research Chair in Smart, Sustainable and Resilient Cities and Communities, Concordia University; Liangzhu (Leon) Wang, professor, Building, Civil, and Environmental Engineering, Concordia University; Michaël Kummert, professor, Mechanical Engineering, Polytechnique Montréal; Francesco Ciari, associate professor, Civil, Geological and Mining Engineering Polytechnique Montréal

Research collaborators

Darwish Darwazeh, Sophie Lalonde, Jonathan Théoret, Victor Poudelet, Polly Hudson, Stéphanie Simard, Lise Laforce
Non-academic partners Bureau de la Transition Écologique et la Résilience and Service Gestion et Planification Immobilière (Ville de Montreal), Propulsion Quebec, National Research Council Canada, Opal-RT, Opal-DD
Research Keywords Digital twin, community energy projects, digital platform, building simulation, energy efficiency, electrification of transportation, cross-sector electricity co-management, urban planning, management strategies, electrical vehicles
Budget Cash: $250,000 In-Kind: $365,000

Research focus

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. The image shows a software interface with main layers and services listed on the left side, including options for 'Built Environment', 'Transport', 'Energy', 'Waste' and 'Ecosystem'.

Digital Twins

This projects seeks to create digital twins of buildings or communities, providing a detailed digital replica that can be used for various purposes, such as simulation, analysis and decision-making. In this research project, digital twins play a pivotal role in developing a platform for data aggregation, aiding decision-making at municipal and building portfolio levels. They facilitate comparison of GHG emissions intensity, enabling building owners to plan emissions reduction effectively.

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Scenario analysis, validation and road mapping

The research emphasizes the importance of detailed scenario analysis and validation using monitoring data from core projects. It aims to provide a toolset in the form of a platform for analyzing scenarios and validating their feasibility. Additionally, the project aims to deliver a roadmap for decarbonization, allowing for the design and evaluation of scenarios. 

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Community livability, affordability and inclusivity

Beyond achieving zero emissions, the research emphasizes the importance of creating communities that are livable, affordable and inclusive. This includes ensuring access to amenities such as green spaces, schools and healthcare services, as well as promoting mixed-income housing to guarantee diverse neighborhoods. Sustainable mobility options and public transit accessibility are also highlighted as crucial factors in enhancing community affordability and inclusivity.

Non-academic partners

Thank you to our non-academic partners for your support and trust.

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