An urban digital twin platform for urban sustainability and climate change mitigation

The world has experienced rapid urbanization and population growth in recent years, which resulted in increased energy consumption, GHG emission, and climate change. To avoid dangerous climate change, different countries such as Canada developed plans to achieve net-zero emission by 2050. Technology plays an essential role in achieving these objectives. Planete GreenLeaves is a web-based platform to reduce city energy consumption and carbon emission by optimizing the energy performance of buildings. We will accomplish this goal by integrating City scale simulation engines, AI techniques, and massive urban datasets in collaboration with universities and municipalities. By combining available public datasets, such as buildings geometry and information, weather data, etc., we create the initial digital twin of each building in the city. We model all buildings and create a user dashboard with several services such as detailed information about a building and recommendations and optimized solutions for optimizing the building’s energy performance.

Faculty Supervisor:

Paula Wood-Adams;Ursula Eicker

Student:

Partner:

V1 Studio

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program: