Proprietary and research-backed computational tools developed to power smarter retrofit decisions, energy analysis, and decarbonization planning.
A machine-learning model that recommends optimal retrofit packages for Canadian housing archetypes. Trained on thousands of real building simulations, it accounts for climate zone, building vintage, construction type, occupancy, and budget to produce ranked retrofit packages with predicted energy savings and payback periods.
The Vertical City Weather Generator (VCWG) is a software tool that predicts urban micro-climate and building performance variables in relation to a nearby rural climate, given the urban characteristics. VCWG predicts vertical profiles of temperature, wind speed, humidity, and turbulence kinetic energy as well as building energy performance metrics in an urban area.
A multi-objective optimization engine that simultaneously maximizes Marginal Owner Cost Saving, Marginal Government Cost Saving, and Total GHG emission reduction. Uses a micro genetic algorithm (MGA) to produce a Pareto frontier of retrofit options, letting clients visualize trade-offs between investment and impact before committing.