The development of a simulation tool that can accurately characterize the energy performance of the Canadian housing stock would enable detailed studies to predict the impact of energy saving upgrades and technologies on a national scale. Such a tool requires a detailed database of house descriptions that collectively represent the entire housing stock. Such a database has been assembled by selectively extracting measured and observed data collected by professionals who conducted on-site audits of 200,000 houses. The auditors' data were extracted to statistically match key parameters (location, house type, vintage, geometry and heating system) with a broad-based random survey of the Canadian stock. The result is a database comprised of nearly 17,000 detailed records of single-detached, double and row houses. Each of these house records represents 500 houses in the Canadian stock and contains sufficient data to enable the accurate characterization of its energy performance through building performance simulation.

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Journal of Building Performance Simulation
Department of Mechanical and Aerospace Engineering

Swan, L.G. (Lukas G.), Ugursal, V.I. (V. Ismet), & Beausoleil-Morrison, I. (2009). A database of house descriptions representative of the Canadian housing stock for coupling to building energy performance simulation. Journal of Building Performance Simulation, 2(2), 75–84. doi:10.1080/19401490802491827