Paper Conference

Proceedings of eSim 2020: 11th Conference of IBPSA-Canada


Inference of Building Archetypes and Schedules from City of Victoria Open Data

Garrett Edward Sylva Therrien, Theodor Victor Christiaanse, Ralph Evins
University of Victoria, Canada

Abstract: Building-by-building modelling of districts using existing archetypes has become common practice for creating detailed district models. But, this technique scales poorly: detailed data on each building in a large area is usually non-existent or not publicly available. However, there are open data sources, such as zoning and building footprint area, commonly available from cities and municipalities that allow the assignment of archetypes. This paper presents a method using municipality open data sets and the Building Technology Assessment Program (BTAP) archetypes to create an urban district building stock model, enabling detailed analysis of a city’s building stock. The method developed will be demonstrated on City of Victoria open data, and the model will be verified by comparing daily electricity use.