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Investigating Bundled Approaches To Reduce Greenhouse Gas Emissions in the Toronto 2030 District

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thesis
posted on 21.05.2021, 13:15 by Patrick Ritsma
Building energy models are an effective tool for evaluating energy reduction opportunities in both design phase and post-occupancy scenarios. By merging building energy models with city scale building stock data, it is possible to analyze energy performance at a greater breadth, providing more informed policy decisions and solutions to energy demand asymmetries in urban metropolises. This study examines the energy reduction potential for office buildings in the Toronto 2030 District, by testing individual and bundled energy conservation measures and greenhouse gas reduction strategies using a reference building energy model. When extrapolated across Toronto’s urban core, simulation results determined that standard interventions on the existing office building stock have the potential to reduce greenhouse gas emissions by as much as 91.5%, in line with 2030 District initiatives.

History

Editor

Ryerson University

Language

eng

Degree

Master of Building Science

Program

Building Science

Granting Institution

Ryerson University

LAC Thesis Type

Thesis

Thesis Advisor

Jennifer McArthur