2 A Multi-Objective Optimization Environment for Analysis of Passive Energy Conservation Measures in a Toronto HouseĀ (OR-16-C072)

Matthew Tokarik, Ryerson University
Advancements in whole building energy modeling have coincided with the demand for improved building energy performance and have become a useful tool in determining optimal configurations of energy saving measures on the path to net zero building. This study presents a multi-objective optimization environment in which passive energy conservations measures of a high performance house in Toronto are evaluated for life cycle cost and performance. The main objective of the study was to identify economically efficient design solutions that may be used to inform future efficient housing design and housing performance standards.

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