Date of Award

Fall 2011

Degree Type

Thesis

Degree Name

Master of Applied Science (MASc)

Department

Civil Engineering

Supervisor

Samir Chidiac

Language

English

Abstract

As energy costs continue to escalate and awareness spreads with regard to the importance of sustainability, interest in reducing energy consumption of buildings is growing. For managers of large stocks of office buildings, the task of selecting building improvement projects is most challenging. A multitude of energy conservation measures (ECMs) are available from which to select, however financial resources are limited and in high demand. Thus, ECMs must be known to be effective and prioritized so as to provide the highest benefit for the financial resources available.

The aim of this study is to provide a screening methodology for the evaluation and prioritization of ECMs for implementation in a stock of buildings that exhibit varying characteristics and locations. Prioritization of ECMs is based on predicted energy consumption savings and financial analysis. Building stocks are reduced to a manageable set by applying archetype classification. Energy consumption predictions for representative buildings from each archetype are obtained through use of a mathematical model. Twelve ECMs pertaining to improvements in the building envelope, HVAC, and electrical systems are considered and ranked based on present value over the short, mid, and long terms.

McMaster University Library


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