Abstract

<p>This research is an investigation into residential building airtightness. Its purpose is to establish a methodology to predict preconstruction airtightness in Canadian homes. The dissertation presented an analysis of a large, national blower door testing population, numbering over 900,000 low-rise detached homes. The relationship between airtightness and various building factors, such as; insulation levels, building size, and year of construction, is explored. Regressionbased models were found to be highly significant (p<<0.01) and explained up to 48% (R = 0.69, p<<0.01) of whole building airtightness. The national models’ scope was confined to predicting airtightness in existing homes with heterogeneous wall construction. In order to estimate preconstruction airtightness in conventionally constructed homes, a local blower door testing population of nearly 3000 homes was examined. Three builder-specific, geometricbased, temporally independent, multiple linear regression models were developed. Some of these builder-specific models were found to be strong, and explained over 58% (R = 0.79, p<<0.001) of whole building airtightness. A five variable, geometrically based model which controlled for handicraft was found to be very strong, explaining up to 73% (R = 0.87, p<<0.001) of the whole building airtightness. The regression-based analyses on the local population suggests that air leakage is prominent through two building details: the floor-to-wall details, and at the window-to-wall assemblies. An empirically based design of experiments was devised to quantify the impact of air leakage through a floor-to-wall detail. A very strong laboratory-based model explained up to 88% of the air leakage through the floor-to-wall joint (R = 0.95, p<<0.001). A builder-specific, temporally-independent model was combined with the empirically-based, floor-to-wall model to illustrate the applicability of the approach residential building designers. The synthesis of the two models resulted in a novel, whole building, preconstruction airtightness forecasting model. The dissertation demonstrated that airtightness in homes could be estimated with temporally independent, builder-specific, and geometrically-based preconstruction models. The estimation approach spurred models that were stronger in explanatory power, and industrial applicability as compared to previous airtightness models.</p>

Highlights

  • 1.1 Research ContextThe construction industry requires the capability to reasonably predict air leakage in buildings in order to build economical, comfortable, and durable spaces for people who use them

  • The 11 homes that were grouped into medium airtightness had R2=0.40, while the remaining three highly airtight homes has an R2=0.93.This study demonstrated that a new, single predictor variable, comprising of a ratio of primary predictors could be used as a better predictor when taken independently

  • Degree Days (HDD), was derived using the buildings municipal geographical location and ASHRAE Climate Data (ASHRAE, 2013, 2009) utilising 18oC as the datum. 3.2.3 Analysis Methodology The analysis considered any possible correlation between a dwellings Age, Volume, and Height as it related to both air leakage measures, ACH50 and normalised air leakage (NL)

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Summary

Introduction

1.1 Research ContextThe construction industry requires the capability to reasonably predict air leakage in buildings in order to build economical, comfortable, and durable spaces for people who use them. The rate of air leakage across exterior walls is a primary driver in establishing human comfort within an enclosed space Both high and low interior relative humidity levels are known to have adverse physiological actions on building occupants. Previous studies have included heterogenous wall construction type, climate zone, and a priori knowledge of the buildings’ general airtightness levels This phase of the research builds on current research by eliminating these traditional strong variables (i.e. build year, wall construction type) and develops strong predictor models using traditionally less strong variables. The results presented in this Chapter illustrate a methodology developed as part of this research through which designers could predict airtightness in light-framed, single-family homes at the preconstruction phase

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