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Title: Multifamily Envelope Leakage Model

“The cost for blower testing is high, because it is labor intensive, and it may disrupt occupants in multiple units. This high cost and disruption deter program participants, and dissuade them from pursuing energy improvements that would trigger air leakage testing, such as improvements to the building envelope.” This statement found in a 2012 report by Heschong Mahone Group for several California interests emphasizes the importance of reducing the cost and complexity of blower testing in multifamily buildings. Energy efficiency opportunities are being bypassed. The cost of single blower testing is on the order of $300. The cost for guarded blower door testing—the more appropriate test for assessing energy savings opportunities—could easily be six times that, and that’s only if you have the equipment and simultaneous access to multiple apartments. Thus, the proper test is simply not performed. This research seeks to provide an algorithm for predicting the guarded blower door test result based upon a single, total blower door test.
 [1] ;  [1]
  1. Consortium for Advanced Residential Buildings, Norwalk, CT (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
NREL/SR-5500-62675; DOE/GO-102015-4499
DOE Contract Number:
AC36-08GO28308; KNDJ-0-40342-04
Resource Type:
Technical Report
Resource Relation:
Related Information: Work performed by Consortium for Advanced Residential Buildings, Norwalk, Connecticut
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
Contributing Orgs:
Consortium for Advanced Residential Buildings, Norwalk, Connecticut
Country of Publication:
United States
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; residential; Residential Buildings; CARB; Building America; blower door testing; envelope leakage; single-family attached housing; multifamily apartments; guarded; unguarded; predicting fully guarded test results; empirical model; multi-linear regression model