PNNL

Abstract

Most commercial buildings in the U.S. are required by State or local jurisdiction to meet energy standards. The enforcement of these standards is not well known and building practice without them on a national scale is also little understood. To provide an understanding of these issues, a database has been developed at PNNL that includes detailed energy related building characteristics of 162 commercial buildings from across the country. For this analysis, the COMcheck™ compliance software (developed at PNNL) was used to assess compliance with energy codes among these buildings. Data from the database for each building provided the program input with percentage energy compliance to the ASHRAE/IESNA Standard 90.1-1999 energy as the output. During the data input process it was discovered that some essential data for showing compliance of the building envelope was missed and defaults had to be developed to provide complete compliance information. This need for defaults for some data inputs raised the question of what the effect on documenting compliance could be due to missing data. To help answer this question a data collection effort was completed to assess potential differences. Using the program Dodge View, as much of the missing envelope data as possible was collected from the building plans and the database input was again run through COMcheck™. The outputs of both compliance runs were compared to see if the missing data would have adversely affected the results. Both of these results provided a percentage compliance of each building in the envelope and lighting categories, showing by how large a percentage each building either met or fell short of the ASHRAE/IESNA Standard 90.1-1999 energy code. The results of the compliance runs showed that 57.7 % of the buildings met or exceeded envelope requirements with defaults and that 68 % met or exceeded envelope requirements with the actual data. Also, 53.6 % of the buildings met or surpassed the lighting requirements in both cases. The dataset of 162 buildings is not large enough to accurately apply theses findings to all commercial buildings across the U.S., but it does provide a rough idea of what to generally expect. This database also has other uses such as characterization of commercial buildings by each specific data point and in splitting up the total of 162 buildings into smaller subsets to characterize such groups as large (>5000 sq ft) or small (