A companion paper discusses various issues involved in baselining energy use at either the whole facility level or at the building level when monthly utility bills are available. It describes the variable-base degree-day (VBDD) and the monthly mean temperature (MMT) regression modeling approaches for normalizing energy use for changes in outdoor temperature from the baseline year to subsequent years, and it proposes statistical equations to determine prediction uncertainty for individual monthly and annual time intervals for change-point energy models whose residual variance is not constant. The objectives of this paper are to apply these concepts to monthly utility electricity and gas use data from eight Army installations nationwide, to evaluate the VBDD and the MMT approaches, and to discuss salient results of the analysis. Finally, we illustrate the use of a statistical method suggested in the companion paper whereby approximate read dates of the utility billing period can be identified in cases where such information is lacking.
|Original language||English (US)|
|Title of host publication||ASHRAE Transactions|
|Number of pages||12|
|State||Published - 1997|
ASJC Scopus subject areas
- Fluid Flow and Transfer Processes