부산대학교 도서관

This paper describes several analytical techniques for obtaining pure end-use load information from mixed end-use consumption data. This process is frequently necessary to make metered data useful to those involved in electric utility load forecasting and conservation assessment. Analyses based on traditional thermal models can be greatly augmented by these data sets if the measured entities correspond to those for which modeled estimates are necessary. We present two scenarios in which greater end-use resolution was needed than was available in existing data. The first involves segregating measured total HVAC consumption data into its heating, cooling, and ventilation constituents. The second discusses a technique to separate measurements of mixed equipment consumption into equipment type categories. These techniques were successfully applied to a large number of metered commercial buildings. We conclude with suggestions for extending these techniques to applications involving high-time-resolution building total data. 3 refs., 8 figs.