Application of an End-Use Disaggregation Algorithm for Obtaining Building Energy-Use Data

[+] Author and Article Information
H. Akbari, S. J. Konopacki

Energy Analysis Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720

J. Sol. Energy Eng 120(3), 205-210 (Aug 01, 1998) (6 pages) doi:10.1115/1.2888070 History: Received May 01, 1998; Revised May 01, 1998; Online February 14, 2008


Metered end-use data for most Department of Defense (DoD) facilities are scarce. We discuss the application of a method (end-use disaggregation algorithm, EDA) to disaggregate short-interval (hourly) whole-facility electrical load into major end uses. Hourly load data, hourly load-temperature regression coefficients, and simulated end-use data comprise the algorithm input. The algorithm produces hourly load profiles for air conditioning, lighting, fans and pumps, and miscellaneous loads. In previous studies, the EDA has been applied to both individual and prototypical buildings to estimate energy use by end use for two major California utilities. In this study, we have refined the EDA for application to DoD facilities where typically only the hourly electricity use data are available for the entire facility.

Copyright © 1998 by The American Society of Mechanical Engineers
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