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.
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August 1998
Research Papers
Application of an End-Use Disaggregation Algorithm for Obtaining Building Energy-Use Data
H. Akbari,
H. Akbari
Energy Analysis Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720
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S. J. Konopacki
S. J. Konopacki
Energy Analysis Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720
Search for other works by this author on:
H. Akbari
Energy Analysis Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720
S. J. Konopacki
Energy Analysis Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720
J. Sol. Energy Eng. Aug 1998, 120(3): 205-210 (6 pages)
Published Online: August 1, 1998
Article history
Revised:
May 1, 1998
Received:
May 1, 1998
Online:
February 14, 2008
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Citation
Akbari, H., and Konopacki, S. J. (August 1, 1998). "Application of an End-Use Disaggregation Algorithm for Obtaining Building Energy-Use Data." ASME. J. Sol. Energy Eng. August 1998; 120(3): 205–210. https://doi.org/10.1115/1.2888070
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