Application of an End-Use Disaggregation Algorithm for Obtaining Building Energy-Use Data-Reference-Cited by-同舟云学术

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

Published:1998-08-01 Issue:3 Volume:120 Page:205-210
ISSN:0199-6231
Container-title:Journal of Solar Energy Engineering
language:en
Short-container-title:

Author:

Akbari H.¹,Konopacki S. J.¹

Affiliation:

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

Abstract

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.

Publisher

ASME International

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

http://asmedigitalcollection.asme.org/solarenergyengineering/article-pdf/120/3/205/5652255/205_1.pdf

Reference7 articles.

1. Akbari H. , 1995a, “Validation of an Algorithm to Disaggregate Whole-Building Hourly Electrical Load into End Uses,” Energy the International Journal, Vol. 20, No. 12, pp. 1291–1301.

2. Akbari, H., and Konopacki, S., 1995b, “End-use Energy Characterization and Conservation Potentials at DoD Facilities: An Analysis of Electricity Use at Fort Hood, Texas,” Lawrence Berkeley National Laboratory Report LBL-36974, Berkeley, CA 94720.

3. Akbari, H., Eto, J., Konopacki, S., Afzal, A., Rainer, L., and Heinemeier, K., 1993a, “Integrated Estimation of Commercial Sector End-Use Load Shapes and Energy Use Intensities in the PG&E Service Area,” Lawrence Berkeley National Laboratory Report LBL-34263, Berkeley, CA 94720.

4. Akbari, H., Rainer, L., Heinemeier, K., Huang, J., and Franconi, E., 1993b, “Measured Commercial Load Shapes and Energy-use Intensities and Validation of the LBL End-use Disaggregation Algorithm,” Lawrence Berkeley National Laboratory Report LBL-32193, Berkeley, CA.

5. Akbari, H., Rainer, L., and Eto, J. H., 1991, “Integrated Estimation of Commercial Sector End-use Load Shapes and Energy Use Intensities, Phase II,” Lawrence Berkeley National Laboratory Report LBL-30401, Berkeley, CA 94720.

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