Building energy information systems: Synthesis of costs, savings, and best-practice uses
Abstract
Building energy information systems (EIS) are a powerful customer-facing monitoring and analytical technology that can enable up to 20 % site energy savings for buildings. Few technologies are as heavily marketed, but in spite of their potential, EIS remain an underadopted emerging technology. One reason is the lack of information on purchase costs and associated energy savings. While insightful, the growing body of individual case studies has not provided industry the information needed to establish the business case for investment. Vastly different energy and economic metrics prevent generalizable conclusions. This paper addresses three common questions concerning EIS use: what are the costs, what have users saved, and which best practices drive deeper savings? We present a large-scale assessment of the value proposition for EIS use based on data from over two-dozen organizations. Participants achieved year-over-year median site and portfolio savings of 17 and 8 %, respectively; they reported that this performance would not have been possible without the EIS. The median 5-year cost of EIS software ownership (up-front and ongoing costs) was calculated to be $1800 per monitoring point (kilowatt meter points were most common), with a median portfolio-wide implementation size of approximately 200 points. In this paper, we presentmore »
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- Building Technology & Urban Systems; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
- OSTI Identifier:
- 1363638
- Alternate Identifier(s):
- OSTI ID: 1379100
- Report Number(s):
- LBNL-1006431
Journal ID: ISSN 1570-646X; ir:1006431
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energy Efficiency
- Additional Journal Information:
- Journal Volume: 9; Journal Issue: 6; Journal ID: ISSN 1570-646X
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY, AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; energy efficiency; energy information systems; commercial buildings; costs and savings; best practices
Citation Formats
Granderson, Jessica, and Lin, Guanjing. Building energy information systems: Synthesis of costs, savings, and best-practice uses. United States: N. p., 2016.
Web. doi:10.1007/s12053-016-9428-9.
Granderson, Jessica, & Lin, Guanjing. Building energy information systems: Synthesis of costs, savings, and best-practice uses. United States. https://doi.org/10.1007/s12053-016-9428-9
Granderson, Jessica, and Lin, Guanjing. Fri .
"Building energy information systems: Synthesis of costs, savings, and best-practice uses". United States. https://doi.org/10.1007/s12053-016-9428-9. https://www.osti.gov/servlets/purl/1363638.
@article{osti_1363638,
title = {Building energy information systems: Synthesis of costs, savings, and best-practice uses},
author = {Granderson, Jessica and Lin, Guanjing},
abstractNote = {Building energy information systems (EIS) are a powerful customer-facing monitoring and analytical technology that can enable up to 20 % site energy savings for buildings. Few technologies are as heavily marketed, but in spite of their potential, EIS remain an underadopted emerging technology. One reason is the lack of information on purchase costs and associated energy savings. While insightful, the growing body of individual case studies has not provided industry the information needed to establish the business case for investment. Vastly different energy and economic metrics prevent generalizable conclusions. This paper addresses three common questions concerning EIS use: what are the costs, what have users saved, and which best practices drive deeper savings? We present a large-scale assessment of the value proposition for EIS use based on data from over two-dozen organizations. Participants achieved year-over-year median site and portfolio savings of 17 and 8 %, respectively; they reported that this performance would not have been possible without the EIS. The median 5-year cost of EIS software ownership (up-front and ongoing costs) was calculated to be $1800 per monitoring point (kilowatt meter points were most common), with a median portfolio-wide implementation size of approximately 200 points. In this paper, we present an analysis of the relationship between key implementation factors and achieved energy reductions. Extent of efficiency projects, building energy performance prior to EIS installation, depth of metering, and duration of EIS were strongly correlated with greater savings. We also identify the best practices use of EIS associated with greater energy savings.},
doi = {10.1007/s12053-016-9428-9},
journal = {Energy Efficiency},
number = 6,
volume = 9,
place = {United States},
year = {Fri Feb 19 00:00:00 EST 2016},
month = {Fri Feb 19 00:00:00 EST 2016}
}
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Works referenced in this record:
Building energy information systems: user case studies
journal, June 2010
- Granderson, Jessica; Piette, Mary Ann; Ghatikar, Girish
- Energy Efficiency, Vol. 4, Issue 1
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
journal, March 1947
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- The Annals of Mathematical Statistics, Vol. 18, Issue 1
Building Energy Information Systems: State of the Technology and User Case Studies
report, October 2009
- Granderson, Jessica; Piette, Mary Ann; Ghatikar, Girish
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