Abstract
The Building Efficiency Targeting Tool for Energy Retrofits (BETTER) V.1.0 web application identifies cost-saving energy and emissions reductions in buildings and portfolios, without site visits or complex modeling. With minimal data entry, BETTER benchmarks a building's or portfolio's energy use against peers; quantifies energy, cost, and greenhouse gas (GHG) reduction potential; and recommends energy efficiency measures for individual buildings or portfolios, targeting specific energy savings levels. The source code of BETTER's modular, cross-platform analytical engine has previously been disclosed (2019-001) and is available on GitHub and can be adopted, redeveloped, and redistributed freely under an open-source license, allowing users to incorporate BETTER's analytical capabilities into their own software platforms and tools. The BETTER V.1.0 web application, developed with the Django web-framework and the Model-View-Controller (MVC) architecture being disclosed here, provides a graphical user interface (GUI) for any user to view the software tutorials, download and upload a data entry template, configure and run the BETTER analyses, and view the final analytical reports.
- Developers:
-
Szum, Carolyn [1] ; Zhou, Nan [1] ; McQuillen, Daniel [1] ; Ding, Chao [1] ; Li, Han [1]
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Release Date:
- 2021-07-27
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Licenses:
-
Other (Commercial or Open-Source): https://sites.google.com/lbl.gov/2021-127/landing-page
- Sponsoring Org.:
-
Johnson Controls, IncPrimary Award/Contract Number:AWD3535USDOEPrimary Award/Contract Number:AC02-05CH11231
- Code ID:
- 61318
- Site Accession Number:
- 2021-127
- Research Org.:
- McQuillen Interactive Pty LtdLawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Country of Origin:
- United States
Citation Formats
Szum, Carolyn, Zhou, Nan, McQuillen, Daniel, Ding, Chao, and Li, Han.
Building Efficiency Targeting Tool for Energy Retrofits (BETTER) Web Application (BETTER Web App) v1.0.
Computer Software.
Johnson Controls, Inc, USDOE.
27 Jul. 2021.
Web.
doi:10.11578/dc.20210729.1.
Szum, Carolyn, Zhou, Nan, McQuillen, Daniel, Ding, Chao, & Li, Han.
(2021, July 27).
Building Efficiency Targeting Tool for Energy Retrofits (BETTER) Web Application (BETTER Web App) v1.0.
[Computer software].
https://doi.org/10.11578/dc.20210729.1.
Szum, Carolyn, Zhou, Nan, McQuillen, Daniel, Ding, Chao, and Li, Han.
"Building Efficiency Targeting Tool for Energy Retrofits (BETTER) Web Application (BETTER Web App) v1.0." Computer software.
July 27, 2021.
https://doi.org/10.11578/dc.20210729.1.
@misc{
doecode_61318,
title = {Building Efficiency Targeting Tool for Energy Retrofits (BETTER) Web Application (BETTER Web App) v1.0},
author = {Szum, Carolyn and Zhou, Nan and McQuillen, Daniel and Ding, Chao and Li, Han},
abstractNote = {The Building Efficiency Targeting Tool for Energy Retrofits (BETTER) V.1.0 web application identifies cost-saving energy and emissions reductions in buildings and portfolios, without site visits or complex modeling. With minimal data entry, BETTER benchmarks a building's or portfolio's energy use against peers; quantifies energy, cost, and greenhouse gas (GHG) reduction potential; and recommends energy efficiency measures for individual buildings or portfolios, targeting specific energy savings levels. The source code of BETTER's modular, cross-platform analytical engine has previously been disclosed (2019-001) and is available on GitHub and can be adopted, redeveloped, and redistributed freely under an open-source license, allowing users to incorporate BETTER's analytical capabilities into their own software platforms and tools. The BETTER V.1.0 web application, developed with the Django web-framework and the Model-View-Controller (MVC) architecture being disclosed here, provides a graphical user interface (GUI) for any user to view the software tutorials, download and upload a data entry template, configure and run the BETTER analyses, and view the final analytical reports.},
doi = {10.11578/dc.20210729.1},
url = {https://doi.org/10.11578/dc.20210729.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210729.1}},
year = {2021},
month = {jul}
}