Potential of artificial intelligence in reducing energy and carbon emissions of commercial buildings at scale
Lawrence Berkeley National Laboratory
Abstract
Artificial intelligence has emerged as a technology to enhance productivity and improve life quality. However, its role in building energy efficiency and carbon emission reduction has not been systematically studied. This study evaluated artificial intelligence's potential in the building sector, focusing on medium office buildings in the United States. A methodology was developed to assess and quantify potential emissions reductions. Key areas identified were equipment, occupancy influence, control and operation, and design and construction. Six scenarios were used to estimate energy and emissions savings across representative climate zones. Here we show that artificial intelligence could reduce cost…
Citation impact
- FWCI
- 30.15
- Percentile
- 100%
- References
- 31
Authors
5- CDChao DingCorresponding
Lawrence Berkeley National Laboratory
- KJKe Jing
Lawrence Berkeley National Laboratory
- MLMark Levine
Lawrence Berkeley National Laboratory
- JGJessica Granderson
Lawrence Berkeley National Laboratory
- NZNan Zhou
Lawrence Berkeley National Laboratory
Topics & keywords
- Scale (ratio)
- Greenhouse gas
- Environmental science
- Carbon fibers
- Computer science
- Ecology
- Biology
- Physics
- Affordable and clean energy