articleNature CommunicationsJul 14, 2024GOLD OA

Potential of artificial intelligence in reducing energy and carbon emissions of commercial buildings at scale

Lawrence Berkeley National Laboratory

PubMed
Indexed incrossrefdoajpubmed

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

125
total citations
FWCI
30.15
Percentile
100%
References
31
Citations per year

Authors

5

Topics & keywords

Keywords
  • Scale (ratio)
  • Greenhouse gas
  • Environmental science
  • Carbon fibers
  • Computer science
  • Ecology
  • Biology
  • Physics
UN Sustainable Development Goals
  • Affordable and clean energy
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