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Drivers of natural gas use in U.S. residential buildings.

Rohith Teja MittakolaPhilippe CiaisJochen E SchubertDavid MakowskiChuanlong ZhouHassan BazziTaochun SunZhu LiuSteven J Davis
Published in: Science advances (2024)
Natural gas is the primary fuel used in U.S. residences, yet little is known about its consumption patterns and drivers. We use daily county-level gas consumption data to assess the spatial patterns of the relationships and the sensitivities of gas consumption to outdoor air temperature across U.S. households. We fitted linear-plus-plateau functions to daily gas consumption data in 1000 counties, and derived two key coefficients: the heating temperature threshold ( T crit ) and the gas consumption rate change per 1°C temperature drop (Slope). We identified the main predictors of T crit and Slope (like income, employment rate, and building type) using interpretable machine learning models built on census data. Finally, we estimated a potential 2.47 million MtCO 2 annual emission reduction in U.S. residences by gas savings due to household insulation improvements and hypothetical behavioral change toward reduced consumption by adopting a 1°C lower T crit than the current value.
Keyphrases
  • room temperature
  • machine learning
  • carbon dioxide
  • big data
  • physical activity
  • electronic health record
  • air pollution
  • mental health
  • artificial intelligence
  • ionic liquid
  • deep learning