• Media type: E-Article
  • Title: Forecasting macro-energy demand accounting for time-use and telework
  • Contributor: Phoung, Sinoun [Author]; Hittinger, Eric [Author]; Guhathakurta, Subhrajit [Author]; Williams, Eric [Author]
  • Published: 2024
  • Published in: Energy strategy reviews ; 51(2024) vom: Jan., Artikel-ID 101264, Seite 1-15
  • Language: English
  • DOI: 10.1016/j.esr.2023.101264
  • Identifier:
  • Keywords: Time-use ; IPAT model ; Decomposition analysis ; Energy demand forecast ; Telework ; Behavioral changes ; Aufsatz in Zeitschrift
  • Origination:
  • Footnote:
  • Description: Behavioral changes due to digitalization, such as telework, shifted energy demand, especially during COVID-19. Behavioral changes are often overlooked in macro-demand forecasts. This study forecasts macro-energy use to 2030 using American Time Use Survey and national energy data from 2003-2019. It examines and explains residential, non-residential, and transportation sectors through efficiency, technology characteristics (e.g., home floor area), and usage (time-use). Results showed that improved efficiency had the largest effect on energy demand per capita in all sectors from 2003-2019. The time-use (behavior) effect was strongest in non-residential buildings, resulting in a net energy reduction of -9%, decomposed into increased in floor area (+24%), improved efficiency (-26%), and reduced time-use (-7%). In forecasting, two potential effects of telework on energy use in 2030 were explored: (1) temporary shift in telework due to COVID-19 (14% teleworking in 2030) and (2) permanent shift in telework that increases with historical trends (34%). The permanent shift resulted in 3.6% less energy demand per capita in 2030. Reduced time-use of non-residential buildings had the largest effect on decreasing energy demand, -29%, with +8.5% from residential energy use, -7.5% from transportation, yielding a net -28% energy use per teleworker. Alternate perspectives are needed to corroborate results.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)