TY - JOUR
T1 - Elevated urban energy risks due to climate-driven biophysical feedbacks
AU - Li, Xinchang ‘Cathy’
AU - Zhao, Lei
AU - Qin, Yue
AU - Oleson, Keith
AU - Zhang, Yiwen
N1 - L.Z. acknowledges the support by the US National Science Foundation (CAREER award grant no. 2145362) and the Institute for Sustainability, Energy, and Environment at the University of Illinois Urbana-Champaign. We acknowledge the high-performance computing support from Cheyenne ( https://doi.org/10.5065/D6RX99HX ) provided by NSF NCAR Computational and Information Systems Laboratory, sponsored by the US National Science Foundation.
PY - 2024/10
Y1 - 2024/10
N2 - Climate-driven impacts on future urban heating and cooling (H&C) energy demand are critical to sustainable energy planning. Existing global H&C projections are predominantly made without accounting for future two-way biophysical feedbacks between urban climate and H&C use. Here, using a hybrid modelling framework we show that the prevalent degree-days methods misrepresent the magnitude, nonlinearity and uncertainty in the climate-driven projections of H&C energy demand changes due to the missing two-way feedbacks. We find a 220% increase (47% decrease) in cooling (heating) energy demand with amplified uncertainty by 2099 under a very high emission scenario, roughly twice that projected by previous methods. The spatially diverse H&C demand responses to the warming climates highlight the disparate challenges faced by individual cities and necessitate urban energy planning accounting for local climate–energy interactions. Our study underscores the critical necessity of explicit and dynamic modelling of urban H&C energy use for climate-sensitive energy planning.
AB - Climate-driven impacts on future urban heating and cooling (H&C) energy demand are critical to sustainable energy planning. Existing global H&C projections are predominantly made without accounting for future two-way biophysical feedbacks between urban climate and H&C use. Here, using a hybrid modelling framework we show that the prevalent degree-days methods misrepresent the magnitude, nonlinearity and uncertainty in the climate-driven projections of H&C energy demand changes due to the missing two-way feedbacks. We find a 220% increase (47% decrease) in cooling (heating) energy demand with amplified uncertainty by 2099 under a very high emission scenario, roughly twice that projected by previous methods. The spatially diverse H&C demand responses to the warming climates highlight the disparate challenges faced by individual cities and necessitate urban energy planning accounting for local climate–energy interactions. Our study underscores the critical necessity of explicit and dynamic modelling of urban H&C energy use for climate-sensitive energy planning.
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U2 - 10.1038/s41558-024-02108-w
DO - 10.1038/s41558-024-02108-w
M3 - Article
AN - SCOPUS:85203991515
SN - 1758-678X
VL - 14
SP - 1056
EP - 1063
JO - Nature Climate Change
JF - Nature Climate Change
IS - 10
ER -