TY - JOUR
T1 - Large uncertainties in trends of energy demand for heating and cooling under climate change
AU - Deroubaix, Adrien
AU - Labuhn, Inga
AU - Camredon, Marie
AU - Gaubert, Benjamin
AU - Monerie, Paul Arthur
AU - Popp, Max
AU - Ramarohetra, Johanna
AU - Ruprich-Robert, Yohan
AU - Silvers, Levi G.
AU - Siour, Guillaume
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12/1
Y1 - 2021/12/1
N2 - The energy demand for heating and cooling buildings is changing with global warming. Using proxies of climate-driven energy demand based on the heating and cooling Degree-Days methodology applied to thirty global climate model simulations, we show that, over all continental areas, the climate-driven energy demand trends for heating and cooling were weak, changing by less than 10% from 1950 to 1990, but become stronger from 1990 to 2030, changing by more than 10%. With the multi-model mean, the increasing trends in cooling energy demand are more pronounced than the decreasing trends in heating. The changes in cooling, however, are highly variable depending on individual simulations, ranging from a few to several hundred percent in most of the densely populated mid-latitude areas. This work presents an example of the challenges that accompany future energy demand quantification as a result of the uncertainty in the projected climate.
AB - The energy demand for heating and cooling buildings is changing with global warming. Using proxies of climate-driven energy demand based on the heating and cooling Degree-Days methodology applied to thirty global climate model simulations, we show that, over all continental areas, the climate-driven energy demand trends for heating and cooling were weak, changing by less than 10% from 1950 to 1990, but become stronger from 1990 to 2030, changing by more than 10%. With the multi-model mean, the increasing trends in cooling energy demand are more pronounced than the decreasing trends in heating. The changes in cooling, however, are highly variable depending on individual simulations, ranging from a few to several hundred percent in most of the densely populated mid-latitude areas. This work presents an example of the challenges that accompany future energy demand quantification as a result of the uncertainty in the projected climate.
UR - https://www.scopus.com/pages/publications/85114052741
U2 - 10.1038/s41467-021-25504-8
DO - 10.1038/s41467-021-25504-8
M3 - Article
C2 - 34465790
AN - SCOPUS:85114052741
SN - 2041-1723
VL - 12
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 5197
ER -