TY - JOUR
T1 - Modeling Low Energy Demand Futures for Buildings: Current State and Research Needs
AU - Mastrucci, Alessio
AU - Niamir, Leila
AU - Boza-Kiss, Benigna
AU - Bento, Nuno
AU - Wiedenhofer, Dominik
AU - Streeck, Jan
AU - Pachauri, Shonali
AU - Wilson, Charlie
AU - Chatterjee, Souran
AU - Creutzig, Felix
AU - Dukkipati, Srihari
AU - Feng, Wei
AU - Grubler, Arnulf
AU - Jupesta, Joni
AU - Kumar, Poornima
AU - Marangoni, Giacomo
AU - Saheb, Yamina
AU - Shimoda, Yoshiyuki
AU - Shoai-Tehrani, Bianka
AU - Yamaguchi, Yohei
AU - van, Ruijven B
PY - 2023/11/13
Y1 - 2023/11/13
N2 - Buildings are key in supporting human activities and well-being by providing shelter and other important services to their users. Buildings are, however, also responsible for major energy use and greenhouse gas (GHG) emissions during their life cycle. Improving the quality of services provided by buildings while reaching low energy demand (LED) levels is crucial for climate and sustainability targets. Building sector models have become essential tools for decision support on strategies to reduce energy demand and GHG emissions. Yet current models have significant limitations in their ability to assess the transformations required for LED. We review building sector models ranging from the subnational to the global scale to identify best practices and critical gaps in representing transformations toward LED futures. We focus on three key dimensions of intervention (socio-behavioral, infrastructural, and technological), three megatrends (digitalization, sharing economy, and circular economy), and decent living standards. This review recommends the model developments needed to better assess LED transformations in buildings and support decision-making toward sustainability targets.
AB - Buildings are key in supporting human activities and well-being by providing shelter and other important services to their users. Buildings are, however, also responsible for major energy use and greenhouse gas (GHG) emissions during their life cycle. Improving the quality of services provided by buildings while reaching low energy demand (LED) levels is crucial for climate and sustainability targets. Building sector models have become essential tools for decision support on strategies to reduce energy demand and GHG emissions. Yet current models have significant limitations in their ability to assess the transformations required for LED. We review building sector models ranging from the subnational to the global scale to identify best practices and critical gaps in representing transformations toward LED futures. We focus on three key dimensions of intervention (socio-behavioral, infrastructural, and technological), three megatrends (digitalization, sharing economy, and circular economy), and decent living standards. This review recommends the model developments needed to better assess LED transformations in buildings and support decision-making toward sustainability targets.
U2 - 10.1146/annurev-environ-112321-102921
DO - 10.1146/annurev-environ-112321-102921
M3 - Article
SN - 1543-5938
VL - 48
SP - 761
EP - 792
JO - Annual Review of Environment and Resources
JF - Annual Review of Environment and Resources
IS - 1
ER -