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Modeling Low Energy Demand Futures for Buildings: Current State and Research Needs.

Authors :
Mastrucci, Alessio
Niamir, Leila
Boza-Kiss, Benigna
Bento, Nuno
Wiedenhofer, Dominik
Streeck, Jan
Pachauri, Shonali
Wilson, Charlie
Chatterjee, Souran
Creutzig, Felix
Dukkipati, Srihari
Feng, Wei
Grubler, Arnulf
Jupesta, Joni
Kumar, Poornima
Marangoni, Giacomo
Saheb, Yamina
Shimoda, Yoshiyuki
Shoai-Tehrani, Bianka
Yamaguchi, Yohei
Source :
Annual Review of Environment & Resources. Nov2023, Vol. 48, p761-792. 32p.
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15435938
Volume :
48
Database :
Academic Search Index
Journal :
Annual Review of Environment & Resources
Publication Type :
Academic Journal
Accession number :
173583862
Full Text :
https://doi.org/10.1146/annurev-environ-112321-102921