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Annual Review of Environment and Resources
Article . 2023 . Peer-reviewed
License: CC BY
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Modeling Low Energy Demand Futures for Buildings: Current State and Research Needs

Authors: Alessio Mastrucci; Leila Niamir; Benigna Boza-Kiss; Nuno Bento; Dominik Wiedenhofer; Jan Streeck; Shonali Pachauri; +14 Authors

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

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.

Countries
Portugal, Germany, Austria, Portugal, United Kingdom, Germany
Keywords

690, Megatrends, Decent living standards, :Ciências Sociais::Geografia Económica e Social [Domínio/Área Científica], Residential and commercial, 600, 333, Climate change mitigation, Scenarios development, Energy demand transformation, :Ciências Naturais::Ciências da Terra e do Ambiente [Domínio/Área Científica]

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
25
Top 10%
Top 10%
Top 10%
53
57
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gold