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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Mastrucci, A., Niamir, L., Boza-Kiss, B., Bento, N., Wiedenhofer, D., Streeck, J....van Ruijven, B. (2023). Modeling low energy demand futures for buildings: Current state and research needs. Annual Review of Environment and Resources. 48, 761-792
Exportar Referência (IEEE)
A. Mastrucci et al.,  "Modeling low energy demand futures for buildings: Current state and research needs", in Annu. Review of Environment and Resources, vol. 48, pp. 761-792, 2023
Exportar BibTeX
@article{mastrucci2023_1732210613261,
	author = "Mastrucci, A. and Niamir, L. and Boza-Kiss, B. and Bento, N. and Wiedenhofer, D. and Streeck, J. and Pachauri, S. and Wilson, C. and Chatterjee, S. and Creutzig, F. and Dukkipati, S. and Feng, W. and Grubler, A. and Jupesta, J. and Kumar, P. and Marangoni, G. and Saheb, Y. and Shimoda, Y. and Shoai-Tehrani, B. and Yamaguchi, Y. and van Ruijven, B.",
	title = "Modeling low energy demand futures for buildings: Current state and research needs",
	journal = "Annual Review of Environment and Resources",
	year = "2023",
	volume = "48",
	number = "",
	doi = "10.1146/annurev-environ-112321-102921",
	pages = "761-792",
	url = "https://www.annualreviews.org/doi/10.1146/annurev-environ-112321-102921"
}
Exportar RIS
TY  - JOUR
TI  - Modeling low energy demand futures for buildings: Current state and research needs
T2  - Annual Review of Environment and Resources
VL  - 48
AU  - Mastrucci, A.
AU  - Niamir, L.
AU  - Boza-Kiss, B.
AU  - Bento, N.
AU  - Wiedenhofer, D.
AU  - Streeck, J.
AU  - Pachauri, S.
AU  - Wilson, C.
AU  - Chatterjee, S.
AU  - Creutzig, F.
AU  - Dukkipati, S.
AU  - Feng, W.
AU  - Grubler, A.
AU  - Jupesta, J.
AU  - Kumar, P.
AU  - Marangoni, G.
AU  - Saheb, Y.
AU  - Shimoda, Y.
AU  - Shoai-Tehrani, B.
AU  - Yamaguchi, Y.
AU  - van Ruijven, B.
PY  - 2023
SP  - 761-792
SN  - 1543-5938
DO  - 10.1146/annurev-environ-112321-102921
UR  - https://www.annualreviews.org/doi/10.1146/annurev-environ-112321-102921
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.
ER  -