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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)
Domingos, L., Rato, V. & Laureano, M. (2020). Designing and Building for Extreme Environments. A multi-criteria decision model to evaluate architecture for extreme temperatures. PLEA 2020 - Planning Post Carbon Cities.
Exportar Referência (IEEE)
L. M. Domingos et al.,  "Designing and Building for Extreme Environments. A multi-criteria decision model to evaluate architecture for extreme temperatures", in PLEA 2020 - Planning Post Carbon Cities, A Coruña, 2020
Exportar BibTeX
@misc{domingos2020_1777322256642,
	author = "Domingos, L. and Rato, V. and Laureano, M.",
	title = "Designing and Building for Extreme Environments. A multi-criteria decision model to evaluate architecture for extreme temperatures",
	year = "2020",
	howpublished = "Digital",
	url = "https://doi.org/10.17979/spudc.9788497497947"
}
Exportar RIS
TY  - CPAPER
TI  - Designing and Building for Extreme Environments. A multi-criteria decision model to evaluate architecture for extreme temperatures
T2  - PLEA 2020 - Planning Post Carbon Cities
AU  - Domingos, L.
AU  - Rato, V.
AU  - Laureano, M.
PY  - 2020
CY  - A Coruña
UR  - https://doi.org/10.17979/spudc.9788497497947
AB  - The purpose of this research is to present an assessment methodology that validates architecture
designs for environments with extreme temperatures, considering structural and energy demands, as well as
sustainability-related concerns. This is achieved using multi-criteria decision analysis modelling. This study
presents the results of a MCDA model built for this purpose, and evaluated through four variations representing
different project scenarios. A total of 11 criteria (regarding energy efficiency, material performance,
architectural performance and circularity) are used to analyse four building assemblies, in order to understand
which is more appropriate for an environment with extremely cold and extremely hot temperatures. This allows
the validation of the proposed multi-criteria analysis framework, which will lead to further research on extreme
climate design.
ER  -