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Domingos, L., Rato, V. & Laureano, R. (2020). Designing and building for extreme environments. A multi-criteria decision model to evaluate architecture for extreme temperatures. In Rodríguez Álvarez, J., and Gonçalves, J. C. S. (Ed.), PLEA 2020 - Planning Post Carbon Cities: 35th PLEA Conference on Passive and Low Energy Architecture. (pp. 1155-1160). A Coruña: University of A Coruña, Asoc. PLEA2020 Planning Post Carbon Cities.
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: 35th PLEA Conf. on Passive and Low Energy Architecture, Rodríguez Álvarez, J., and Gonçalves, J. C. S., Ed., A Coruña, University of A Coruña, Asoc. PLEA2020 Planning Post Carbon Cities, 2020, vol. 2, pp. 1155-1160
@inproceedings{domingos2020_1721647500618, author = "Domingos, L. and Rato, V. and Laureano, R.", title = "Designing and building for extreme environments. A multi-criteria decision model to evaluate architecture for extreme temperatures", booktitle = "PLEA 2020 - Planning Post Carbon Cities: 35th PLEA Conference on Passive and Low Energy Architecture", year = "2020", editor = "Rodríguez Álvarez, J., and Gonçalves, J. C. S.", volume = "2", number = "", series = "", pages = "1155-1160", publisher = "University of A Coruña, Asoc. PLEA2020 Planning Post Carbon Cities", address = "A Coruña", organization = "University of A Coruña, Asoc. PLEA 2020 Planning Post Carbon Cities", url = "https://www.plea2020.org/home" }
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: 35th PLEA Conference on Passive and Low Energy Architecture VL - 2 AU - Domingos, L. AU - Rato, V. AU - Laureano, R. PY - 2020 SP - 1155-1160 CY - A Coruña UR - https://www.plea2020.org/home 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 -