Exportar Publicação

Stellacci, S., Domingos, L. & Resende, R. (2022). Integrated computational approaches for energy retrofit of historical buildings in extreme climate environments. International Journal of Building Pathology and Adaptation. 42 (1), 114-132

S. Stellacci et al.,  "Integrated computational approaches for energy retrofit of historical buildings in extreme climate environments", in Int. Journal of Building Pathology and Adaptation, vol. 42, no. 1, pp. 114-132, 2022

@article{stellacci2022_1715562001227,
	author = "Stellacci, S. and Domingos, L. and Resende, R.",
	title = "Integrated computational approaches for energy retrofit of historical buildings in extreme climate environments",
	journal = "International Journal of Building Pathology and Adaptation",
	year = "2022",
	volume = "42",
	number = "1",
	doi = "10.1108/IJBPA-03-2022-0044",
	pages = "114-132",
	url = "https://www.emeraldgrouppublishing.com/journal/ijbpa?id=ijbpa"
}

TY  - JOUR
TI  - Integrated computational approaches for energy retrofit of historical buildings in extreme climate environments
T2  - International Journal of Building Pathology and Adaptation
VL  - 42
IS  - 1
AU  - Stellacci, S.
AU  - Domingos, L.
AU  - Resende, R.
PY  - 2022
SP  - 114-132
SN  - 2398-4708
DO  - 10.1108/IJBPA-03-2022-0044
UR  - https://www.emeraldgrouppublishing.com/journal/ijbpa?id=ijbpa
AB  - Integrated policies for retrofitting historical buildings are crucial to face the
extreme temperature changes prospected in the 2015 Paris Agreement and UN
2030 Agenda. Historic sites need to meet emerging environmental demands
while preserving their values and cultural identities. Intervention in historic sites
should be adequately quantified and planned in simulated environments, which
demand combined computational approaches.
This research addresses the building energy performance analysis before and
after the design of energy retrofit solutions under the expected climatic conditions
in 2030-2100 in Portugal, using advanced parametric modelling tools
(Rhino/Grasshopper/EnergyPlus) and a multicriteria decision analysis (M-MACBETH).
A set of energy retrofit solutions are automatically scored in different
design scenarios. Each scenario differs for the weights assigned to each criterion
(i.e., energy consumption, weight, carbon footprint, and impact on architectural
configuration) that reflect the preference of the decision-makers or contexedbased
priorities.
The methodology is tested for assessing the most effective solutions that can
maximize building energy performance, usability, and cultural value and minimize
the environmental impact. The limited number of solutions tested in this research
and the impossibility of using an extended baseline period are the main research
limitations, which are discussed in parallel with the opportunities of the proposed
method.
ER  -