| id |
sigradi2022_62 |
| authors |
Mateus, Daniel; Henriques, Gonçalo Castro; Eskinazi, Mara; Menna, Ronaldo Lee; Nepomuceno, Taiane Melo |
| year |
2022 |
| title |
Carioca modern facades: expanding passive shading systems through computational methods |
| source |
Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 127–138 |
| summary |
In the 1940s, modern Rio de Janeiro architects developed passive systems to improve buildings performance, without resorting to air conditioning systems. This research studies the performance of a set of eight buildings, from the Carioca School, investigating in a prospective sense how to improve their performance through computational methods. The authors modelled the eight buildings and analysed as a case study the Nova Cintra building performance, regarding insolation and illuminance, using the environmental software Ladybug and Honeybee. Based on the simulation data, they used combinatorial modeling to change the position of each of the three shading type’s modules of the north facade of Nova Cintra, to improve their overall performance. Results confirm that is possible to continue to improve the buildings performance, as already accomplished by the modern buildings, using computational methods to improve, reducing also energy consumption through natural systems and diminishing the need for artificial air conditioning systems. |
| keywords |
Generative Design, Shading performance, Insolation and illuminance analysis, Combinatorial modeling, Carioca modern facades |
| series |
SIGraDi |
| email |
|
| full text |
 file.pdf (852,083 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/05/16 16:55 |
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