Artificial intelligence application for sustainable design of façade openings in the tropics

María Clara Betancourt, Lina Marcela Quintero Villarreal, Rodrigo García Alvarado

Abstract


The envelope openings of houses have a strong implication in the indoor environmental quality and energy consumption. Nevertheless, there are no precise regulations for its design in equatorial tropics.  Normally these designs are based in the previous experiences and common sense of the architect. Determining the correct configuration of a design problem with the desired performance is now possible with the introduction of Parametric Design and Genetic Algorithms; through these it’s possible to obtain the best alternatives in the initial phase of design. The main focus of this investigation is to design windows that proportion adequate conditions of thermal and visual comfort, for a warm and humid tropical climate. The use of generative tools allows the evaluation of results in the initial stages of the project, giving the designer the possibility of choosing among diverse results with a high grade of efficiency and sustainability.

Keywords


Parametric design; genetic algorithms; optimization; comfort; façade openings.

References


Αris, T., Geros, V. & Bourdakis, V. (2006). Energy conscious automated design of building facades using genetic algorithms. En V. Bourdakis and D. Charitos (Eds.) Communicating Space(s), (pp. 898-903). Liverpool, UK: eCAADe

Bravo, G., González, E.M. & Gaudi, C. (2009). About Thermal Comfort: neutral temperatures in the humid tropic. Palapa, 4(1), 33-38, [En línea]. http://redalyc.uaemex.mx/src/inicio/ArtPdfRed.jsp?iCve=94814777005

Caldas, L. (2001). An evolution based generative design system: Using adaptation to shape architectural form [Doctoral Thesis]. Massachusetts Institute of Technology

Grimme, F., Laar, M., & Moore, C. (2006). Hombre y clima- estamos perdiendo nuestra adaptación al clima? San José, Costa Rica: Instituto de arquitectura tropical

Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. Ann Harbor, MI: University of Michigan Press

Horvath, I. (2005). On some crucial issues of computer support of conceptual design, D. Talaba, T. Roche (Eds.), Product engineering: eco-design, technologies and green energy, Netherlands: Springer

Marin, Ph, Bignon, J.C. & Lequay, H. (2008). Integral evolutionary design, integrated to early stage of architectural design process. Recuperado de http://www.crai.archi.fr/media/pdf/marin-ddssIntegralEvol.pdf

Marin, Ph, Bignon, J.C. & Lequay, H. (2008). A Genetic Algorithm for Use in Creative Design Processes [ACADIA: Biological Processes and Computation. College of Design, University of Minnesota, USA]. Recuperado de http://www.crai.archi.fr/media/pdf/marin-acadia%20A%20genetic%20algorithm.pdf

Renner, G., & Ekárt, A. (2009). Genetic algorithms in computer aided design. Computer-Aided Design, 35(8), 709-726

Simon. H.A. (1979). Models of Thought, New Haven, CT: Yale University

Tedeschi, A. (2011). Parametric architecture with Grasshopper. Brienza, Italia: Edizioni Le Penseur

Turrin, M., von Buelow, P., & Stouffs, R. (2011). Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms. Advanced Engineering Informatics, 25(4), 656-675

Torres, S.L, & Sakamoto, Y. (2007). Facade design optimization for daylight with a simple genetic algorithm [Proceedings of Building Simulation 2007, Beijing]. Recuperado de http://www.ibpsa.org/proceedings/BS2007/p117_final.pdf




DOI: http://dx.doi.org/10.18046/syt.v10i21.1194

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