Multi-objective generative design for sustainable timber shading elements: Thermal optimization and modular adaptation in Brazilian coastal environments

This research aims to develop a multi-objective generative design framework to optimize the arrangement of modular wooden brise-soleils in a specific case of study. The framework seeks to enhance solar protection efficacy while minimizing material consumption through computational methods. The innovation features a high-low approach that combines digital climate simulations with traditional construction techniques. First, a literature review was conducted to establish the foundation of the study. Subsequently, the process was: (1) climatic data; (2) defining the language and geometric patterns for the brise-soleil; (3) implementing a multi-objective generative analysis; (4) evaluating the solutions using performance metrics to identify those that achieved the best configurations. The analysis yielded multiple performance-based configurations that demonstrated an optimal balance between reduced wood volume and effective protection against direct solar radiation. This approach contributes to sustainable modular construction by providing a replicable methodology that combines energy efficiency with construction practices adapted to local realities.

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Publication Details

Journal
International Journal of Architectural Computing
Published
2025-06-24
DOI
https://doi.org/10.1177/14780771251352959
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
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article

Multi-objective generative design for sustainable timber shading elements: Thermal optimization and modular adaptation in Brazilian coastal environments

Alexandre Araújo Bertini, Neliza Maria e Silva Romcy, Newton Célio Becker de Moura, João Pedro Deodato Barreto
International Journal of Architectural Computing
Design Education and Practice
article

Multi-objective generative design for sustainable timber shading elements: Thermal optimization and modular adaptation in Brazilian coastal environments

Alexandre Araújo Bertini, Neliza Maria e Silva Romcy, Newton Célio Becker de Moura, João Pedro Deodato Barreto
article en

Abstract

This research aims to develop a multi-objective generative design framework to optimize the arrangement of modular wooden brise-soleils in a specific case of study. The framework seeks to enhance solar protection efficacy while minimizing material consumption through computational methods. The innovation features a high-low approach that combines digital climate simulations with traditional construction techniques. First, a literature review was conducted to establish the foundation of the study. Subsequently, the process was: (1) climatic data; (2) defining the language and geometric patterns for the brise-soleil; (3) implementing a multi-objective generative analysis; (4) evaluating the solutions using performance metrics to identify those that achieved the best configurations. The analysis yielded multiple performance-based configurations that demonstrated an optimal balance between reduced wood volume and effective protection against direct solar radiation. This approach contributes to sustainable modular construction by providing a replicable methodology that combines energy efficiency with construction practices adapted to local realities.

International Journal of Architectural Computing
Universidade Federal do Ceará (BR)
Openalex Percentile: Top 86%
Design Education and Practice
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