Multi-LOD generative approach for multi-objective sustainability optimization from the early stages of building design

Given the urgency of reducing the buildings' environmental impact, this article focuses on optimizing sustainability from the earliest design phases, when decisions have the greatest influence. To address the challenges posed by the coarse granularity of digital models during the sketching phase and the often-conflicting nature of sustainability criteria, a generative workflow is proposed. This workflow, based on a multi-Level of Detail (LOD) framework, enables the evaluation and tracking of multiple sustainability criteria throughout the design iterations. This systemic methodology integrates automated functional spatial-planning, hierarchical segmentation of construction solutions, and systematic exploration of Pareto-optimal alternatives for bi-objective optimization. The framework is validated during the sketch phase using life-cycle cost and global warming potential, across eight real-world office-building case studies. Feedback from ten construction experts confirms the Proof-of-Concept's effectiveness in supporting both retrospective and prospective decision-making, underscoring its potential to advance sustainable design practices in the Architecture, Engineering, and Construction sector. • Effective prototype for sustainability assessment from early design stages. • Generative design process enabling informed decisions from the sketch phase. • Multi-LOD workflow enabling decision-making without large sustainability expertise. • Independent and BIM-compatible multi-scale classification of construction methods. • Product renewals consideration extended to all sustainability criteria.

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Publication Details

Journal
Automation in Construction
Published
2025-06-13
DOI
https://doi.org/10.1016/j.autcon.2025.106326
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-LOD generative approach for multi-objective sustainability optimization from the early stages of building design

Benjamin Cohen Boulakia, Karim Beddiar, F. Duval, Catherine Bouillon et al.
Automation in Construction
BIM and Construction Integration
article

Multi-LOD generative approach for multi-objective sustainability optimization from the early stages of building design

Benjamin Cohen Boulakia, Karim Beddiar, F. Duval, Catherine Bouillon, Yves Jaboin
article en

Abstract

Given the urgency of reducing the buildings' environmental impact, this article focuses on optimizing sustainability from the earliest design phases, when decisions have the greatest influence. To address the challenges posed by the coarse granularity of digital models during the sketching phase and the often-conflicting nature of sustainability criteria, a generative workflow is proposed. This workflow, based on a multi-Level of Detail (LOD) framework, enables the evaluation and tracking of multiple sustainability criteria throughout the design iterations. This systemic methodology integrates automated functional spatial-planning, hierarchical segmentation of construction solutions, and systematic exploration of Pareto-optimal alternatives for bi-objective optimization. The framework is validated during the sketch phase using life-cycle cost and global warming potential, across eight real-world office-building case studies. Feedback from ten construction experts confirms the Proof-of-Concept's effectiveness in supporting both retrospective and prospective decision-making, underscoring its potential to advance sustainable design practices in the Architecture, Engineering, and Construction sector. • Effective prototype for sustainability assessment from early design stages. • Generative design process enabling informed decisions from the sketch phase. • Multi-LOD workflow enabling decision-making without large sustainability expertise. • Independent and BIM-compatible multi-scale classification of construction methods. • Product renewals consideration extended to all sustainability criteria.

Automation in ConstructionVol. 177
Arts et Métiers (FR), Université de Versailles Saint-Quentin-en-Yvelines (FR), Université Paris-Saclay (FR), Institut Pierre-Gilles de Gennes pour la Microfluidique (FR), Caribbean Health Research Council (TT), Bibliothèque Nationale de France (FR), Institut National des Sciences Appliquées Rouen Normandie (FR)
Association Nationale de la Recherche et de la Technologie
Industry, innovation and infrastructure, Responsible consumption and production
Openalex Percentile: Top 86%
BIM and Construction Integration
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