Article (Scientific journals)
Towards a parametric early design approach for office buildings that integrates life cycle assessment and indoor environmental quality
Dasse, Maxime; Slavkovic, Katarina; Stephan, André et al.
2026In Building and Environment, 289, p. 113998
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Keywords :
Embodied greenhouse gas (GHG) emissions; Life Cycle Assessment (LCA); Lighting comfort; Embodied greenhouse gas emission; Greenhouse gas emissions; Life cycle assessment; Environmental Engineering; Building and Construction; Computational Design
Abstract :
[en] The construction sector is responsible for significant greenhouse gas emissions and therefore is a major driver of climate change. We must adapt our practices to design buildings that aim to achieve climate neutrality. The early design stages are critical to achieving this objective as most impactful decisions are made then. Yet very little data on the building design are available at early design. In parallel, the current research on life cycle greenhouse gas emissions has focused more on residential than office buildings. Furthermore, existing life cycle assessment studies of buildings frequently exclude lighting comfort from their scope. In this study, we propose a parametric approach to quantify the influence of design parameters on the life cycle energy use and greenhouse gas emissions, as well as lighting comfort. This approach is based on the generation of office layout models. Embodied flows calculations and energy and daylight simulations are then conducted on the generated models to evaluate their performance across two main dimensions: life cycle greenhouse gasses emissions and spatial daylight autonomy. Lastly, a sensitivity analysis quantifies the individual influence of the design parameters on these dimensions. We find that geometry has a significant influence on the performance of the models. In fact, we found that the width of the building and subsequently its density are the most influential parameter, followed by the window-to-wall ratio. Using parametric models at the early stage of design can help identify design solutions that achieve a high life cycle environmental performance, helping stir the construction sector towards climate neutrality while maintaining comfort standards.
Research Center/Unit :
Louvain Research Institute for Landscape, Architecture and Built Environment
Architecture et Climat
Disciplines :
Architecture
Author, co-author :
Dasse, Maxime  ;  Université de Liège - ULiège > Urban and Environmental Engineering  ; Louvain Research Institute for Landscape, Architecture, Built Environment, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
Slavkovic, Katarina ;  Louvain Research Institute for Landscape, Architecture, Built Environment, Université Catholique de Louvain, Louvain-la-Neuve, Belgium ; Eidgenössische Technische Hochschule Zürich, Institute of Construction and Infrastructure Management, Switzerland
Stephan, André;  Louvain Research Institute for Landscape, Architecture, Built Environment, Université Catholique de Louvain, Louvain-la-Neuve, Belgium ; Faculty of Architecture, Building and Planning, The University of Melbourne, Parkville, Australia
Gobbo, Emilie ;  Louvain Research Institute for Landscape, Architecture, Built Environment, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
Language :
English
Title :
Towards a parametric early design approach for office buildings that integrates life cycle assessment and indoor environmental quality
Publication date :
01 February 2026
Journal title :
Building and Environment
ISSN :
0360-1323
eISSN :
1873-684X
Publisher :
Elsevier Ltd
Volume :
289
Pages :
113998
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
11. Sustainable cities and communities
13. Climate action
Funders :
F.R.S.-FNRS - Fund for Scientific Research
Funding number :
T.0004.23F
Funding text :
The lead author would like to acknowledge the support and advice of Bryce Burignat during the development of the original statistical analysis Python code. This work was supported by the Fonds de la Recherche Scientifique - FNRS under Grant(s) n\u00B0 [ T.0004.23F ].
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