Supporting sustainability assessment of building element materials using a BIM-plug-in for multi-criteria decision-making

The environmental crisis requires the immediate implementation of accurate and robust sustainable solutions throughout the building life cycle. Life Cycle Sustainability Assessment (LCSA) is a scientifically recognised method that integrates the triple dimensions of the life cycle approach, and thereby enabling the evaluation of the performance of mitigation strategies implemented in building projects. However, implementing the LCSA in buildings is limited by the weighting of environmental, economic, and social dimensions to select the best option regarding the numerous materials available. In order to fill this knowledge gap, the paper aims to present the developed Smart BIM3LCA tool, which supports multi-dimensional assessment during the project's early design steps. Automatic integration of the LCSA, a multi-criteria decision-making tool such as TOPSIS, and building information modelling (BIM), was developed to support the selection of building materials. The BIM plug-in was then validated through its application to a multi-family residential building to select the most sustainable materials during the project's early design stage. • Integration of LCSA and TOPSIS during the project's early design steps. • Development of a BIM plug-in for supporting the sustainability assessment. • Case study validation of the LCSA BIM plug-in. • Detection of TOPSIS application limitations in the LCSA application in buildings.

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Publication Details

Journal
Journal of Building Engineering
Published
2024-09-30
DOI
https://doi.org/10.1016/j.jobe.2024.110818
Citations
6
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.59

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article

Supporting sustainability assessment of building element materials using a BIM-plug-in for multi-criteria decision-making

José Antonio Gutiérrez Moreno, Carmen Llatas, Endrit Hoxha, Daniel Cagigas-Muñiz et al.
6 citations
Journal of Building Engineering
BIM and Construction Integration
1.59
article

Supporting sustainability assessment of building element materials using a BIM-plug-in for multi-criteria decision-making

José Antonio Gutiérrez Moreno, Carmen Llatas, Endrit Hoxha, Daniel Cagigas-Muñiz, Bernardette Soust-Verdaguer
article en
6 citations

Abstract

The environmental crisis requires the immediate implementation of accurate and robust sustainable solutions throughout the building life cycle. Life Cycle Sustainability Assessment (LCSA) is a scientifically recognised method that integrates the triple dimensions of the life cycle approach, and thereby enabling the evaluation of the performance of mitigation strategies implemented in building projects. However, implementing the LCSA in buildings is limited by the weighting of environmental, economic, and social dimensions to select the best option regarding the numerous materials available. In order to fill this knowledge gap, the paper aims to present the developed Smart BIM3LCA tool, which supports multi-dimensional assessment during the project's early design steps. Automatic integration of the LCSA, a multi-criteria decision-making tool such as TOPSIS, and building information modelling (BIM), was developed to support the selection of building materials. The BIM plug-in was then validated through its application to a multi-family residential building to select the most sustainable materials during the project's early design stage. • Integration of LCSA and TOPSIS during the project's early design steps. • Development of a BIM plug-in for supporting the sustainability assessment. • Case study validation of the LCSA BIM plug-in. • Detection of TOPSIS application limitations in the LCSA application in buildings.

Journal of Building EngineeringVol. 97
Instituto de la Grasa (ES), Universidad de Sevilla (ES), Aalborg University (DK)
Ministerio de Ciencia, Innovación y Universidades, European Commission, Agencia Estatal de Investigación
Openalex Percentile: Top 18%
BIM and Construction Integration
1.59
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