A Comprehensive Review of Integrating BIM, AI, and Additive Manufacturing for Net-Zero Construction

This paper systematically reviews how Building Information Modelling (BIM), Artificial Intelligence (AI), and Additive Manufacturing (AM) can be integrated to advance Net-Zero Construction (NZC) by reducing operational energy, embodied carbon, and material waste across the building life cycle. BIM has evolved from a 3D coordination tool into a data-rich platform linking design, construction, and operation, enabling performance-based decision-making. AI enhances this digital backbone through predictive analytics, pattern recognition, and multi-objective optimisation, allowing complex design variables to be evaluated efficiently. AM translates these optimised digital solutions into material-efficient, low-waste physical structures using flexible fabrication techniques. The review identifies key requirements for effective integration, including embedding sustainability semantics within BIM models, developing AM-aware AI optimisation frameworks, and enabling continuous lifecycle performance verification through digital twins. A four-layer framework, information, intelligence, execution, and governance, is proposed to align digital workflows with lifecycle carbon targets. Collectively, BIM–AI–AM integration offers a scalable and ethically grounded pathway toward measurable decarbonisation in the built environment.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-04-01
DOI
https://doi.org/10.1051/e3sconf/202670201021/pdf
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive Review of Integrating BIM, AI, and Additive Manufacturing for Net-Zero Construction

Swathi Rekha R, Syed Saif Ali, Tahera, Qasim Zaheer et al.
Springer Link (Chiba Institute of Technology)
Innovations in Concrete and Construction Materials
article

A Comprehensive Review of Integrating BIM, AI, and Additive Manufacturing for Net-Zero Construction

Swathi Rekha R, Syed Saif Ali, Tahera, Qasim Zaheer, S. R. R. Teja Prathipati, S. M. Jamil Uddin
article en

Abstract

This paper systematically reviews how Building Information Modelling (BIM), Artificial Intelligence (AI), and Additive Manufacturing (AM) can be integrated to advance Net-Zero Construction (NZC) by reducing operational energy, embodied carbon, and material waste across the building life cycle. BIM has evolved from a 3D coordination tool into a data-rich platform linking design, construction, and operation, enabling performance-based decision-making. AI enhances this digital backbone through predictive analytics, pattern recognition, and multi-objective optimisation, allowing complex design variables to be evaluated efficiently. AM translates these optimised digital solutions into material-efficient, low-waste physical structures using flexible fabrication techniques. The review identifies key requirements for effective integration, including embedding sustainability semantics within BIM models, developing AM-aware AI optimisation frameworks, and enabling continuous lifecycle performance verification through digital twins. A four-layer framework, information, intelligence, execution, and governance, is proposed to align digital workflows with lifecycle carbon targets. Collectively, BIM–AI–AM integration offers a scalable and ethically grounded pathway toward measurable decarbonisation in the built environment.

Springer Link (Chiba Institute of Technology)
Responsible consumption and production
Openalex Percentile: Top 26%
Innovations in Concrete and Construction Materials
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