Integrating BIM and AI For Smart Energy Systems: A Lean Construction Approach to Developing Sustainable and Resilient Infrastructure

The construction industry faces unprecedented challenges in fulfilling its role in building sustainable, resilient infrastructure while managing growing complexity and resource constraints. This article discusses how the Building Information Model (BIM), artificial intelligence (AI), and Lean Construction principles are synergistically integrated to optimise innovative energy systems in a building environment. Through a wide-ranging review of the latest literature and case studies, this paper shows how, with the confluence of these technologies, predictive energy management, waste reduction, and better decision-making can be achieved across the project lifecycle. The results show that integrated BIM-AI frameworks can save 20-35% in energy use, reduce construction waste by up to 30%, and deliver projects 25-40% more efficiently. This research adds to the growing body of knowledge on digital transformation in construction, offering valuable insights for industry practitioners seeking to implement sustainable solutions in the infrastructure sector.

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Publication Details

Journal
Path of Science
Published
2025-12-31
DOI
https://doi.org/10.22178/pos.125-20
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating BIM and AI For Smart Energy Systems: A Lean Construction Approach to Developing Sustainable and Resilient Infrastructure

Alademomi Ademola Peter, Stanley Abela Udoh, Alawode Deborah Oluwabusola, Okegbemi Adebayo et al.
Path of Science
BIM and Construction Integration
article

Integrating BIM and AI For Smart Energy Systems: A Lean Construction Approach to Developing Sustainable and Resilient Infrastructure

Alademomi Ademola Peter, Stanley Abela Udoh, Alawode Deborah Oluwabusola, Okegbemi Adebayo, Olamide Segun Olatunji, Anaebo Johnpaul Chukwuka
article en

Abstract

The construction industry faces unprecedented challenges in fulfilling its role in building sustainable, resilient infrastructure while managing growing complexity and resource constraints. This article discusses how the Building Information Model (BIM), artificial intelligence (AI), and Lean Construction principles are synergistically integrated to optimise innovative energy systems in a building environment. Through a wide-ranging review of the latest literature and case studies, this paper shows how, with the confluence of these technologies, predictive energy management, waste reduction, and better decision-making can be achieved across the project lifecycle. The results show that integrated BIM-AI frameworks can save 20-35% in energy use, reduce construction waste by up to 30%, and deliver projects 25-40% more efficiently. This research adds to the growing body of knowledge on digital transformation in construction, offering valuable insights for industry practitioners seeking to implement sustainable solutions in the infrastructure sector.

Path of ScienceVol. 11(12)
University of Bradford (GB), Yaba College of Technology (NG), University of New Haven (US), Ladoke Akintola University of Technology (NG), Universidad del Noreste (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
BIM and Construction Integration
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