AI in Sustainable Construction: Techniques, Impacts and Solutions

Artificial Intelligence (AI) application in sustainable construction is a revolutionary way to improve construction methods and practices, minimize the negative effects on the environment, and manage the resources efficiently. This review presents the responsibilities, advantages and uses of AI in green construction. Based on such technologies as predictive modeling, the design of smart buildings, and efficient management systems of construction projects, the construction sector can decrease CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions and advance environmental sustainability. In addition, the paper also examines barriers to the applications of AI such as technology constraints, high cost of deployment, and inadequate talent. In conclusion, this paper also discusses how AI has impacted sustainable construction and its implications and further direction for encouraging its application in the construction industry.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/idicaiei61867.2024.10842895
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.27
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article

AI in Sustainable Construction: Techniques, Impacts and Solutions

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1 citations
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article

AI in Sustainable Construction: Techniques, Impacts and Solutions

Prateek Verma, Aditya Barhate, Abhay Tale, Tarika Dagadkar, Sachin Dagadkar, Anannya Dagadkar
article en
1 citations

Abstract

Artificial Intelligence (AI) application in sustainable construction is a revolutionary way to improve construction methods and practices, minimize the negative effects on the environment, and manage the resources efficiently. This review presents the responsibilities, advantages and uses of AI in green construction. Based on such technologies as predictive modeling, the design of smart buildings, and efficient management systems of construction projects, the construction sector can decrease CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions and advance environmental sustainability. In addition, the paper also examines barriers to the applications of AI such as technology constraints, high cost of deployment, and inadequate talent. In conclusion, this paper also discusses how AI has impacted sustainable construction and its implications and further direction for encouraging its application in the construction industry.

School of Planning and Architecture Delhi (IN), Datta Meghe Institute of Higher Education and Research (IN)
Openalex Percentile: Top 40%
BIM and Construction Integration
0.27
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