Sustainability and Environmental Performance

A Systematic Review of the Applications of AI in a Sustainable Building’s Lifecycle

Bukola Adejoke Adewale, Vincent Onyedikachi Ene, Babatunde Fatai Ogunbayo, Clinton Ohis Aigbavboa

Published 2024

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📄 Paper
Buildings significantly contribute to global energy consumption and greenhouse gas emissions. This systematic literature review explores the potential of artificial intelegence (AI) to enhance sustainability throughout a building’s lifecycle. The review identifies AI technologies applicable to sustainable building practices, examines their influence, and analyses implementation challenges. The findings reveal AI’s capabilities in optimising energy efficiency, enabling predictive maintenance, and aiding in design simulation. Advanced machine learning algorithms facilitate data-driven analysis, while digital twins provide real-time insights for decision-making. The review also identifies barriers to AI adoption, including cost concerns, data security risks, and implementation challenges. While AI offers innovative solutions for energy optimisation and environmentally conscious practices, addressing technical and practical challenges is crucial for its successful integration in sustainable building practices.

Abstract

Buildings significantly contribute to global energy consumption and greenhouse gas emissions. This systematic literature review explores the potential of artificial intelegence (AI) to enhance sustainability throughout a building’s lifecycle. The review identifies AI technologies applicable to sustainable building practices, examines their influence, and analyses implementation challenges. The findings reveal AI’s capabilities in optimising energy efficiency, enabling predictive maintenance, and aiding in design simulation. Advanced machine learning algorithms facilitate data-driven analysis, while digital twins provide real-time insights for decision-making. The review also identifies barriers to AI adoption, including cost concerns, data security risks, and implementation challenges. While AI offers innovative solutions for energy optimisation and environmentally conscious practices, addressing technical and practical challenges is crucial for its successful integration in sustainable building practices.

Topics

AI building automationAI for Energy Performance OptimizationAI material selectionAI-Powered Real Estate ValuationML for sustainable real estatePredictive Analytics and Performance OptimizationReview PaperSmart Building Systems and IoT IntegrationSustainable Buildingsadaptive controlbuilding performance dashboardcircular economydigital twinsembodied carbonhuman-centric IoTlifecycle assessmentsustainable materials

Cite this paper

@Article{1772803f,
AUTHOR = {Adewale, Bukola Adejoke and Ene, Vincent Onyedikachi and Ogunbayo, Babatunde Fatai and Aigbavboa, Clinton Ohis},
TITLE = {A Systematic Review of the Applications of AI in a Sustainable Building’s Lifecycle},
JOURNAL = {Buildings},
VOLUME = {14},
YEAR = {2024},
NUMBER = {7},
ARTICLE-NUMBER = {2137},
URL = {https://www.mdpi.com/2075-5309/14/7/2137},
ISSN = {2075-5309},
ABSTRACT = {Buildings significantly contribute to global energy consumption and greenhouse gas emissions. This systematic literature review explores the potential of artificial intelegence (AI) to enhance sustainability throughout a building’s lifecycle. The review identifies AI technologies applicable to sustainable building practices, examines their influence, and analyses implementation challenges. The findings reveal AI’s capabilities in optimising energy efficiency, enabling predictive maintenance, and aiding in design simulation. Advanced machine learning algorithms facilitate data-driven analysis, while digital twins provide real-time insights for decision-making. The review also identifies barriers to AI adoption, including cost concerns, data security risks, and implementation challenges. While AI offers innovative solutions for energy optimisation and environmentally conscious practices, addressing technical and practical challenges is crucial for its successful integration in sustainable building practices.},
DOI = {10.3390/buildings14072137}
}