articleSustainable Cities and Society AdvancesJan 8, 2026HYBRID OA

Synergistic integration of digital twins and artificial intelligence for sustainable energy and environmental systems: A comprehensive review

ARAsif Raihan

King Fahd University of Petroleum and Minerals

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Abstract

The integration of Digital Twin (DT) and Artificial Intelligence (AI) technologies has shown considerable potential for advancing sustainability in energy and environmental systems, yet existing literature remains fragmented across sectors. This study conducts a systematic literature review of peer-reviewed research published between 2015 and 2025, applying PRISMA-guided screening to identify and analyze 142 relevant studies. The review methodology, including database search, selection criteria, and thematic analysis, ensures reproducibility and comprehensive coverage. The paper makes three core contributions. First, it establishes a conceptual foundation for DT-AI convergence by clarifying the complementary…

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5
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78.79
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100%
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112
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Topics & keywords

Topics
Keywords
  • Sustainability
  • Life-cycle assessment
  • Systematic review
  • Decision support system
  • Applications of artificial intelligence
  • Big data
  • Resilience (materials science)
  • Conceptual framework
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