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Research Article Open access CC BY 4.0

Digital Twins for Climate-Resilient Infrastructure: Simulating Environmental Impact on Buildings

CHRISTIANA UKAMAKA ALEKE, Emmanuel Orhorhoro Ovie, Joshua Babatunde Asere, Enosata Anita Oriakhi, Godspower Charles Igah, Oluwafemi Emmanuel Ajibade, Ifeanyi Kingsley Egbuna

Asian Journal of Geographical Research · pp. 132–141 · Published 30 Apr 2025

10.9734/ajgr/2025/v8i2270

Abstract

This study explores how digital twin technology is transforming building design and management amid climate change by simulating real-time environmental interactions to enhance infrastructure resilience. A systematic literature review was conducted using databases such as IEEE Xplore, ScienceDirect, and Scopus, focusing on peer-reviewed studies from 2015 to 2025 that emphasize real-world applications and predictive modeling. Results indicate that digital twins can reduce energy use by up to 30%, lower operational costs by 25%, and improve climate adaptability through enhanced indoor climate control, flood risk assessment, and urban-scale planning. The study concludes that digital twins offer significant potential for sustainable development and urban resilience, though broader implementation requires addressing data integration and cybersecurity concerns.

Digital Twin climate resilience infrastructure building simulation environmental impact sustainability climate change smart buildings energy efficiency predictive modeling

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