ABSTRACT: Digital Twin (DT) systems combined with the Internet of Things (IoT) are revolutionizing sectors such as industry, healthcare, and energy, but the environmental impact of software design choices remains poorly assessed. This study reviews 42 peer-reviewed papers (2015–2025) on DT–IoT software architectures to examine how computation distribution, service design, and communication layers influence energy efficiency, carbon emissions, and long-term maintainability. The analysis categorizes edge, cloud, and hybrid-based frameworks, outlining trade-offs among latency, throughput, and energy use. A unified benchmarking framework is proposed, featuring standardized metrics for latency, throughput, energy per event, carbon intensity, and orchestration overhead. Through a smart-campus case example, a hybrid setup demonstrates reduced energy and carbon intensity while maintaining latency below 100 ms. The findings emphasize sustainability as a central principle in the design of next-generation DT–IoT architectures.
Academic Journal of Manufacturing Engineering (Wed,) studied this question.
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