Scenario-Based Analysis on Digital Twin: Toward a Greener Industry 4.0

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Abstract
Digital Twin technology is increasingly recognized as a strategic enabler of Industry 4.0, combining efficiency, resilience, and sustainability. By replicating physical assets and processes in dynamic digital environments, Digital Twins enable real-time monitoring, predictive maintenance, and energy optimization. This chapter provides a scenario-based analysis on digital twin. Evidence from existing implementations shows measurable sustainability outcomes: energy savings of 15–30%, CO2 emission reductions up to 25%, and maintenance cost decreases between 20 and 30%. These benefits are most evident in energy-intensive and complex industries, where Digital Twins have already demonstrated tangible impacts on operational performance and ecological transition. At the same time, barriers such as high initial costs, lack of standardization, and cybersecurity risks remain critical challenges. The chapter emphasizes the role of Digital Twins not only as technological tools but as catalysts of systemic transformation toward greener, more resilient industrial and urban models.

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