Digital Twins (DTs) are dynamic virtual models that mirror the behavior and characteristics of physical systems. They are emerging as a crucial tool in digital transformation, adaptable for various applications. DTs are used to simulate, analyze, and optimize physical and virtual assets [10, 11]. However, their complexity and resource-intensive nature make them challenging to integrate into real settings. Therefore, we propose that an efficient architectural design, flexibility, adaptability, and interoperability is key to achieving these objectives. Furthermore, by enhancing these aspects of DTs, we also contribute to their sustainability across technological, environmental, and economic dimensions.
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Ratushniak et al. (2024) studied this question.
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