Providing a digital twin solution in manufacturing is becoming a critical part of managing the complexity of the environment that entities have to increasingly operate within.
As digital twins become critically important, entities are beginning to adopt this “twinning” concept dramatically, and within the Energy Transition we are undertaking, it will be no different.
A digital twin enables a Utility, for example, to visualize its assets, track the constant changes occurring consistently, and make better decisions on the performance optimization.
Wikipedia offers a useful clarification of the Digital Twin.
“A digital twin is a digital replica of a living or non-living physical entity. By bridging the physical and the virtual world, data is transmitted seamlessly, allowing the virtual entity to exist simultaneously with the physical entity.
Digital twin refers to a digital replica of potential and actual physical assets (physical twin), processes, people, places, systems, and devices that can be used for various purposes.
The digital representation provides both the elements and the dynamics of how an Internet of things device operates and lives throughout its life cycle. Digital twins integrate the internet of things, artificial intelligence, machine learning, and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change.”
As the energy transition is presently undergoing such radical changes, the managing of energy and especially grid management is getting highly complex and the digitalization of this is becoming vital to manage differently. Why?
