Overview
- Accurate and realistic simulations can be carried out easily.
- The digital twin model can be developed right after the detailed engineering phase. This enables one to start optimizing the process line months before the real process is commissioned.
- Now once the plant is operational, the digital twin technology is used for in-plant operator training. Chemical Industries frequently involve highly hazardous processes which are prone to have catastrophic consequences hence such trainings are of utmost importance. The advantage of such a training is that the operator gains a proper perception of the 'What happens when.......' scenarios. These virtual models are used to train operators in the critical phases of operations like start-up, shutdown and even line upsets.
- Has the capability to capture the data from the sensors and thus improving the efficacy of the model
Enabling Factors
The factors which are making the conditions favourable and conducive for the seamless and economical application of the digital twin to chemical industries are :
The Process simulation industry has come a long way since its inception and is now their products are able to accurately model real processes. With the increase in the number of organizations using such tools, has resulted in making them affordable. With time simulations are only going to get better and affordable and no one can deny that!
With the advent of Industrial IOT coupled with the accurate sensors available today, this has paved the way for capturing data in real time not only of the individual assets(unit operations) but also from the control systems. Advancements in 'Data-Visualization' and 'Data-Analytics' have made way for the quick and easy interpretation of the vast data being generated in a plant.
Some other enabling factor are that tremendous computing power is easily available at affordable rates today. Proper storage and network infrastructure is conveniently at our disposal.
Conclusion
Quite a brief overview of digital twin tech!
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