(782a) Role of physics based models for digital twins | AIChE

(782a) Role of physics based models for digital twins

Models are imaginary representations of the world that we build to understand it. They help us navigate the complexity involved in the naturally occurring physico-chemical processes. This can be utilized to design engineering solutions that are necessary for as a civilization such as power generation, chemical manufacture and others.

Models can be created based on recorded data (using ML and data analytics) as well as starting from fundamental principles of physics. Building physics based models that capture details and then translate them in to reduce models (rather than other way around) that can be utilized during operations is a prudent way to ensure safety and avoid errors.
The advancement and consistent adoption of cutting-edge digital simulation is critical to this future, and necessary in order to respond to the concerns of the market and of the public. Predictive modeling and simulation (M&S) techniques for reactor thermal hydraulics (TH) are essential to bringing the desired improvements to the economics and safety standards of process & power plants.

In this workshop, starting from the high level concept of digital twins for chemical and nuclear operations, we will dive in to the details of design and eventually capturing flow and turbulence behavior. This will set the importance of accurate physics based models for creating such digital twins. IT will be explained with the help of examples. We will also talk about the tools necessary to accomplish this as well as how they need to be integrated in to a common engineering process.