Recent Development Status of Virtual-KSTAR

We present Virtual-KSTAR (V-KSTAR), a digital twin study aimed at establishing a unified machine/fusion data framework and simulation workflows. Through the utilization of the game engine technology, V-KSTAR effectively visualizes machine data obtained from CAD (Computer-Aided Design) files, as well as plasma/simulation data derived from simulations. By accumulating simulation technology and validating simulations on KSTAR and ITER experiments, V-KSTAR would play a key role in the design and construction of the Korean DEMO reactor.

Recent advancements in V-KSTAR include the integration of the tokamak/fusion data model from IMAS (Integrated Modeling & Analysis Suite) and the conversion of legacy data into a standardized format. Building upon the data framework, V-KSTAR incorporates an analysis system with specific simulation workflows such as ECH, NBI, and RMP. This not only enables researchers to investigate discharges in more detail in a traditional way, but also to gain novel insights from a 3D perspective. The utilization of computational meshes derived from the CAD data ensures the consistency of the data throughout the analysis workflows.

In this presentation, the current status and recent achievements of V-KSTAR development are presented. The integration of the standard data model into the digital twin and analysis system are shown in detail. Additionally, we will discuss our plans to leverage machine learning or artificial intelligence to accelerate simulations.