Russia Develops Digital Twins for Coke Production Processes
Scientists in Siberia are building a digital twin of coke production, aiming to cut costs, improve product quality, and lay the groundwork for a universal AI-driven simulation platform.
Researchers at Siberian Federal University are developing a digital twin of coke production processes. The project is expected to make it possible to manufacture fuels and other chemical products with specific properties while reducing production costs.
According to project lead Vladimir Bukhtoyarov, head of the university’s department, the team has already created an integrated system of models that includes more than 10 high-precision algorithms for predicting the quality of coke products. This setup adapts to real-world facilities, ensuring output that matches customer demands.
Across Russia, digital twins are increasingly widespread. Virtual replicas are already used to model nuclear fuel reprocessing, manage radioactive waste, run warehouse logistics, and even grow plants in vertical city farms.
