His presentation will focus on advanced and reusable modeling approaches for both research and industrial applications — including copolymer sequence analysis, polycondensation models, emulsion polymerization, and catalytic systems with variable active sites. The talk will also reflect on how modeling demands have changed and why transparency and long-term usability remain critical today.

Later that day, Dr. Wulkow will host a hands-on workshop introducing key concepts of model building and parameter estimation with Predici. This session is open to all conference participants and especially useful for those new to the software.

A free Predici setup will be available for registered PRE participants ahead of the event.

With the Predici Maxwell release and the next version of Petro‑SIM, several powerful new features are now available for integrated process simulation.

A key addition is the new shooting control mechanism, enabling seamless modeling of countercurrent cooling in plug flow reactors (PFRs) and dynamic online tuning of process behavior.

Predici models — including those using full distribution mode — can now be effortlessly embedded into Petro‑SIM flowsheets, allowing detailed kinetic and polymer modeling to be part of plant-wide simulations.

This extended interoperability opens up new possibilities for polymerization modeling within larger process frameworks.

The integration was developed in collaboration with KBC (a Yokogawa company) and is available to licensed users.

The Predici–Petro‑SIM collaboration began in 2022, combining Predici’s strength in polymer reaction modeling with Petro‑SIM’s advanced flowsheeting capabilities for steady-state and dynamic simulation. From the start, the goal was to make detailed, reusable polymer models directly accessible within larger process designs — without added coding or interface development.