ILIB: Inprocess Library of Training Modules
ILIB is the collection of Training Modules on Process Simulation and related subjects that have been developed and maintained by Inprocess experts over the last 25 years,
Multi-purpose Dynamic Simulation: Operations & Maintenance support
Achieve Operational Excellence using the digital plant to support your O&M decisions.
Multi-purpose Dynamic Simulation: Operator Training System
Train your operations staff with an exact replica of the control room configuration.
Multi-purpose Dynamic Simulation: Startup support
Avoid delays in plant start-ups using the expertise of Inprocess’ OTS engineers.
Process Simulation Training Courses
Improve your ability and confidence in the use of the technology: Apply innovative simulation techniques to your daily tasks. Solve industry problems as efficiently as possible. Merge engineering knowledge with industry procedures. Take ownership of others’ simulations. Incorporate simulation best practices.
Inprocess Infrastructure Suite
One of the key components of an Operator Training System is the station from where the instructor leads and monitors the training sessions. Inprocess has developed an instructor station software that allows users to
Dynamic simulation tools for isotopic separation system modeling and design
Cryogenic distillation is the best candidate for hydrogen isotopic separation in fusion power plants. The design of the ITER’s Isotope Separation System can still undergo major changes due to its close contact with the Water Detritiation System and this will be decisive in the design of future DEMO detritiation facilities.
Cooling Water Networks Analysis
Finding bottlenecks in cooling water network to improve the operability of the plant and reduce the power consumption and waste of water.
Design and Troubleshooting of Compressor Systems by using Dynamic Process Simulation
The use of dynamic process simulation has been established in the last few years as a reliable and effective tool to analyse transient behaviour of process systems. The transient analysis of these operations is critical to evaluate the dynamic behaviour of the compressor system and the associated control and safety systems.
SMART_TC: an R&D Programme on uses of artificial intelligence techniques for tritium monitoring in complex ITER-like tritium plant systems
The realization of nuclear fusion energy is nowadays based on the concept of tritium breeding and the success of the ITER experiment. The latter relies today on a static monitoring approach to fulfill the emission limits imposed by the regulatory institutions.
