A new era in Plant Digitalization

Today’s society is growing and learning in a new era, the age of computing. At the same time, year after year, new generations of central processing units (CPUs) and graphics processing units (GPUs) are coming onto the market, all linked to different machine learning (ML) algorithms that are gradually being integrated into society. Most of the algorithms in use today were created decades ago.

Modeling the Tokamak Exhaust Processing System in a Commercial Simulator for Process Monitoring Purposes

Tritium represents a hazard due to its radioactivity and migration properties. Because of these difficulties, ITER, the largest fusion experiment so far, relies on a conservative static procedure to monitor the tritium inventory. Future commercial fusion plants can avoid operation halts if a dynamic monitoring strategy proves itself valid.

Relief Flare Analysis using a Dynamic Simulation Model of your Plant

The common solution in industry when a flare system reaches its limits it to increase its capacity: CAPEX solution. As experts of the domain, Inprocess proposes Dynamic Simulation Model for higher accuracy of behavior prediction as well as for alternative solutions for flare capacity issues.

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.

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.

Beyond Guesswork

During a flare release, the temperature of the flare network has a strong dependence on the relief source and on ambient conditions. During a relief of hot gases, contraction of the gases could occur due to the cool-down to ambient conditions. The rate of contraction velocity is accelerated if cooling leads to condensation of the contained gas components.

Advanced Tools for ITER Tritium Plant System Modeling & Design

Chemical plant system modeling experience based on the use of largely validated commercial modeling tools such as the Aspen HYSYS is adapted and exploited to develop numeric routines for unitary isotopic operations, including permeation, cold trapping, reversible absorption, and cryogenic distillation, for the ITER tritium plant systems.

Sustaining Operational Excellence

For more than a decade, refinery panel operators at Preemraff have been coached on safety and operation excellence by hands-on training with an operator training simulator (OTS). The fluidised catalytic cracker (FCC) at the Lysekil Refinery was the first refinery unit for which an OTS was built.