ITER Dynamic Tritium Inventory Modeling Code

TL;DR: The ITER fuel cycle is designed to handle considerable flow rates of tritium with high flexibility and reliability; experimental work is ongoing to validate these designs Cryo-pumping systems for torus exhaust and neutral beam injectors have been tested to confirm fast regeneration scenarios and to reduce the accumulation of semi-permanent inventories of tritiated impurities as mentioned in this paper.

TL;DR: In this paper, an experimental facility called TRENTA and representative of the ITER WDS and ISS protium separation column has been commissioned at Tritium Laboratory Karlsruhe (TLK), consisting of Combined Electrolysis Catalytic Exchange (CECE) process, with an LPCE column of 8m, in combination with a cryogenic distillation (CD) process.

TL;DR: In this paper, the authors proposed a dynamic control policy to minimize the tritium inventory and satisfy the product quality specifications in a hydrogen isotope separation system, which is based on a rigorous dynamic model for packed columns to simulate realistic behaviors of cryogenic distillation.

TL;DR: In this paper, the authors proposed a fuel handling strategy during tritium inventory assessment in the main sub-systems of the ITER Fuel Cycle, based on the dynamic modelling code TRIMO.

TL;DR: In this article, the underlying physical processes and the existing experimental database of plasma-material interactions both in tokamaks and laboratory simulation facilities for conditions of direct relevance to next-step fusion reactors are reviewed.

TL;DR: The TEP process is designed to be fully continuous and based on permeation of hydrogen isotopes through palladium/silver (first process step), heterogeneously catalyzed cracking or conversion reactions (second process step) and countercurrent isotopic swamping (third process step). The overall decontamination factor for tritium removal from tokamak exhaust gas at a composition as specified for the DT phase of ITER is at least 10 8.

TL;DR: CFTSIM as discussed by the authors is a dynamic fuel cycle model for the ITER tritium processing system, which can be used to understand and optimize the behavior of ITER fuel cycle, and also has an easier-to-use graphical interface.

TL;DR: In this article, the authors presented a steady state and dynamic simulation study of the ITER Hydrogen Isotope Separation System (ISS) under start-up conditions using the DYNSIM code.