TIARA analysis of tritium inventory in Li{sub 2}O

Conference · Sat Dec 31 04:00:00 EST 1994

OSTI ID:197876

Billone, M C ^[1]

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1. Argonne National Lab., IL (United States)

The TIARA code has been developed to predict tritium inventory in lithium-based solid breeders and purge gas flow rate and composition under steady operating conditions for a fusion reactor blanket. Inventory predictions are based on models for bulk diffusion, surface desorption, solubility and precipitation. Current code capabilities include Li{sub 2}O model parameters and one-dimensional analysis of plate, solid cylinder and hollow cylinder geometries. Input parameters consist of inlet purge composition, flow rate and partial pressures, sample geometry, microstructural parameters (e.g., grain size, porosity, and specific pore-solid surface area), uniform tritium generation rate, and a one-dimensional temperature profile. In effect, two dimensional profiles are predicted for both the gas composition/partial-pressure and the inventory. Starting at the purge inlet, the partial pressures of tritiated species in the breeder interconnected porosity are calculated based on gas-phase equilibrium. These partial pressures, along with the temperature profile through the breeder thickness and the tritium generation rate, are used in the tritium retention models to predict a tritium inventory profile across the thickness of the breeder. The TIARA analysis then moves to the next axial node along the purge flow direction, calculates the increase in purge partial pressures of the tritiated species, and then repeats the calculation of partial pressures and inventories across the breeder.

• OSTI ID: 197876
• Report Number(s): CONF-940664--
• Country of Publication: United States
• Language: English

Related Subjects

70 PLASMA PHYSICS AND FUSION TECHNOLOGY
BREEDING BLANKETS
COMPUTERIZED SIMULATION
INVENTORIES
LITHIUM OXIDES
T CODES
TRITIUM
TRITIUM RECOVERY