Optimal pump regeneration model for fuel cycle of ITER

摘要

This paper proposes an optimal regeneration model for the Vacuum Roughing System (VRS) of the fuel cycle of a fusion power plant. The objective is to minimize the tritium inventory inside the Torus Cryopump of the VRS while ensuring supply of the required amount of fuel considering fueling stages: ramp-up, flat-top, and rampdown. The model is formulated as a mixed integer linear programming problem based on the state-task network approach. Case studies of inductive, hybrid, and non-inductive tokamak operation modes are presented to illustrate the applicability of the proposed modeling and solution method. The presented pumping assumption is expected to provide many useful insights to guide optimization of pump-regeneration scheduling.