Abstract
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 ramp-down. 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
