Bulletin of the American Physical Society
66th Annual Meeting of the APS Division of Plasma Physics
Monday–Friday, October 7–11, 2024; Atlanta, Georgia
Session UP12: Poster Session VIII:
Particle acceleration, beams and relativistic plasmas: Laser-driven sources, Relativistic interactions and Diagnostics and Measurement Techniques
MFE Disruptions Avoidance and Divertor Physics
ICF2: Advanced diagnostics and measurement innovation; Laser-plasma instabilities; Hohlraum and x-ray cavity physics; Hydrodynamic instability; ICF concepts and drivers; Ignition physics
High Energy Density Diagnostics
2:00 PM - 5:00 PM
Thursday, October 10, 2024
Hyatt Regency
Room: Grand Hall West
Abstract: UP12.00020 : Thermal storage system requirements and ramp-up considerations to maintain electrical grid stability in the event of tokamak disruption*
Presenter:
Amelia Chambliss
(Columbia University)
Authors:
Amelia Chambliss
(Columbia University)
Slaven Peles
(Oak Ridge National Laboratory)
Grid stability can inform the design stage of fusion reactors to ensure reliability and adherence to operational standards. Fusion poses unique challenges to grid stability due to its behavior as a significant load during startup. We use a multi-bus model to probe grid stability in the event of tokamak disruption and subsequent ramp-up. Each bus is a synchronous machine with an exciter and turbine-governor for stability controls. We use DEMO specifications to inform the model tokamak initial values of ramp-rates and startup power.3,4 The tokamak was modeled to include a steam generation system connected to the synchronous machine. A molten salt storage system was included and total storage was varied to determine the minimum possible thermal storage capacity necessary to enable stability recovery in the event of disruption.5 Ramp rates on startup were also varied to evaluate impact and inform future reactor designs.
1 Lin, Ning et al. 2021
2 Smith, O. et al. 2022
3 Minucci, S. et al. 2020
4 Takeda et al. 2015
5 Schwartz et al. 2023
*This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the DOE Public Access Plan (https://energy.gov/doe-public-access-plan). This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Department of Energy Computational Science Graduate Fellowship under Award Number(s) DE-SC0024386.
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