Pulse Planning and Simulation for the First Campaign of SPARC

POSTER

Abstract

The mission of the first SPARC campaign is to commission systems and achieve Q > 1 in an L-mode scenario. Pulse scenarios for the first operational campaign of SPARC are prepared using MOSAIC, a flexible, collaborative framework for fast, full-pulse calculations. MOSAIC couples reduced models written in different languages to accomplish both Pulse Planning and Pulse Simulating calculations. Pulse Planning workflows use optimization algorithms to identify full-pulse trajectories that satisfy the mission of the pulse while maximizing margin to system limits, such as the requirements for plasma facing component protection. Pulse Planning workflows provide targets for Pulse Simulating workflows, where the SPARC plasma control system is coupled to models for complete closed-loop calculations. The models focus on the low- and medium-fidelity that enable rapid simulations on a single processor. Pulse Simulating workflows qualify that the control system can deliver the mission of the pulse and support the development and testing of disruption prediction and response algorithms. A simulation suite called POPSIM leverages the JAX language and the newly released TORAX code to produce rapid full-pulse simulations for operational scoping and sensitivity analysis within MOSAIC.

*Funded by Commonwealth Fusion Systems

Presenters

  • Devon J Battaglia

    • Commonwealth Fusion Systems

Authors

  • Devon J Battaglia

    • Commonwealth Fusion Systems
  • Thomas Alfred John Body

    • Commonwealth Fusion Systems
  • Dan D Boyer

    • Commonwealth Fusion Systems
  • Christoph Hasse

    • Commonwealth Fusion Systems
  • Panagiotis Stilianos Kaloyannis

    • Commonwealth Fusion Systems
  • Tom Looby

    • Commonwealth Fusion Systems
  • Ryan M Sweeney

    • Commonwealth Fusion Systems
  • Anna A Teplukhina

    • Commonwealth Fusion Systems
  • Josiah Wai

    • Commonwealth Fusion Systems
  • Chris Woodall

    • Commonwealth Fusion Systems
  • Jonathan Citrin

    • Google DeepMind
  • Federico Felici

    • Google DeepMind
  • Alex R Saperstein

    • Massachusetts Institute of Technology
  • Allen Wang

    • Massachusetts Institute of Technology