Pre-shot transport-equilibrium simulations and optimization of ITB scenarios for TCV

POSTER

Abstract

Developing automatic pre-shot simulations for tokamak operations is an important step towards validation of physics models and the improvement of control and pulse design strategies. We present results obtained with RAPTOR, a fast transport solver designed for real-time control [1] and scenario optimization [2]. Fast automated simulations of the core region have recently been developed for full TCV discharges, including L- and H-mode positive and negative trianguarity plasmas, only using information from the pulse planning ; and are coupled to the free-boundary Grad-Shafranov solver FBT [3] to solve the inverse equilibrium problem estimating the poloidal coil currents required to maintain the desired shape with realistic profile evolution.

We extended this predict-first pulse simulator with EC heating and current drive, by coupling TORBEAM [4] to RAPTOR and FBT, for fast validation of electron transport barriers (eITBs) scenarios. The EC and NBI heat deposition locations and timings are optimized to shape the current density profile, helping to develop robust scenarios for triggering and maintaining eITBs. These pre-shot simulations then serve to inform the RAPTOR real-time observer and feedforward coil current calculation, facilitating the control of kinetic profiles and plasma shape during ITB experiments.

[1] F. Felici et al. Nucl. Fus. 58(096006) 2018

[2] S. Van Mulders et al. Nucl. Fus. 64(026021) 2024

[3] F. Hofmann. Comp. Phys. Commun. 48(2) 1988

[4] E. Poli and al. Comp. Phys. Commun. 225, 2018

*This work has been carried out within the framework of the EUROfusion Consortium, partially funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 — EUROfusion). The Swiss contribution to this work has been funded by the Swiss State Secretariat for Education, Research and Innovation (SERI). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Commission or SERI. Neither the European Union nor the European Commission nor SERI can be held responsible for them. This work was supported in part by the Swiss National Science Foundation.

Presenters

  • Cassandre E Contré

    • EPFL Swiss Plasma Center

Authors

  • Cassandre E Contré

    • EPFL Swiss Plasma Center
  • Antonia Frank

    • EPFL Swiss Plasma Center
    • EPFL, Swiss Plasma Center (SPC)
  • Antoine Merle

    • École Normale Supérieure – PSL
    • EPFL Swiss Plasma Center
    • Swiss Plasma Center, EPFL
  • Olivier Sauter

    • EPFL Swiss Plasma Center
    • EPFL, Swiss Plasma Center (SPC)
    • École Polytechnique Fédérale de Lausanne, Swiss Plasma Center, CH-1015 Lausanne, Switzerland
    • SPC-EPFL
  • Simon Van Mulders

    • EPFL Swiss Plasma Center
  • Reinart Coosemans

    • EPFL Swiss Plasma Center
  • Garance Durr-Legoupil-Nicoud

    • EPFL Swiss Plasma Center
    • EPFL - Swiss Plasma Center (SPC)
    • École Polytechnique Fédérale de Lausanne
  • Federico Felici

    • Google DeepMind
  • Olivier Fevrier

    • EPFL - Swiss Plasma Center (SPC)
    • EPFL Swiss Plasma Center
    • École Polytechnique Fédérale de Lausanne
    • Swiss Plasma Center, EPFL, Lausanne
  • Cosmas Heiss

    • Swiss Plasma Center, EPFL
    • EPFL Swiss Plasma Center
  • Alessandro Pau

    • EPFL-SPC
  • Yoeri Poels

    • EPFL-SPC
  • Benoit Labit

    • EPFL Swiss Plasma Center
    • École Polytechnique Fédérale de Lausanne, Swiss Plasma Center, CH-1015 Lausanne, Switzerland
    • École Polytechnique Fédérale de Lausanne
  • Cristina Venturini

    • EPFL-SPC