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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

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

    Swiss Plasma Center, EPFL, EPFL Swiss Plasma Center, École Normale Supérieure – PSL

  • Olivier Sauter

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

  • Simon Van Mulders

    EPFL Swiss Plasma Center

  • Reinart Coosemans

    EPFL Swiss Plasma Center

  • Garance Durr-Legoupil-Nicoud

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

  • Federico Felici

    Google DeepMind

  • Olivier Fevrier

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

  • Cosmas Heiss

    Swiss Plasma Center, EPFL, EPFL Swiss Plasma Center

  • Alessandro Pau

    EPFL-SPC

  • Yoeri Poels

    EPFL-SPC

  • Benoit Labit

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

  • Cristina Venturini

    EPFL-SPC