Plasma (Jul 2023)

Validating the Multi-Mode Model’s Ability to Reproduce Diverse Tokamak Scenarios

  • Tariq Rafiq,
  • Zibo Wang,
  • Shira Morosohk,
  • Eugenio Schuster,
  • Jan Weiland,
  • Wilkie Choi,
  • Hyun-Tae Kim

DOI
https://doi.org/10.3390/plasma6030030
Journal volume & issue
Vol. 6, no. 3
pp. 435 – 458

Abstract

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A large-scale validation exercise was conducted to assess the multi-mode model (MMM) anomalous transport model in the integrated modeling code TRANSP. The validation included 6 EAST discharges, 17 KSTAR discharges, 72 JET ITER-like wall D-D discharges, and 4 DIII-D fusion plasma discharges. Using the MMM, the study computed anomalous thermal, particle, impurity, and momentum transport within TRANSP. Simulations for EAST, KSTAR, and JET focused on electron and ion temperatures and safety factor profiles, while DIII-D simulations also considered electron density, toroidal rotation frequency, and flow shear. The predicted profiles were compared to experimental data at the diagnostic time, quantifying the comparison using root-mean-square (RMS) deviation and relative offsets. The study found an average RMS deviation of 9.3% for predicted electron temperature and 10.5% for ion temperature, falling within the experimental measurement error range 20%. The MMM model demonstrated computational efficiency and the ability to accurately reproduce a wide range of discharges, including various scenarios and plasma parameters, such as plasma density, gyroradius, collisionality, beta, safety factor and heating method variations.

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