Prediction of Performance and Turbulence in ITER Burning Plasmas via Nonlinear Gyrokinetic Profile Prediction
N.T. Howard, P. Rodriguez-Fernandez, C. Holland, J. Candy

TL;DR
This paper uses nonlinear gyrokinetic simulations combined with surrogate modeling to predict plasma performance, turbulence, and isotope effects in ITER, demonstrating the potential to optimize fusion gain and understand isotope influences with reduced computational effort.
Contribution
The study introduces a surrogate modeling approach to efficiently predict detailed plasma profiles and performance metrics in ITER scenarios, including isotope effects and turbulence characteristics.
Findings
Predicted fusion power ~500MW at Q=10 aligns with goals.
Energy confinement within 1 sigma of H-mode scaling.
Weak isotope effects on core turbulence in ITER conditions.
Abstract
Burning plasma performance, transport, and the effect of hydrogen isotope on confinement has been predicted for ITER baseline scenario (IBS) conditions using nonlinear gyrokinetic profile predictions. Accelerated by surrogate modeling [P. Rodriguez-Fernandez NF 2022], high fidelity, nonlinear gyrokinetic simulations performed with the CGYRO code [J. Candy JCP 2016], were used to predict profiles of Ti, Te, and ne while including the effects of alpha heating, auxiliary power, collisional energy exchange, and radiation losses. Predicted profiles and resulting energy confinement are found to produce fusion power and gain that are approximately consistent with mission goals (Pfusion = 500MW at Q=10) for the baseline scenario and exhibit energy confinement that is within 1 sigma of the H-mode energy confinement scaling. The power of the surrogate modeling technique is demonstrated through…
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Taxonomy
TopicsMagnetic confinement fusion research · Ionosphere and magnetosphere dynamics · Solar and Space Plasma Dynamics
