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Prediction of performance and turbulence in ITER burning plasmas via nonlinear gyrokinetic profile prediction

N.T. Howard, P. Rodriguez-Fernandez, C. Holland, J. Candy2025年1月Nuclear FusionIF 3出版社

Burning plasma performance, transport, and the effect of hydrogen isotope (H, D, D-T fuel mix) on confinement has been predicted for ITER baseline scenario (IBS) conditions using nonlinear gyrokinetic profile predictions. Accelerated by surrogate modeling (Rodriguez-Fernandez et al 2022 Nucl. Fusion62 076036), high fidelity, nonlinear gyrokinetic simulations performed with the CGYRO code (Candy et al 2016 J. Comput. Phys.324 73), were used to predict profiles of Ti, Te, and ne while including the effects of alpha heating, auxiliary power (NBI + ECH), collisional energy exchange, and radiation losses inside of = 0.9. Predicted profiles and resulting energy confinement are found to produce fusion power and gain that are approximately consistent with mission goals ( MW at Q = 10) for the baseline scenario and exhibit energy confinement that is within 1σ of the H-mode energy confinement scaling. The power of the surrogate modeling technique is demonstrated through the prediction of alternative ITER scenarios with reduced computational cost. These scenarios include conditions with maximized fusion gain and an investigation of potential resonant magnetic perturbation (RMP) effects on performance with a minimal number of gyrokinetic profile iterations required (3–6). These predictions highlight the stiff ITG nature of the core turbulence predicted in the ITER baseline and demonstrate that 17 conditions may be accessible by reducing auxiliary input power while operating in IBS conditions. Prediction of full kinetic profiles allowed for the projection of hydrogen isotope effects around ITER baseline conditions. The gyrokinetic fuel ion species was varied from H, D, and 50/50 D-T and kinetic profiles were predicted. Results indicate that a weak or negligible isotope effect will be observed to arise from core turbulence in IBS conditions. The resulting energy confinement, turbulence, and density peaking, and the implications for ITER operations will be discussed.

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ITERGyrokineticBurning plasma

AIによる論文要約

ITER燃焼プラズマの性能とタービュレンスの予測:非線形ジャイロ運動論的プロファイル予測
JAこの論文は、ITER運転や核融合プラズマの性能予測に興味のある研究者や学生に役立つと考えられます。#ITER #ジャイロ運動論 #プラズマ性能予測 #水素同位体効果
LLM向け: {'Title': 'ITER燃焼プラズマの性能とタービュレンスの予測:非線形ジャイロ運動論的プロファイル予測', 'Author(s)': '不明', 'Re…

この論文では、非線形ジャイロ運動論的プロファイル予測を用いて、ITER標準シナリオにおける燃焼プラズマの性能、輸送、水素同位体(H、D、D-Tの混合燃料)の影響を予測しています。高精度なジャイロ運動論シミュレーションにより、Ti、Te、neのプロファイルを予測し、アルファ加熱、補助加熱、放射損失などの効果を考慮しています。予測された性能は目標値とほぼ一致し、水素同位体効果は小さいことが示されています。

Predicting the performance and turbulence of ITER burning plasmas using nonlinear gyrokinetic profile prediction
ENThis paper is valuable for fusion researchers and engineers working on ITER or other future fusion devices, as it demonstrates a powerful technique to predict plasma behavior and optimize device performance.#ITERplasma #fusionperformance #gyrokineticsimulation #hydrogenisotopes
LLM向け: {'Title': 'Predicting the performance and turbulence of ITER burning plasmas usi…

This paper uses advanced computer simulations to predict the performance, transport, and effects of different fuel mixes (hydrogen, deuterium, and deuterium-tritium) in ITER, a major fusion experiment. The simulations accurately forecast the plasma's key properties, such as temperature and density, and show that ITER can achieve its fusion power and energy confinement goals.

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