On benchmarking of simulations of particle transport in ITER

被引：15

作者：

Na, Yong-Su ^{[1
]}

Koechl, F. ^{[2
]}

Polevoi, A. R. ^{[3
]}

Byun, C. S. ^{[1
]}

Na, D. H. ^{[1
]}

Seo, J. ^{[1
]}

Felici, F. ^{[4
]}

Fukuyama, A. ^{[5
]}

Garcia, J. ^{[6
]}

Hayashi, N. ^{[7
]}

Kessel, C. E. ^{[8
]}

Luce, T. ^{[3
]}

Park, J. M. ^{[9
]}

Poli, F. ^{[8
]}

Sauter, O. ^{[10
]}

Sips, A. C. C. ^{[11
]}

Strand, P. ^{[12
]}

Teplukhina, A. ^{[10
]}

Voitsekhovitch, I ^{[13
]}

Wisitsorasak, A. ^{[14
]}

Yuan, X. ^{[8
]}

机构：

[1] Seoul Natl Univ, Dept Nucl Engn, Seoul, South Korea

[2] United Kingdom Atom Energy Author, Culham Ctr Fus Energy, Culham Sci Ctr, Abingdon OX14 3DB, Oxon, England

[3] ITER Org, Route Vinon Sur Verdon,CS 90 046, F-13067 St Paul Les Durance, France

[4] Eindhoven Univ Technol, Eindhoven, Netherlands

[5] Kyoto Univ, Kyoto, Japan

[6] CEA, IRFM, F-13108 St Paul Les Durance, France

[7] Natl Inst Quantum & Radiol Sci & Technol, Naka, Ibaraki 3110193, Japan

[8] Princeton Plasma Phys Lab, POB 451, Princeton, NJ 08543 USA

[9] Oak Ridge Natl Lab, Oak Ridge, TN USA

[10] Ecole Polytech Fed Lausanne, SPC, CH-1015 Lausanne, Switzerland

[11] JET Exploitat Unit, Culham Sci Ctr, Abingdon OX14 3DB, Oxon, England

[12] Chalmers Univ Technol, Dept Space Earth & Environm, Gothenburg, Sweden

[13] EUROfusion, Garching, Germany

[14] King Mongkuts Univ Technol Thonburi, Bangkok, Thailand

来源：

NUCLEAR FUSION | 2019年 / 59卷 / 07期

基金：

瑞士国家科学基金会; 英国工程与自然科学研究理事会;

关键词：

particle transport; pellet fuelling; gas fuelling; tokamak; modelling; benchmarking; ELMY H-MODE; PEAKING;

D O I：

10.1088/1741-4326/ab15e0

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

We report results of benchmarking of core particle transport simulations by a collection of codes widely used in transport modelling of tokamak plasmas. Our analysis includes formulation of transport equations, difference between electron and ion solvers, comparison of modules of the pellet and edge gas fuelling on the ITER baseline scenario. During the first phase of benchmarking we address the particle transport effects in the stationary phase. Firstly, simulations are performed with identical sources, sinks, transport coefficients, and boundary conditions prescribed in the flattop H-mode phase. The transformation of ion particle transport equations is introduced so to directly compare their results to electron transport solvers. Secondly, the pellet fuelling models are benchmarked in various conditions to evaluate the dependency of the pellet deposition on the pellet volume, injection side, pedestal, and separatrix parameters. Thirdly, edge gas fuelling is benchmarked to assess sensitivities of source profile predictions to uncertainties in plasma conditions and detailed model assumptions. At the second phase, we address particle transport effects in the time- evolving plasma including the current ramp-up to the ramp-down phase. The ion and the electron solvers are benchmarked together. Differences between the simulation results of the solvers are investigated in terms of equilibrium, grid resolution, radial coordinate, radial grid distribution, and plasma volume evolution term. We found that the selection of the radial coordinate can yield prominent differences between the solvers mainly due to differences in the edge grid distribution. The simulations reveal that electron and ion solvers predict noticeably different density peaking for the same diffusion and pinch velocity while with the peaked profile of helium, expected in fusion reactors. The fuelling benchmarking shows that gas puffing is not efficient for core fuelling in H-modes and density control should be done by the high field side pellet injection in contrast to present machines.

引用

页数：24

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