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Optimizing numerical simulation of beam ion loss due to toroidal field ripple on EXL-50U spherical torus

Hao Bao-Long Li Ying-Ying Chen Wei Hao Guang-Zhou Gu Xiang Sun Tian-Tian Wang Yu-Min Dong Jia-Qi Yuan Bao-Shan Peng Yuan-Kai Shi Yue-Jiang Xie Hua-Sheng Liu Min-Sheng ENN TEAM

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Optimizing numerical simulation of beam ion loss due to toroidal field ripple on EXL-50U spherical torus

Hao Bao-Long, Li Ying-Ying, Chen Wei, Hao Guang-Zhou, Gu Xiang, Sun Tian-Tian, Wang Yu-Min, Dong Jia-Qi, Yuan Bao-Shan, Peng Yuan-Kai, Shi Yue-Jiang, Xie Hua-Sheng, Liu Min-Sheng, ENN TEAM
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  • Realization of high performance plasma of EXL-50U is very sensitive to NBI (neutral beam injection) heating, and it is expected that the fast ions of NBI are confined well and their energy is transferred to the background plasma by collision moderating. In this paper, the loss of fast ion ripple is simulated based on the equilibrium configuration, fast ion distribution and device waviness data given by the integrated simulation. It is found that the loss fraction of fast ion ripple is about 37%, and the local hot spot is about 0.6 MW/m2, which is unacceptable for the experimental operation of the device. The optimization method includes moving the plasma position and adding FI (ferritic steel plug-in) to reduce the ripple degree, increasing the Ip (plasma current) and optimizing the NBI injection angle. The results show that the ripple distribution must be controlled and the Ip must be increased to more than 600 kA, so that the fast ion loss can be reduced to 3%–4% and the local heat spot can be reduced by an order of magnitude. In this paper, the evaluation methods of fast ion ripple loss in device design are summarized, including the fast ion distribution in phase space, the overlap degree of ripple loss area, and the particle tracking on the time scale of total factor slowing down. The engineering and physical ways to reduce ripple loss are also summarized to provide simulation support for integrated simulation iterative optimization and plant operation.
      Corresponding author: Li Ying-Ying, liyingyinge@enn.cn
    • Funds: Project supported by the National Key R&D Program of China (Grant No. 2019YFE03020000), the Talent Program of Hebei Province, China (Grant No. 2021HBQZYCSB006), and the National Natural Science Foundation of China (Grant No. 11905142).
    [1]

    Chen J L, Jian X, Chan V S, Li Z Y, Deng Z, Li G Q, Guo W F, Shi N, Chen X, CFETR Physics Team 2017 Plasma Phys. Control. Fusion 59 075005Google Scholar

    [2]

    Gorelenkov N N, Pinches S D, Toi K 2014 Nucl. Fusion 54 125001Google Scholar

    [3]

    郝保龙, 陈伟, 蔡辉山, 李国强, 王丰, 吴斌, 王进芳, 陈佳乐, 王兆亮, 高翔, Chan Vincent, CFETR TEAM 2020 中国科学:物理学 力学 天文学 50 065201Google Scholar

    Hao B L, Chen W, Cai H S, Li G Q, Wang F, Wu B, Wang J F, Chen J L, Wang Z L, Gao X, Chan V, CFETR TEAM 2020 Sci. Sin. -Phys. Mech. Astron. 50 065201Google Scholar

    [4]

    Wu B, Hao B L, White R B, Wang J F, Zang Q, Han X F, Hu C D 2017 Plasma Phys. Control. Fusion 59 025004Google Scholar

    [5]

    Podesta M, Gorelenkova M, Gorelenkov N N, White R B 2017 Plasma Phys. Control. Fusion 59 095008Google Scholar

    [6]

    Taimourzadeh S, Bass E M, Chen Y, Collins C, Gorelenkov N N, Könies A, Lu Z X, Spong D A, Todo Y, Austin M E, Bao J, Biancalani A, Borchardt M, Bottino A, Heidbrink W W, Kleiber R, Lin Z, Mishchenko A, Shi L, Varela J, Waltz R E, Yu G, Zhang W L, Zhu Y 2019 Nucl. Fusion 59 066006Google Scholar

    [7]

    Duarte V N, Lestz J B, Gorelenkov N N, White R B 2023 Phys. Rev. Lett. 130 105101Google Scholar

    [8]

    Pankin A, McCune D, Andre R, Bateman G, Kritz A 2004 Comput. Phys. Commun. 159 157Google Scholar

    [9]

    White R B, Rutherford P H, Colestock P, Bussac M N 1988 Phys. Rev. Lett. 60 2038Google Scholar

    [10]

    White R B 2014 The Theory of Toroidally Confined Plasmas (3rd Ed.) (Singapore: World Scientific Publishing Company

    [11]

    White R B, Boozer A H, Hay R 1982 Phys. Fluids 25 575Google Scholar

    [12]

    Redi M H, White R B, Batha S H, Levinton F M, McCune D C 1997 Phys. Plasmas 4 4001Google Scholar

    [13]

    Redi M H, Zarnstorff M C, White R B, Budny R V, Janos A C, Owens D K, Schivell J F, Scott S D, Zweben S J 1995 Nucl. Fusion 35 1191Google Scholar

    [14]

    Redi M H, Budny R V, McCune D C, Miller C O, White R B 1996 Phys. Plasmas 3 3037Google Scholar

    [15]

    郝保龙, 陈伟, 李国强, 王晓静, 王兆亮, 吴斌, 臧庆, 揭银先, 林晓东, 高翔, CFETR Team 2021 70 115201Google Scholar

    Hao B L, Chen W, Li G Q, Wang X J, Wang Z L, Wu B, Zang Q, Jie Y X, Lin X D, Gao X, CFETR Team 2021 Acta Phys. Sin. 70 115201Google Scholar

    [16]

    Wesson J Tokamaks 2011 (New York: Oxford University Press

    [17]

    Hao B L, White R B, Gao X, Li G Q, Chen W, Wang X J, Wu B, Wu M Q, Zhu X, Lin X D, Jie Y X, Zang Q, Li J G, Wan Y X, CFETR Physics Team 2021 Nucl. Fusion 61 046035Google Scholar

    [18]

    Boozer A H, Kuo-Petravic G, 1981 Phys. Fluids 24 851Google Scholar

    [19]

    Kramer G J, McLean A, Brooks N, Budny R V, Chen X, Heidbrink W W, Kurki-Suonio T, Nazikian R, Koskela T, Schaffer M J, Shinohara K, Snipes J A, Van Zeeland M A 2013 Nucl. Fusion 53 123018Google Scholar

    [20]

    ITER Physics Expert Group on Energetic Particles, Heating and Current Drive and ITER Physics Basis Editors 1999 Nucl. Fusion 39 2495Google Scholar

    [21]

    Tobita K, Nakayama T, Konovalov S V, Sato M 2003 Plasma Phys. Control. Fusion 45 133Google Scholar

    [22]

    Pinches S D, Chapman I T, Lauber P W, Oliver H J C, Sharapov S E, Shinohara K, Tani K 2015 Phys. Plasmas 22 021807Google Scholar

  • 图 1  EXL-50U集成模拟设计中背景电子密度ne、温度Te和离子温度分布Ti

    Figure 1.  Distribution of bulk electron density ne, electron temperature Te and bulk ion temperature Ti in EXL-50U integrated modeling.

    图 2  EXL-50U纵场波纹度分布 (a) 解析函数实现值; (b) 工程设计值

    Figure 2.  Distribution of toroidal field ripple perturbation amplitude in EXL-50U: (a) Ripple data by analytical equation; (b) engineering data in design.

    图 4  EXL-50U装置波纹度不同R截面工程数据和数值拟合结果对比 (a) R = 0.5 m; (b) R = 0.7 m; (c) R = 0.9 m; (d) R = 1.1 m

    Figure 4.  Ripple comparison between engineering design and fitting curve in different R plane of EXL-50U: (a) R = 0.5 m; (b) R = 0.7 m; (c) R = 0.9 m; (d) R = 1.1 m.

    图 3  EXL-50U装置波纹度不同Z截面工程数据和数值拟合结果对比 (a) Z = 0 m; (b) Z = 0.3 m; (c) Z = 0.6 m; (d) Z = 0.9 m

    Figure 3.  Ripple comparison between engineering design and fitting curve in different Z plane of EXL-50U: (a) Z = 0 m; (b) Z = 0.3 m; (c) Z = 0.6 m; (d) Z = 0.9 m.

    图 5  EXL-50U上NBI快离子初始分布的粒子空间位置俯视图(a)和极向投影(b)

    Figure 5.  Initial distribution of beam ions in EXL-50U: (a) Bird’s view; (b) poloidal cross section.

    图 6  Orbit程序中读入的NBI快离子初始分布函数 (a) RZ空间分布; (b)粒子密度的极向磁通分布; (c)能量分布; (d) pitch角分布

    Figure 6.  Initial distribution of NBI fast ions read by Orbit code: (a) Particle location in RZ coordinate; (b) particle density distribution in poloidal flux; (c) energy distribution; (d) pitch angle distribution.

    图 7  EXL-50U集成模拟中使用的平衡位形和波纹场重建后的波纹损失区 (a) Boozer坐标系磁面; (b)波纹磁阱俘获损失区, 香蕉粒子转折点位于此区即损失; (c)无碰撞波纹随机扩散损失区, GWB判据

    Figure 7.  Equilibrium and ripple loss region in EXL-50U integrated modeling: (a) Magnetic flux surface in Boozer coordinate; (b) ripple well loss region, where banana tips in here will lost; (c) collisionless ripple stochastic diffusion region, plot with GWB criterion.

    图 8  (a) 初始能量固定时, 在($ {P_\zeta }, {{\mu {B_0}} \mathord{\left/ {\vphantom {{\mu {B_0}} E}} \right. } E} $)平面NBI快离子相空间的轨道类型分布; (b) 波纹损失区(随机波纹扩散GWB判据); (c) co-tang (较切向)的NBI快离子初始分布; (d) co-perp (较垂直) 的NBI快离子初始分布

    Figure 8.  (a) Orbit classification in the plane of ($ {P_\zeta }, {{\mu {B_0}} \mathord{\left/ {\vphantom {{\mu {B_0}} E}} \right. } E} $) with fixed initial energy of NBI fast ions; (b) region of stochastic ripple diffusion by GWB criterion; (c) co-tang initial NBI fast ion distribution; (d) co-perp initial NBI fast ion distribution.

    图 9  一个慢化时间后NBI快离子分布信息 (a) RZ空间分布; (b)径向坐标统计; (c)末态粒子能量; (d) pitch角统计

    Figure 9.  NBI fast ions distribution after one slowing down time calculation: (a) Particle location in RZ coordinate; (b) poloidal flux distribution; (c) particle energy in final time; (d) pitch angle distribution in final time.

    图 10  Co-perp快离子分布下的(a)损失粒子极向位置分布, (b)损失时间和能量记录, (c)损失份额的随时演化

    Figure 10.  (a) Poloidal distribution of lost particle, (b) lost time and energy record, (c) time evolution of loss fraction for co-perp beam ion distribution.

    图 11  一个慢化时间后损失的NBI快离子局域沉积在LCFS处得到的热负荷

    Figure 11.  Heat load at the last closed flux surface due to NBI fast ions loss after a slowing down time.

    图 12  LCFS的Rmax移动到1.32 m时的波纹损失区(GWB判据) (a) RZ平面; (b) ($ {P_\zeta }, {{\mu {B_0}} \mathord{\left/ {\vphantom {{\mu {B_0}} E}} \right. } E} $)平面

    Figure 12.  The GWB stochastic ripple diffusion regime: (a) RZ poloidal cross section; (b) in the plane of ($ {P_\zeta }, {{\mu {B_0}} \mathord{\left/ {\vphantom {{\mu {B_0}} E}} \right. } E} $).

    图 13  500 kA平衡位形LCFS Rmax~1.16时的(a), (c)波纹磁阱区和(b), (d)随机波纹扩散区 (a), (b)单独TF波纹场; (c), (d) TF+FI波纹场

    Figure 13.  Ripple well regime (a), (c) and stochastic ripple diffusion regime (b), (d) in 500 kA, Rmax~1.16 m equilibrium: (a), (b) TF ripple; (c), (d) TF+FI ripple.

    图 14  不同NBI注入角度下的NBI沉积路径的极向截面 (a)切向半径Rtang = 0.8 m, 离子源垂直中平面抬升Zelev = 0 m; (b)切向半径Rtang = 1.0 m, 离子源垂直中平面抬升Zelev = 0.6 m

    Figure 14.  Cross section of NBI deposition trajectory with different NBI geometry: (a) Beam tangency radius Rtang = 0.8 m, elevation of beam ion source above midplane Zelev = 0 m; (b) beam tangency radius Rtang = 1.0 m, elevation of beam ion source above midplane Zelev = 0.6 m.

    表 1  EXL-50U与其他托卡马克装置主机参数对比

    Table 1.  Main parameters comparison of EXL-50U and other tokomak facilities.

    参数 CFETR ITER HL-2M EAST EXL-50U
    磁轴场强
    $ {B_{T0}} $/T
    6.5 5.3 3 2 0.6–0.8
    等离子体大
    半径$ {R_0} $/m
    7.2 6.2 1.78 1.9 0.9
    等离子体小
    半径a/m
    2.2 2.0 0.62 0.5 0.45
    等离子体电流
    $ {I_{\text{p}}} $/MA
    14 15 3 1 0.5–1
    纵场磁体
    柄数 N
    16 18 20 16 12
    DownLoad: CSV

    表 2  EXL-50U与其他托卡马克装置纵场波纹数据拟合结果对比

    Table 2.  Ripple field fitting parameters comparison of EXL-50U and other tokomak facilities.

    Item CFETR ITER EAST EXL-50U
    $ {\delta _0} $ 1.57 × 10–5 3.75 × 10–6 1.26 × 10–4 4.19 × 10–8
    R0 = a + bZ 2 (m) 6 + 0.062Z 2 6.75 – 0.034 Z 2 1.71 – 0.18 Z 2 1.77 × 10–3 + 0.106 Z 2
    brip 0.021 0.26 0.26 0.297
    wrip/m 0.63 0.53 0.15 0.1034
    DownLoad: CSV

    表 3  基于集成模拟平衡位形和快离子分布的波纹损失全要素计算结果

    Table 3.  Ripple loss results of full calculation based on integrated modeling equilibrium and beam ion distribution.

    Trapped fraction/% Prompt loss/% Non-prompt loss/% Total loss/%
    Co-perp 39 3.3 33.7 37
    Co-tang 33 0.8 32.2 34
    DownLoad: CSV

    表 4  EXL-50U中固定 Ip = 500 kA, 不同Rmax时波纹损失计算结果

    Table 4.  Ripple loss results of different Rmax of LCFS equilibrium with Ip = 500 kA in EXL-50U.

    Trapped fraction/%Total loss/%
    Rmax =1.323 m53.730.5
    Rmax =1.298 m52.528.4
    Rmax =1.163 m45.820.8
    DownLoad: CSV

    表 5  不同NBI角度下的快离子分布中的捕获粒子份额

    Table 5.  Trapped particle faction of beam ions with different NBI geometry.

    Trapped fraction Zelev/m
    0 0.2 0.4 0.6
    Rtang = 0.407 m 0.37 0.385 0.39 0.39
    Rtang = 0.607 m 0.30 0.30 0.295 0.305
    Rtang = 0.807 m 0.255 0.245 0.245 0.25
    Rtang = 1.007 m 0.295 0.285 0.27 0.27
    DownLoad: CSV

    表 6  平衡位形LCFS Rmax ~1.16 m, Ip = 500 kA时不同NBI角度和束能Enb下的快离子损失份额

    Table 6.  Loss faction of NBI fast ions with different NBI geometry and beam energy in LCFS Rmax~1.16 m, Ip = 500 kA equilibrium.

    Total lossEnb/keV
    20253035404550
    R = 0.428 m0.19880.21570.23190.24330.25880.26870.2766
    R = 0.607 m0.1250.12860.13430.14320.14550.150.1547
    R = 0.807 m0.11480.11790.11970.12140.1250.12930.127
    DownLoad: CSV

    表 7  不同Ip下的NBI快离子损失粒子份额

    Table 7.  Trapped particle faction of NBI fast ions with different Ip.

    Plasma current Ip/kATrapped fraction/%Prompt loss/%Total loss/%
    50046.54.220
    60038.23.612.4
    70038.61.99.4
    800391.097.8
    100043.40.437.7
    DownLoad: CSV
    Baidu
  • [1]

    Chen J L, Jian X, Chan V S, Li Z Y, Deng Z, Li G Q, Guo W F, Shi N, Chen X, CFETR Physics Team 2017 Plasma Phys. Control. Fusion 59 075005Google Scholar

    [2]

    Gorelenkov N N, Pinches S D, Toi K 2014 Nucl. Fusion 54 125001Google Scholar

    [3]

    郝保龙, 陈伟, 蔡辉山, 李国强, 王丰, 吴斌, 王进芳, 陈佳乐, 王兆亮, 高翔, Chan Vincent, CFETR TEAM 2020 中国科学:物理学 力学 天文学 50 065201Google Scholar

    Hao B L, Chen W, Cai H S, Li G Q, Wang F, Wu B, Wang J F, Chen J L, Wang Z L, Gao X, Chan V, CFETR TEAM 2020 Sci. Sin. -Phys. Mech. Astron. 50 065201Google Scholar

    [4]

    Wu B, Hao B L, White R B, Wang J F, Zang Q, Han X F, Hu C D 2017 Plasma Phys. Control. Fusion 59 025004Google Scholar

    [5]

    Podesta M, Gorelenkova M, Gorelenkov N N, White R B 2017 Plasma Phys. Control. Fusion 59 095008Google Scholar

    [6]

    Taimourzadeh S, Bass E M, Chen Y, Collins C, Gorelenkov N N, Könies A, Lu Z X, Spong D A, Todo Y, Austin M E, Bao J, Biancalani A, Borchardt M, Bottino A, Heidbrink W W, Kleiber R, Lin Z, Mishchenko A, Shi L, Varela J, Waltz R E, Yu G, Zhang W L, Zhu Y 2019 Nucl. Fusion 59 066006Google Scholar

    [7]

    Duarte V N, Lestz J B, Gorelenkov N N, White R B 2023 Phys. Rev. Lett. 130 105101Google Scholar

    [8]

    Pankin A, McCune D, Andre R, Bateman G, Kritz A 2004 Comput. Phys. Commun. 159 157Google Scholar

    [9]

    White R B, Rutherford P H, Colestock P, Bussac M N 1988 Phys. Rev. Lett. 60 2038Google Scholar

    [10]

    White R B 2014 The Theory of Toroidally Confined Plasmas (3rd Ed.) (Singapore: World Scientific Publishing Company

    [11]

    White R B, Boozer A H, Hay R 1982 Phys. Fluids 25 575Google Scholar

    [12]

    Redi M H, White R B, Batha S H, Levinton F M, McCune D C 1997 Phys. Plasmas 4 4001Google Scholar

    [13]

    Redi M H, Zarnstorff M C, White R B, Budny R V, Janos A C, Owens D K, Schivell J F, Scott S D, Zweben S J 1995 Nucl. Fusion 35 1191Google Scholar

    [14]

    Redi M H, Budny R V, McCune D C, Miller C O, White R B 1996 Phys. Plasmas 3 3037Google Scholar

    [15]

    郝保龙, 陈伟, 李国强, 王晓静, 王兆亮, 吴斌, 臧庆, 揭银先, 林晓东, 高翔, CFETR Team 2021 70 115201Google Scholar

    Hao B L, Chen W, Li G Q, Wang X J, Wang Z L, Wu B, Zang Q, Jie Y X, Lin X D, Gao X, CFETR Team 2021 Acta Phys. Sin. 70 115201Google Scholar

    [16]

    Wesson J Tokamaks 2011 (New York: Oxford University Press

    [17]

    Hao B L, White R B, Gao X, Li G Q, Chen W, Wang X J, Wu B, Wu M Q, Zhu X, Lin X D, Jie Y X, Zang Q, Li J G, Wan Y X, CFETR Physics Team 2021 Nucl. Fusion 61 046035Google Scholar

    [18]

    Boozer A H, Kuo-Petravic G, 1981 Phys. Fluids 24 851Google Scholar

    [19]

    Kramer G J, McLean A, Brooks N, Budny R V, Chen X, Heidbrink W W, Kurki-Suonio T, Nazikian R, Koskela T, Schaffer M J, Shinohara K, Snipes J A, Van Zeeland M A 2013 Nucl. Fusion 53 123018Google Scholar

    [20]

    ITER Physics Expert Group on Energetic Particles, Heating and Current Drive and ITER Physics Basis Editors 1999 Nucl. Fusion 39 2495Google Scholar

    [21]

    Tobita K, Nakayama T, Konovalov S V, Sato M 2003 Plasma Phys. Control. Fusion 45 133Google Scholar

    [22]

    Pinches S D, Chapman I T, Lauber P W, Oliver H J C, Sharapov S E, Shinohara K, Tani K 2015 Phys. Plasmas 22 021807Google Scholar

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Metrics
  • Abstract views:  2199
  • PDF Downloads:  59
  • Cited By: 0
Publishing process
  • Received Date:  08 May 2023
  • Accepted Date:  03 August 2023
  • Available Online:  09 September 2023
  • Published Online:  05 November 2023

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