PHYSICS OF GASES, PLASMAS, AND ELECTRIC DISCHARGES |
Prev
Next
|
|
|
Numerical study of alpha particle loss with toroidal field ripple based on CFETR steady-state scenario |
Niuqi Li(李钮琦)1,2, Yingfeng Xu(徐颖峰)1,2,†, Fangchuan Zhong(钟方川)1,2, and Debing Zhang(张德兵)3 |
1 College of Science, Donghua University, Shanghai 201620, China; 2 Member of Magnetic Confinement Fusion Research Center, Ministry of Education, Shanghai 201620, China; 3 Department of Physics, East China University of Science and Technology, Shanghai 200237, China |
|
|
Abstract Effects of plasma equilibrium parameters on the alpha particle loss with the toroidal field ripple based on the CFETR steady-state scenario have been numerically investigated by the orbit-following code GYCAVA. It is found that alpha particle losses decrease and loss regions become narrower with the plasma current increasing or with the magnetic field decreasing. It is because the ripple stochastic transport and the ripple well loss of alpha particle are reduced with the safety factor decreasing. Decrease of the plasma density and temperature can reduce alpha particle losses due to enhancement of the slowing-down effect. The direction of the toroidal magnetic field can significantly affect heat loads induced by lost alpha particle. The vertical asymmetry of heat loads induced by the clockwise and counter-clockwise toroidal magnetic fields are due to the fact that the ripple distribution is asymmetric about the mid-plane, which can be explained by the typical orbits of alpha particle. The maximal heat load of alpha particle for the clockwise toroidal magnetic field is much smaller than that for the counter-clockwise one.
|
Received: 06 August 2023
Revised: 30 September 2023
Accepted manuscript online: 17 October 2023
|
PACS:
|
52.65.-y
|
(Plasma simulation)
|
|
52.55.Fa
|
(Tokamaks, spherical tokamaks)
|
|
96.50.Vg
|
(Energetic particles)
|
|
Fund: The authors are very grateful for the help of the CFETR team. Project supported by the National Natural Science Foundation of China (Grant Nos. 12175034 and 12005063), the National Key Research and Development Program of China (Grant No. 2019YFE03030001), and the Fundamental Research Funds for the Central Universities (Grant No. 2232022G-10). |
Corresponding Authors:
Yingfeng Xu
E-mail: xuyingfeng@dhu.edu.cn
|
Cite this article:
Niuqi Li(李钮琦), Yingfeng Xu(徐颖峰), Fangchuan Zhong(钟方川), and Debing Zhang(张德兵) Numerical study of alpha particle loss with toroidal field ripple based on CFETR steady-state scenario 2024 Chin. Phys. B 33 015202
|
[1] Tobita K, Nakayama T, Konovalov S V, et al. 2003 Plasma Phys. Control. Fusion 45 133 [2] Shinohara K, Kurki-Suonio T, Spong D, et al. 2011 Nucl. Fusion 51 063028 [3] Shinohara K, Tani K, Oikawa T, et al. 2012 Nucl. Fusion 52 094008 [4] White R B and Mynick H E 1989 Phys. Fluids B 1 980 [5] Darrow D S, Zweben S J, Batha S, et al. 1996 Phys. Plasmas 3 1875 [6] Budny R V, Bell M G, Janos A C, et al. 1995 Nucl. Fusion 35 1497 [7] Redi M H, Zarnstorff M C, White R B, et al. 1995 Nucl. Fusion 35 1191 [8] Duong H H, Fisher R K, Medley S S, et al. 1997 Nucl. Fusion 37 271 [9] Zweben S J, Budny R V, Darrow D S, et al. 2000 Nucl. Fusion 40 91 [10] Hao B L, Wu B, Wang J F, et al. 2015 J. Fusion Energ. 34 659 [11] Hao B L, Chen W, Cai H S, et al. 2020 Sci. Sin-Phys. Mech. Astron. 50 065201 [12] Zhao R, Wang Z X, Wang F, et al. 2020 Plasma Phys. Control. Fusion 62 115001 [13] Xu Y F, Zhang D B, Chen J L, et al. 2022 Plasma Sci. Technol. 24 105101 [14] Pfefferlé D, Cooper W A, Fasoli A, et al. 2016 Nucl. Fusion 56 112002 [15] Wan B N, Ding S Y, Qian J P, et al. 2014 IEEE Trans. Plasma Sci. 42 495 [16] Song Y T, Wu S T, Li J G, et al. 2014 IEEE Trans. Plasma Sci. 42 503 [17] Chan V S, Costley A E, Wan B N, et al. 2015 Nucl. Fusion 55 023017 [18] Wan Y X, Li J G, Liu Y, et al. 2017 Nucl. Fusion 57 102009 [19] Zhuang G, Li G Q, Li J, et al. 2019 Nucl. Fusion 59 112010 [20] Gao X, Wan B N, Song Y T, et al. 2019 Sci. Sin-Phys. Mech. Astron. 49 045202 [21] Wang F, Zhao R, Wang Z X, et al. 2021 Chin. Phys. Lett. 38 055201 [22] Xu Y F, Guo W F, Ye L, et al. 2018 Phys. Plasmas 25 012502 [23] Xu Y F, Guo W F, Hu Y J, et al. 2019 Comput. Phys. Commun. 244 40 [24] Brizard A J and Hahm T S 2007 Rev. Mod. Phys. 79 421 [25] Hu Y J, Xu Y F, Hao B L, et al. 2021 Phys. Plasmas 28 122502 [26] Xu Y F, Li L, Hu Y J, et al. 2020 Nucl. Fusion 60 086013 [27] Xu Y F, Hu Y J, Zhang X D, et al. 2021 Plasma Sci. Technol. 23 095102 [28] Zhou C X, Chen J L, Chan V, et al. 2022 Phys. Plasmas 29 022505 [29] Chen J L, Chan V S, Jian X, et al. 2021 Nucl. Fusion 61 046002 [30] Huba J D 2011 NRL Plasma Formulary (Washington DC:Naval Research Laboratory) [31] Ye L, Guo W F, Xiao X T, et al. 2014 Phys. Plasmas 21 122508 [32] Goldston R J, White R B and Boozer A H 1981 Phys. Rev. Lett. 47 647 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|