Skip to main content

REVIEW article

Front. Phys., 30 May 2024
Sec. Fusion Plasma Physics
Volume 12 - 2024 | https://doi.org/10.3389/fphy.2024.1399287

Filament simulations for stellarators; a review of recent progress

  • Max-Planck-Institut für Plasmaphysik, Greifswald, Germany

A review of recent advances in simulations of turbulent filaments with relevance to stellarators is presented. Progress in performing global edge turbulence simulations is discussed as well as results from seeded filament simulations with applications to the unique environment of a stellarator island divertor–including abrupt changes in connection length and highly-nonuniform curvature drive. It is determined that the motion of filaments generally follows the average curvature, but strong nonuniform perturbations can shear a filament and reduce the overall transport. The coherence of filament transport is also determined to be influenced by the collisionality and electron plasma beta. By simplifying the simulation geometries, large parameter scans can be performed which accurately reflect the macroscopic transport of filaments observed in Wendelstein 7-X. Comparisons to experiments are discussed, and a the develeopment of a synthetic diagnostic has been able to inform experimental measurements by quantifying potential sources of error in filament propagation measurements. A discussion of the necessary extension to more complex multifluid models, and the scope for near-term filament simulations in stellarators, is provided.

1 Introduction

Large, coherent, field-aligned structures–often called blobs or filaments–can be responsible for substantial transport in the scrape-off-layer (SOL) of magnetic fusion devices. A significant amount of theoretical, numerical, and experimental research has been devoted to the nature of blobs, providing an understanding of the basic propagation and generation mechanisms. A thorough review of blob dynamics is given in References [13]. The basic mechanism of filament propagation is as follows: a separation of charge is induced via diamagnetic drifts, resulting in a dipolar potential structure. The resultant motion is then governed by the mitigation of this charge separation; where there is a large connection length to the sheath, the potential is dissipated via perpendicular currents within the filament. If, however, the connection to the sheath is short enough (or the filament has a large enough perpendicular size), then the potential is resolved via currents through the sheath at the plasma facing components. The resistivity within the filament, and any sort of nonuniformity in the filament structure can thereby also result in altered propagation. The propagation of filaments is therefore governed by three components: the polarizing force (curvature, in a toroidal device), currents within the filament, and magnetic shear. The scrape-off layer of stellarators provides a novel environment for filament dynamics due to the unique SOL parameters; namely, nonuniform magnetic field strength in the toroidal direction and a strongly discontinuous connection length profile. The former provides a nontrivial polarizing force, and the latter complicates the mitigation of the current separation due to this polarizing force.

The SOL of stellarators similarly provides unique challenges in numerical simulation. Fluid simulations often utilize a field-aligned coordinate system, and often invoke a symmetry direction. The SOL of stellarators can however include magnetic islands and chaotic field lines, thereby inhibiting fluid turbulence simulations. As such, the investigation of filaments in stellarators has until recently been limited to experimental analysis [313]. The utilization of alternative numerical approaches, such as the Flux-Coordinate-Independent (FCI) approach [1422] or direct approach [23, 24] to parallel derivatives has facilitated the global simulation of turbulent structures in the stellarator SOL [21, 25, 26]. Simultaneously, simulations in simplified geometries have allowed for a more detailed analysis of the relevant mechanisms.

Here we provide a brief overview of recent work simulating plasma filaments in stellarators, using both global (Section 2) and local simulations and the subsequent comparison to experiment, Section 3. A brief discussion of some open questions and the prospects for future studies will be presented in Section 4.

2 Global simulations

The high collisionality of the edge and SOL of fusion devices facilitates a fluid approach to simulations. While recent work has simulated blobs using a gyrokinetic treatment [27], the majority of blob simulations are performed using a fluid approach due to the efficiency of the calculations. In general, these simulation codes utilize a field-aligned coordinate system, where one of the coordinates is aligned to the magnetic field. This approach becomes untenable for stellarators, due to the existence of magnetic islands and chaotic field lines in the stellarator edge. As such, other methods must be employed; either a non-aligned coordinate system [2325, 28], or a locally-aligned approach, such as the Flux-Coordinate-Independent method for parallel derivatives [14, 16, 18, 19, 21]. Global fluid turbulence simulations have been performed in analytic [25, 26] and experimentally-relevant geometries [28], although a consistent picture of the dynamics within these systems is as yet undetermined.

In Reference [25], global nonlinear simulations are performed in an analytic geometry. It is determined that the system is ballooning unstable, and would in principle be suitable to filament generation. There exists, however, no broadband turbulence or recognizable filaments. Rather, the system is dominated by a single coherent mode, whose fluctuation amplitude is highest on the inboard (“good” curvature) side of the configuration. This geometry is again studied in [26] with a more simplified model and a broader-range of turbulent fluctuations are found, although again no distinct filaments are observed. Rather, broadband turbulence is observed with increased fluctuation amplitudes on the outboard side of the torus, see Figure 1.

Figure 1
www.frontiersin.org

Figure 1. Standard deviation of density fluctuations at the last closed flux surface in an analytical stellarator with an island divertor. Fluctuation amplitudes increase on the outboard side of the torus. Reproduced under the Creative Commons CC BY 4.0 license from [26].

More insight is found in Reference [28], which compares global simulations in the TJ-K [29] stellarator to experimental measurements. The simulations recover low poloidal mode number oscillations, as seen in experiment. The E × B turbulent flux is found to be similar to experiment at some toroidal angles, but different in others. An area is found in simulations where coherent structures enter the SOL from the confined region, which could indicate a region of filament generation similar to what was found in previous experimental measurements [10].

The global simulations cited above do not focus on any particular aspects relevant for filament propagation. However, global simulations of seeded plasma filaments in an analytic stellarator geometry have also been performed in Reference [21], marking the first nonlinear simulations of filaments in a global stellarator geometry. In this work, it was determined that filaments propagate nonuniformly due to the long parallel connection lengths which allow the development of parallel gradients which cannot sufficiently resolve the charge separation due to the nonuniform curvature drive. It was determined that hotter filaments propagate more uniformly, but determined that this could not be an Alfvénic effect. This work inspired later work which examined the role of nonuniform curvature drive in simplified geometries, which will be discussed in the following section.

3 Local simulations

Due to the complexity in interpreting data from global simulations, it is often advantageous to isolate physics for a more complete understanding. Here, we will focus on the work which has been done to understand the effects unique to stellarators; namely, nonuniform curvature drive and a highly-discontinuous connection length profile.

3.1 Nonuniform curvature

A nonuniform curvature drive is inherent in any toroidal magnetic geometry with a rotational transform, as field lines will traverse poloidally, experiencing varying magnetic field strengths and curvature drive. In stellarators, however, this effect is exacerbated due to the nonaxisymmetric nature of the equilibrium. Simulations in slab geometry [30, 31] have determined, among other effects, that the propagation of filaments generally follows the average curvature drive. The work in Reference [31] also confirmed the assertion from global simulations that filaments with a higher electron temperature propagate more uniformly. If, however, this nonuniformity is too drastic, the filaments can be sheered apart. Reference [32] explores the parameters relevant for the coherence of filaments in scenarios with nonuniform drive, and determines that the filament coherence is governed by the collisionality and the electron plasma beta, see Eq 1.

Δ/δβeLκ2+νLκτbnδ2jβ+νj.(1)

where Δ is the filament displacement, δ is the perpendicular size of the filament, Lk is the curvature length scale, τb = δ/vb is the advection timescale, and j is the parallel current. Simulations were then performed in scenarios with sinusoidal curvature, while varying the electron plasma beta and the collisionality, and the coherence of filaments was plotted in Figure 2.

Figure 2
www.frontiersin.org

Figure 2. Normalized filament displacement as a function of electron plasma beta (βe) and collisionality (ν′) for a filament polarized by a sinusoidal curvature drive. Reproduced under the Creative Commons CC BY 4.0 license from [32].

The simulations shown in Figure 2, reproduced here from Reference [32], confirmed the assertion in Eq 1, namely, that the displacement of filaments scales linearly with electron plasma beta and collisionality.

3.2 Discontinuous connection length profile

Another unique aspect of stellarators, particularly those with an island divertor [3335] such as Wendelstein 7-X [36], is the discontinuous connection length profile where the connection length to the sheath can abruptly change in a short perpendicular distance. This is due to the divertor targets intersecting the magnetic islands at discrete toroidal locations, resulting in discrete field line lengths to the sheath. Since connection length determines the current distribution within a filament, these abrupt changes can alter filament dynamics. The dynamics in such situations was explored in Reference [37], where it was determined that filaments can be accelerated or decelerated when entering areas of higher or lower connection length, respectively. Furthermore, it was determined that the filaments in W7-X will have a predominantly poloidal trajectory due to the large radial electric field and relatively small curvature drive; an assertion which was later confirmed by experimental measurements [38].

3.3 Experimental comparison

Having established from the global and local simulations mentioned above that filaments propagate according to the average curvature, drift-plane simulations were performed with parameters gleaned from measurements in Wendelstein 7-X. These drift-plane simulations where then compared to experimental probe measurements [38]. Despite the drift-plane approximation which removes any sort of geometry in the curvature drive apart from the average major radius, the experimental filament scaling of radial propagation velocity vs. filament size was captured by seeded filament simulations, see Figure 3. Furthermore, the filaments were determined to have a small radial velocity, as predicted previously in Reference [37], and therefore were not a cause of turbulent spreading.

Figure 3
www.frontiersin.org

Figure 3. Comparison of experimental probe measurements and drift-plane simulations for the filament scaling within Wendelstein 7-X, for two distinct connection length regimes. The shaded region around the simulation results indicates different ellipticities (which is unknown from experimental measurements). Reproduced under the Creative Commons CC BY 4.0 license from [38].

This experimental comparison in turn inspired the work in Reference [39], where the sources of error in the filament characteristics via probe measurement in the Wendelstein 7-X SOL were quantified. The primary source of error was the one dimensional, conditionally-averaged measurement which systematically underestimated the filament size. It is determined analytically that the measured filament diameter will be 79% of the true diameter. Furthermore, filament velocities can be inaccurately measured due to misalignment of the probe head relative to the poloidal trajectories of the filaments, and an optimal probe spacing relative to the filament size was determined. To visualize the total contribution of all error sources, a synthetic filament scaling was performed to mimic the measurements shown in Figure 3 [38]. Filaments were randomly seeded with a diameter and pressure within experimental parameters, and their resultant trajectories were measured using the synthetic diagnostic. The synthetic scaling is reproduced in Figure 4 [39], where the solid green circles indicate the filament properties measured by the synthetic diagnostic, and the hollow green circles indicate the actual properties determined from simulation. The green bar which connects these dots, then, indicates the total error associated with probe measurements. This work then provides context for Figure 3, as filament velocities and diameters are systematically underestimated by probe measurements.

Figure 4
www.frontiersin.org

Figure 4. A comparison of filament scaling for randomly-generated filaments as measured by the synthetic diagnostic (filled green circles), as extracted directly from simulation (hollow green circles), and the simulated results (with constant pressure perturbation) from [?] in orange and blue. Reproduced under the Creative Commons CC BY 4.0 license from [39].

4 Open questions

While the dynamics of filaments in stellarators are largely similar to those in other geometries, there remain several unique aspects where novel research has begun to provide insight. Nevertheless, several questions remain. In Reference [38], it was determined that due to the low radial velocity of filaments, they remain close to a flux surface and cannot contribute to turbulence spreading. If this is the case, the question remains as to where and how the filaments are generated. Typically, blobs originate in areas of higher pressure near the separatrix and carry heat and particles into the separatrix. Without any sort of ballistic motion in Wendelstein 7-X, it remains to be seen how and where these filaments are generated. While there has been some research into blob generation mechanisms [4042], very little research has been devoted to blob generation mechanisms in stellarators.

Furthermore, the magnetic islands create a region of complicated topology which will influence filament dynamics. In tokamaks, filaments can be distorted near the X-point [43, 44], which disconnects them from the midplane and causes a quiescent zone at the strike point. Indeed, the work in Reference [38] indicates that the filaments extend to the target, but this is only true for the target closest to the probe measurements; no data is available at the other end of the field line. The complicated edge topology in Wendelstein 7-X, which includes a magnetic island chain and a nonaxisymmetric equilibrium with substantial toroidal flux expansion is certain to significantly distort filaments.

Global simulations of fluid turbulence experimentally-relevant geometries with an island divertor should enable a thorough examination of these phenomena. The recent development of SOL turbulence codes for complicated magnetic geometries [21, 25, 26, 28], including nonaxisymmetric island chains, has in principle enabled such studies, although global simulations in Wendelstein 7-X geometries remain as yet unrealized due to the considerable numerical expense of such simulations. As such, simulations of smaller-scale experiments, like that which is done in [26, 28] or in [45], could also ascertain such dynamics.

Local simulations can also provide novel insight. Filaments will spin about their parallel axis When a filament’s temperature differs from the background plasma [46], or when there is a parallel nonunformity of blob characteristics [4750]. This mechanism has been proposed to reduce filament velocity [51], and could also be seen in stellarators. However, there exists no explicit research into filament spin dynamics in stellarators. The strong nonuniformity of plasma parameters along a stellarator SOL field line should induce novel spin dynamics.

Finally, the influence of target interactions, such as the role of neutrals and impurities, on filament dynamics has been investigated in tokamak contexts [5255]. While many of these effects are also applicable to stellarators, impurity transport is fundamentally different in stellarators due to the lack of any temperature screening [56] (although recent work has suggested this impurity accumulation might not be so drastic as previously thought [57]). Therefore, the development of global fluid turbulence codes for stellarator geometries should look to include impurity and neutral species, a mechanism which is already available for axisymmetric geometries [58, 59].

Author contributions

BS: Writing–original draft, Writing–review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work has been carried out within the framework of the EUROfusion Consortium, funded by the174 European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 -175 EUROfusion). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commis.

Acknowledgments

The author recognizes the brilliant work of the colleagues cited within.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Krasheninnikov S, Ryutov D, Yu G. Large plasma pressure perturbations and radial convective transport in a tokamak. J Plasma Fusion Res (2004) 6.

Google Scholar

2. Krasheninnikov SI, D’Ippolito DA, Myra JR. Recent theoretical progress in understanding coherent structures in edge and sol turbulence. J Plasma Phys (2008) 74:679–717. doi:10.1017/S0022377807006940

CrossRef Full Text | Google Scholar

3. D’Ippolito DA, Myra JR, Zweben SJ. Convective transport by intermittent blob-filaments: comparison of theory and experiment. Phys Plasmas (2011) 18:060501. doi:10.1063/1.3594609

CrossRef Full Text | Google Scholar

4. Grulke O, Klinger T, Endler M, Piel A. Analysis of large-scale fluctuation structures in the scrape-off layer of the wendelstein 7-as stellarator. Phys Plasmas (2001) 8:5171–80. doi:10.1063/1.1418021

CrossRef Full Text | Google Scholar

5. Dewhurst JM, Hnat B, Ohno N, Dendy RO, Masuzaki S, Morisaki T, et al. Statistical properties of edge plasma turbulence in the large helical device. Plasma Phys Controlled Fusion (2008) 50:095013. doi:10.1088/0741-3335/50/9/095013

CrossRef Full Text | Google Scholar

6. Alonso J, Zweben S, Carvalho P, de Pablos J, de la Cal E, Hidalgo C, et al. Impact of different confinement regimes on the two-dimensional structure of edge turbulence. Plasma Phys controlled fusion (2006) 48:B465–73. doi:10.1088/0741-3335/48/12b/s44

CrossRef Full Text | Google Scholar

7. Happel T, Greiner F, Mahdizadeh N, Nold B, Ramisch M, Stroth U. Generation of intermittent turbulent events at the transition from closed to open field lines in a toroidal plasma. Phys Rev Lett (2009) 102:255001. doi:10.1103/physrevlett.102.255001

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ramisch M, Birkenmeier G, Happel T, Köhn A, Mahdizadeh N, Manz P, et al. Investigation of turbulent transport and shear flows in the edge of toroidal plasmas. Contrib Plasma Phys (2010) 50:718–23. doi:10.1002/ctpp.200900033

CrossRef Full Text | Google Scholar

9. Fuchert G, Birkenmeier G, Carralero D, Lunt T, Manz P, Müller HW, et al. Blob properties in l- and h-mode from gas-puff imaging in ASDEX upgrade. Plasma Phys Controlled Fusion (2014) 56:125001. doi:10.1088/0741-3335/56/12/125001

CrossRef Full Text | Google Scholar

10. Fuchert G, Birkenmeier G, Ramisch M, Stroth U. Characterization of the blob generation region and blobby transport in a stellarator. Plasma Phys Controlled Fusion (2016) 58:054005. doi:10.1088/0741-3335/58/5/054005

CrossRef Full Text | Google Scholar

11. Killer C, Grulke O, Drews P, Gao Y, Jakubowski M, Knieps A, et al. Characterization of the w7-x scrape-off layer using reciprocating probes. Nucl Fusion (2019) 59:086013. doi:10.1088/1741-4326/ab2272

CrossRef Full Text | Google Scholar

12. Zoletnik S, Anda G, Biedermann C, Carralero AD, Cseh G, Dunai D, et al. Multi-diagnostic analysis of plasma filaments in the island divertor. Plasma Phys Controlled Fusion (2019) 62:014017. doi:10.1088/1361-6587/ab5241

CrossRef Full Text | Google Scholar

13. Buzás A, Kocsis G, Biedermann C, Cseh G, Szepesi T, Szücs M, et al. A study of turbulent filaments in the edge plasma of the wendelstein 7-x stellarator. Nucl Fusion (2024) 64:066012. doi:10.1088/1741-4326/ad365e

CrossRef Full Text | Google Scholar

14. Hariri F, Ottaviani M. A flux-coordinate independent field-aligned approach to plasma turbulence simulations. Comput Phys Commun (2013) 184:2419–29. doi:10.1016/j.cpc.2013.06.005

CrossRef Full Text | Google Scholar

15. Hariri F, Hill P, Ottaviani M, Sarazin Y. The flux-coordinate independent approach applied to x-point geometries. Phys Plasmas (2014) 21:082509. doi:10.1063/1.4892405

CrossRef Full Text | Google Scholar

16. Hill P, Hariri F, Ottaviani M. The effect of magnetic islands on ion temperature gradient turbulence driven transport. Phys Plasmas (2015) 22:042308. doi:10.1063/1.4919031

CrossRef Full Text | Google Scholar

17. Held M, Wiesenberger M, Stegmeir A. Three discontinuous galerkin schemes for the anisotropic heat conduction equation on non-aligned grids. Comput Phys Commun (2016) 199:29–39. doi:10.1016/j.cpc.2015.10.009

CrossRef Full Text | Google Scholar

18. Stegmeir A, Coster D, Maj O, Hallatschek K, Lackner K. The field line map approach for simulations of magnetically confined plasmas. Comput Phys Commun (2016) 198:139–53. doi:10.1016/j.cpc.2015.09.016

CrossRef Full Text | Google Scholar

19. Hill P, Shanahan B, Dudson B. Dirichlet boundary conditions for arbitrary-shaped boundaries in stellarator-like magnetic fields for the flux-coordinate independent method. Comput Phys Commun (2017) 213:9–18. doi:10.1016/j.cpc.2016.11.004

CrossRef Full Text | Google Scholar

20. Shanahan B, Hill P, Dudson B. Towards nonaxisymmetry; initial results using the flux coordinate independent method in bout++. J Phys Conf Ser (2016) 775:012012. doi:10.1088/1742-6596/775/1/012012

CrossRef Full Text | Google Scholar

21. Shanahan B, Dudson B, Hill P. Fluid simulations of plasma filaments in stellarator geometries with BSTING. Plasma Phys Controlled Fusion (2019) 61:025007. doi:10.1088/1361-6587/aaed7d

CrossRef Full Text | Google Scholar

22. Wiesenberger M, Einkemmer L, Held M, Gutierrez-Milla A, Sáez X, Iakymchuk R. Reproducibility, accuracy and performance of the feltor code and library on parallel computer architectures. Comput Phys Commun (2019) 238:145–56. doi:10.1016/j.cpc.2018.12.006

CrossRef Full Text | Google Scholar

23. Paruta P, Ricci P, Riva F, Wersal C, Beadle C, Frei B. Simulation of plasma turbulence in the periphery of diverted tokamak by using the GBS code. Phys Plasmas (2018) 25:112301. doi:10.1063/1.5047741

CrossRef Full Text | Google Scholar

24. Giacomin M, Ricci P. Investigation of turbulent transport regimes in the tokamak edge by using two-fluid simulations. J Plasma Phys (2020) 86:905860502. doi:10.1017/s0022377820000914

CrossRef Full Text | Google Scholar

25. Coelho A, Loizu J, Ricci P, Giacomin M. Global fluid simulation of plasma turbulence in a stellarator with an island divertor. Nucl Fusion (2022) 62:074004. doi:10.1088/1741-4326/ac6ad2

CrossRef Full Text | Google Scholar

26. Shanahan B, Bold D, Dudson B. Global fluid turbulence simulations in the scrape-off layer of a stellarator island divertor. J Plasma Phys (2024) 90:905900216. doi:10.1017/s002237782400045x

CrossRef Full Text | Google Scholar

27. Myra JR, Ku S, Russell DA, Cheng J, Keramidas Charidakos I, Parker SE, et al. Reduction of blob-filament radial propagation by parallel variation of flows: analysis of a gyrokinetic simulation. Phys Plasmas (2020) 27:082309. doi:10.1063/5.0012157

CrossRef Full Text | Google Scholar

28. Coelho AJ, Loizu J, Ricci P, Ramisch M, Köhn-Seemann A, Birkenmeier G, et al. Validation of gbs plasma turbulence simulation of the tj-k stellarator. Plasma Phys Controlled Fusion (2023) 65:085018. doi:10.1088/1361-6587/ace4f3

CrossRef Full Text | Google Scholar

29. Krause N, Lechte C, Stöber J, Stroth U, Ascasibar E, Alonso J, et al. The torsatron tj-k, an experiment for the investigation of turbulence in a toroidal low-temperature plasma. Rev scientific Instr (2002) 73:3474–81. doi:10.1063/1.1502012

CrossRef Full Text | Google Scholar

30. Stepanenko AA, Lee W, Krasheninnikov SI. Macroscopic motion of sheath-connected blobs in magnetic fields with arbitrary topology. Phys Plasmas (2017) 24:012301. doi:10.1063/1.4972800

CrossRef Full Text | Google Scholar

31. Shanahan B, Dudson B, Hill P. The effects of non-uniform drive on plasma filaments. J Phys Conf Ser (2018) 1125:012018. doi:10.1088/1742-6596/1125/1/012018

CrossRef Full Text | Google Scholar

32. Huslage P, Birkenmeier G, Shanahan B, Killer C. Coherence of turbulent structures with varying drive in stellarator edge plasmas. Plasma Phys Controlled Fusion (2023) 66:015006. doi:10.1088/1361-6587/ad0ee5

CrossRef Full Text | Google Scholar

33. Karger F, Lackner K. Resonant helical divertor. Phys Lett A (1977) 61:385–7. doi:10.1016/0375-9601(77)90341-3

CrossRef Full Text | Google Scholar

34. Feng Y, Sardei F, Grigull P, McCormick K, Kisslinger J, Reiter D. Physics of island divertors as highlighted by the example of w7-as. Nucl Fusion (2006) 46:807–19. doi:10.1088/0029-5515/46/8/006

CrossRef Full Text | Google Scholar

35. Feng YW7-X-team. Review of magnetic islands from the divertor perspective and a simplified heat transport model for the island divertor. Plasma Phys Controlled Fusion (2022) 64:125012. doi:10.1088/1361-6587/ac9ed9

CrossRef Full Text | Google Scholar

36. Pedersen TS, König R, Jakubowski M, Krychowiak M, Gradic D, Killer C, et al. First divertor physics studies in wendelstein 7-x. Nucl Fusion (2019) 59:096014. doi:10.1088/1741-4326/ab280f

CrossRef Full Text | Google Scholar

37. Shanahan B, Huslage P. Filament simulations in regions of highly-varying parallel connection length. J Plasma Phys (2020) 86:905860314. doi:10.1017/s0022377820000562

CrossRef Full Text | Google Scholar

38. Killer C, Shanahan B, Grulke O, Endler M, Hammond K, and LR. Plasma filaments in the scrape-off layer of wendelstein 7-x. Plasma Phys Controlled Fusion (2020) 62:085003. doi:10.1088/1361-6587/ab9313

CrossRef Full Text | Google Scholar

39. Shanahan B, Killer C, Pechstein G, Henneberg SA, Fuchert G, Grulke O. Estimating the error in filament propagation measurement using a synthetic probe. Plasma Phys Controlled Fusion (2021) 63:125018. doi:10.1088/1361-6587/ac2ff7

CrossRef Full Text | Google Scholar

40. Manz P, Xu M, Müller S, Fedorczak N, Thakur S, Yu J, et al. Plasma blob generation due to cooperative elliptic instability. Phys Rev Lett (2011) 107:195004. doi:10.1103/physrevlett.107.195004

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Ross A, Stegmeir A, Manz P, Groselj D, Zholobenko W, Coster D, et al. On the nature of blob propagation and generation in the large plasma device: global GRILLIX studies. Phys Plasmas (2019) 26:102308. doi:10.1063/1.5095712

CrossRef Full Text | Google Scholar

42. Bisai N, Sen A. Theory of plasma blob formation and its numerical and experimental validations. Rev Mod Plasma Phys (2023) 7:22. doi:10.1007/s41614-023-00124-5

CrossRef Full Text | Google Scholar

43. Nespoli F, Tamain P, Fedorczak N, Galassi D, Marandet Y. A new mechanism for filament disconnection at the X-point: poloidal shear in radial E × B velocity. Nucl Fusion (2020) 60:046002. doi:10.1088/1741-4326/ab6f1e

CrossRef Full Text | Google Scholar

44. Wüthrich C, Theiler C, Offeddu N, Galassi D, Oliveira D, Duval BP, et al. X-point and divertor filament dynamics from gas puff imaging on tcv. Nucl Fusion (2022) 62:106022. doi:10.1088/1741-4326/ac8692

CrossRef Full Text | Google Scholar

45. Shanahan BW, Dudson BD. Blob dynamics in torpex poloidal null configurations. Plasma Phys Controlled Fusion (2016) 58:125003. doi:10.1088/0741-3335/58/12/125003

CrossRef Full Text | Google Scholar

46. Myra JR, D’Ippolito DA, Krasheninnikov SI, Yu GQ. Convective transport in the scrape-off-layer by nonthermalized spinning blobs. Phys Plasmas (2004) 11:4267–74. doi:10.1063/1.1774168

CrossRef Full Text | Google Scholar

47. Angus JR, Umansky MV, Krasheninnikov SI. Effect of drift waves on plasma blob dynamics. Phys Rev Lett (2012) 108:215002. doi:10.1103/physrevlett.108.215002

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Walkden NR, Dudson BD, Fishpool G. Characterization of 3d filament dynamics in a mast sol flux tube geometry. Plasma Phys Controlled Fusion (2013) 55:105005. doi:10.1088/0741-3335/55/10/105005

CrossRef Full Text | Google Scholar

49. Myra JR, Cheng J, Parker SE. Dynamics of rapidly spinning blob-filaments: fluid theory with a parallel kinetic extension. Phys Plasmas (2023) 30:072302. doi:10.1063/5.0152389

CrossRef Full Text | Google Scholar

50. Molesworth SC, Boedo JA, Tsui CK, Perillo R, Rudakov DL. Filamentary velocity scaling validation and spin dynamics in the DIII-D tokamak. Phys Plasmas (2024) 31:042515. doi:10.1063/5.0195025

CrossRef Full Text | Google Scholar

51. Yu G, Krasheninnikov S. Dynamics of blobs in scrape-off-layer/shadow regions of tokamaks and linear devices. Phys Plasmas (2003) 10:4413–8. doi:10.1063/1.1616937

CrossRef Full Text | Google Scholar

52. Hasegawa H, Ishiguro S. Impurity transport caused by blob and hole propagations. Nucl Fusion (2017) 57:116008. doi:10.1088/1741-4326/aa7700

CrossRef Full Text | Google Scholar

53. Schwörer D, Walkden N, Leggate H, Dudson B, Militello F, Downes T, et al. Influence of plasma background including neutrals on scrape-off layer filaments using 3d simulations. Nucl Mater Energ (2017) 12:825–30. Proceedings of the 22nd International Conference on Plasma Surface Interactions 2016, 22nd PSI. doi:10.1016/j.nme.2017.02.016

CrossRef Full Text | Google Scholar

54. Schwörer D, Walkden NR, Leggate H, Dudson BD, Militello F, Downes T, et al. Influence of plasma background on 3d scrape-off layer filaments. Plasma Phys Controlled Fusion (2018) 61:025008. doi:10.1088/1361-6587/aae8fe

CrossRef Full Text | Google Scholar

55. Hasegawa H, Ishiguro S. Impurity ion transport by filamentary plasma structures. Nucl Mater Energ (2019) 19:473–8. doi:10.1016/j.nme.2019.04.005

CrossRef Full Text | Google Scholar

56. Buller S, Smith HM, Mollén A. Recent progress on neoclassical impurity transport in stellarators with implications for a stellarator reactor. Plasma Phys Controlled Fusion (2021) 63:054003. doi:10.1088/1361-6587/abf313

CrossRef Full Text | Google Scholar

57. Helander P, Newton SL, Mollén A, Smith HM. Impurity transport in a mixed-collisionality stellarator plasma. Phys Rev Lett (2017) 118:155002. doi:10.1103/PhysRevLett.118.155002

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Giacomin M, Ricci P, Coroado A, Fourestey G, Galassi D, Lanti E, et al. The gbs code for the self-consistent simulation of plasma turbulence and kinetic neutral dynamics in the tokamak boundary. J Comput Phys (2022) 463:111294. doi:10.1016/j.jcp.2022.111294

CrossRef Full Text | Google Scholar

59. Dudson B, Kryjak M, Muhammed H, Hill P, Omotani J. Hermes-3: multi-component plasma simulations with BOUT++. Submitted to Comp. Phys. Comm. (2023). doi:10.48550/arXiv.2303.12131

CrossRef Full Text | Google Scholar

Keywords: blobs, filaments, stellarator, BOUT++, BSTING

Citation: Shanahan B (2024) Filament simulations for stellarators; a review of recent progress. Front. Phys. 12:1399287. doi: 10.3389/fphy.2024.1399287

Received: 11 March 2024; Accepted: 14 May 2024;
Published: 30 May 2024.

Edited by:

Peter Manz, University of Greifswald, Germany

Reviewed by:

Maurizio Giacomin, University of Padua, Italy
Nirmal Kumar Bisai, Institute for Plasma Research (IPR), India

Copyright © 2024 Shanahan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Brendan Shanahan, brendan.shanahan@ipp.mpg.de

Download