Fuelling efficiency of massive gas injection in TEXTOR: mass scaling and importance of gas flow dynamics

Bozhenkov, S.; Lehnen, M.; Finken, K. H.; Bertschinger, G.; Koslowski, H. R.; Reiter, D.; Wolf, R. C.; Team, Textor

doi:10.1088/0029-5515/51/8/083033

Cited by 26 publications

(40 citation statements)

References 40 publications

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“…This definition assumes that minimal plasma magnetic energy is dissipated by the rapid radiation process before the CQ. Figure 14 shows that € f th is relatively insensitive to the thermal energy density of the plasma, consistent with data presented in [44,52,63]. …”

Section: Radiated Energy Fractionsupporting

confidence: 86%

The ITPA disruption database

et al. 2015

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Abstract.A multi-device database of disruption characteristics has been developed under the auspices of the International Tokamak Physics Activity magneto-hydrodynamics topical group. The purpose of this ITPA Disruption Database (IDDB) is to find the commonalities between the disruption and disruption mitigation characteristics in a wide variety of tokamaks in order to elucidate the physics underlying tokamak disruptions and to extrapolate toward much larger devices, such as ITER and future burning plasma devices. In contrast to previous smaller disruption data collation efforts, the IDDB aims 2 to provide significant context for each shot provided, allowing exploration of a wide array of relationships between pre-disruption and disruption parameters. The IDDB presently includes contributions from nine tokamaks, including both conventional aspect ratio and spherical tokamaks. An initial parametric analysis of the available data is presented. This analysis includes current quench rates, halo current fraction and peaking, and the effectiveness of massive impurity injection. The IDDB is publicly available, with instruction for access provided herein.3

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Section: Radiated Energy Fractionsupporting

confidence: 86%

The ITPA disruption database

et al. 2015

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“…The normalization by Ð f dV in expression (13) ensures that the total mass of neutrals injected per time unit is equal to dM n dt . The parameterization of dM n dt is based on laboratory experiments and modeling of the DMV reported in Ref.…”

Section: B Massive Gas Injectionmentioning

confidence: 99%

“…The parameterization of dM n dt is based on laboratory experiments and modeling of the DMV reported in Ref. 13. After the valve opening, the gas travels inside a guiding tube of length L tube ¼ 2.36 m and cross-sectional area A tube ¼ 1:8 Â10 À2 m 2 , which is much larger than the valve orifice area.…”

Section: B Massive Gas Injectionmentioning

confidence: 99%

“…MGI aims at spreading heat loads by radiating most of the plasma stored energy, preventing the generation of REs by increasing the electron density and controlling the CQ duration (in order to limit mechanical loads) by controlling the impurity content and thus the temperature and resistivity of the CQ plasma. A large body of experimental work on MGI exists, including experiments on JET, [6][7][8][9] ASDEX Upgrade, 10 Tore Supra, 11 DIII-D, 12 TEXTOR, 13 Alcator C-MOD, 14 and other devices. Results have shown the capability of MGI to fulfill part of the objectives of the ITER DMS, but not yet all of them.…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional non-linear magnetohydrodynamic modeling of massive gas injection triggered disruptions in JET

et al. 2015

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Document VersionPublisher's PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication Citation for published version (APA):Fil, A., Nardon, E., Hoelzl, M., Huijsmans, G. T. A., Orain, F., Becoulet, M., ... . Threedimensional non-linear magnetohydrodynamic modeling of massive gas injection triggered disruptions in JET. Physics of Plasmas, 22, 062509-1/18. DOI: 10.1063/1.4922846 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Three-dimensional non-linear magnetohydrodynamic modeling of massive gas injection triggered disruptions in JET JOREK 3D non-linear MHD simulations of a D 2 Massive Gas Injection (MGI) triggered disruption in JET are presented and compared in detail to experimental data. The MGI creates an overdensity that rapidly expands in the direction parallel to the magnetic field. It also causes the growth of magnetic islands (m=n ¼ 2=1 and 3/2 mainly) and seeds the 1/1 internal kink mode. O-points of all island chains (including 1/1) are located in front of the MGI, consistently with experimental observations. A burst of MHD activity and a peak in plasma current take place at the same time as in the experiment. However, the magnitude of these two effects is much smaller than in the experiment. The simulated radiation is also much below the experimental level. As a consequence, the thermal quench is not fully reproduced. Directions for progress are identified. Radiation from impurities is a good candidate. V C 2015 AIP Publishing LLC.[http://dx

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“…For this purpose, the coupling of the impurity model developed here to the reduced MHD code [65] will be reported. In such simulations, the interplay with impurity injection process [66][67][68] and the magnetohydrodynamic (MHD) modes [69,70] would be important. Additionally, although this work simply assumes that the RE distribution function is identical to monoenergetic one at the energy limit, full kinetic simulations are available in the present framework that couples the initial-value Fokker-Planck code and TQ/CQ simulations.…”

mentioning

confidence: 99%

Analysis of Avalanche Runaway Generation after Disruptions with Low-<i>Z </i>and Noble Gas Species

Matsuyama

Yagi

2017

Plasma and Fusion Research

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The effects of impurities on runaway electron generation are studied using a zero-dimensional disruption simulation code. For describing collisions between fast electrons and partially stripped ions, a charge-resolved expression of the Coulomb logarithm is employed. Numerical analysis of the avalanche growth rate using the adjoint Fokker-Planck method is compared with two existing semi-analytic models, showing (i) the convergence of the growth rate to strong electric field limit of the Rosenbluth-Putvinski (R-P) model and (ii) the cancellation of the effect of second-order collisional diffusion for intermediate electric fields. Using the developed current quench (CQ) simulations, the parametric study is performed with the aid of the power balance analysis, which characterizes the onset of strong avalanche amplification in the presence of low-Z and noble gas species. Thermal quench (TQ) simulations are also developed for self-consistent evaluation of hot-tail seed electrons. The deposition timescale of impurity neutrals is shown to have significant impacts on hot-tail seeds, depending nonmonotonically on the pre-TQ temperature and the injected impurity density.

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Fuelling efficiency of massive gas injection in TEXTOR: mass scaling and importance of gas flow dynamics

Cited by 26 publications

References 40 publications

The ITPA disruption database

The ITPA disruption database

Three-dimensional non-linear magnetohydrodynamic modeling of massive gas injection triggered disruptions in JET

Analysis of Avalanche Runaway Generation after Disruptions with Low-<i>Z </i>and Noble Gas Species

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