Theory Weekly Highlights for November 2020

November 06, 2020

A big data approach to validating tokamak transport models will be reported by Tom Neiser (ORISE) at the APS-DPP meeting next week. A database of 80000 time and space points was constructed from 2500 randomly selected plasma discharges in DIII-D. A set of good data selection filters was then applied to curate the dataset. The quasi-linear transport model TGLF was then successfully tested against this curated dataset. Machine learning tools are being used to identify any promising areas of improvement for the model.

November 13, 2020

Three invited talks were presented (remotely) at the APS Division of Plasma Physics conference this week:

Emily Belli presented an invited talk on “Strong Reversal of Simple Isotope Scaling Laws in Tokamak Edge Turbulence”

Valerie Izzo presented an invited talk on “MHD modeling of dispersive shell-pellet injection as an alternative disruption-mitigation technique”

Xiang Jian presented an invited talk on “Destabilization of High-Field-Side Micro-Instabilities by Large Shafranov Shift in Present and Future Devices”

Emily Belli’s research was also described in an APS press release “Turbulent Relationship: Understanding the Mysterious Hydrogen 'Isotope Effect' in Fusion Experiments” (see https://www.aps.org/newsroom/vpr/dpp/2020/11-09-2020-01.cfm)

In addition, Valerie Izzo’s research, together with that of Robert Wilcox, was described in an APS press release:
“Taming Fusion Plasmas with Ice Cubes and Diamond Shells” (see https://www.aps.org/newsroom/vpr/dpp/2020/11-09-2020-05.cfm)



Disclaimer
These highlights are reports of research work in progress and are accordingly subject to change or modification

 
 

Theory Weekly Highlights for October 2020

October 30, 2020

TGYRO has been updated to compute the total radiation loss, including impurity line radiation, dynamically. The ability to dynamically update the impurity radiation is important for reactor modeling in order to obtain more precise estimates of fusion performance. The presently implemented formulae are the (modified) Post 1977 fits to the cooling rate Lz used in ONETWO. These routines have been extracted and made fully self-contained and portable. Future improvements to include ADAS-based or other tabulated data should now be straightforward to implement and check.

October 23, 2020

Understanding the plasma response to the applied resonant magnetic perturbations (RMPs) is important for controlling the edge localized modes (ELMs) in tokamak H-mode plasmas. Linear and quasi-linear plasma response modelling offers key insights into (i) the ELM control coil current optimization, and (ii) the side effects of RMPs on the plasma transport. Such an investigation has recently been carried out for ITER, where 7 different plasma scenarios are considered covering both the pre-fusion power and the fusion power operation phases. Utilized in the modeling are the toroidal MARS-F/Q codes which have been validated against DIII-D and other tokamak experiments. Optimal coil current configurations are identified for ELM control in ITER for all these 7 scenarios, based on the linear plasma response computed by MARS-F. Utilizing the initial value quasi-linear code MARS-Q, it is found that the applied RMP fields have minor effects on the plasma toroidal flow, in particular on the core flow, in all 7 scenarios. The RMP effect on the plasma density is generally weak too in these ITER plasmas, except the 7.5 MA/2.65 T and the 7.5 MA/5.3 T scenarios, where large effect on the plasma density is found in the modeling assuming the RMP coil current configurations that maximize the ELM control. This work, which also resulted in major contributions to a journal paper (https://doi.org/10.1103/PhysRevLett.125.155001) as reported in the recent ITER newlines (https://www.iter.org/newsline/-/3502?utm_campaign=whatsnew_weekly&utm_medium=email&utm_source=20%20Oct%202020&utm_content=featured), can help guide the ELM control in the future ITER operations.

October 16, 2020

The coding style of the OMFIT project has been formatted according to the `black` Python standard, using the 140 character limit. The update involved formatting over half a million lines of code split over 3700 files. OMFIT is a community effort, with over 100 contributors from over 30 institutions. Standardizing OMFIT's coding style is beneficial for improving the readability of the source code across components developed by different contributors. The OMFIT team is confident that this standardization will help ease code review and lower the barrier for new developers to contribute to the project.

October 09, 2020

A novel flux-surface parameterization has been developed that is suitable for local MHD equilibrium calculations with strongly-shaped flux surfaces. The method is based on a systematic expansion in a small number of intuitive shape parameters, and reduces to the well-known Miller D-shaped parameterization in the limit where some of the coefficients are set to zero. The new parameterization is valid for up-down asymmetric plasmas and provides an improvement to the Miller form. Simultaneously, the method is rapidly convergent and requires only about half the number of shape parameters as a general Fourier representation in the pedestal. The new approach has been implemented in GACODE for use with NEO, CGYRO, and TGYRO. It allows one to carry out edge neoclassical and turbulence simulations with the accuracy of a brute-force Fourier parameterization, but with the convenience of an explicit and intuitive Miller-type model.

October 02, 2020

High energy, relativistic, runaway electrons (REs) formed during plasma disruption have been shown to be capable of locally melting the metallic wall in present day tokamak devices such as JET. The situation can be even more severe in ITER if REs are not efficiently mitigated or avoided. In a study supported by internal funding, a passive helical coil, which produce 3D magnetic field perturbations due to inductively generated currents during the plasma disruption is being designed to dissipate the RE current when a large and fast change in the magnetic flux occurs. Such passive coils may be particularly useful for reducing RE seeding in future large devices. Utilizing the recently developed MARS-F REORBIT module, REs loss modeling was performed for a DIII-D discharge, where the geometry of helical coils was optimized to produce the best spectrum for the applied 3D vacuum field. Assuming a 100 kA-turn helical coil current, up to 70% of REs are found to be lost to the DIII-D limiting surface within less than 1 msec. The loss fraction is found to be sensitive to the plasma equilibrium current, the assumed coil current as well as the coil geometry. With the same coil geometry and current, modeling shows a higher loss fraction at increased plasma current. The coil geometry that maximizes the magnetic field line stochasticity produces stronger RE losses during the initial stage of the simulation, but does not necessarily result in the largest loss fraction in steady state. For the modeled cases, the majority of the lost REs hit the high field side of the limiting surface. This study helps to quantify the RE mitigation efficiency by 3D passive helical coils. Similar coil design strategies and RE loss modeling can be applied for future large devices.



Disclaimer
These highlights are reports of research work in progress and are accordingly subject to change or modification

 
 

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