<scp>HL</scp>‐<scp>2A</scp>'s <scp>ELM</scp> cycle simulations by integrating <scp>BOUT</scp>++'s drift <scp>MHD</scp> and transport code

Abstract A new integrating model has been developed to couple tokamak edge multiscale magnetohydrodynamic (MHD) events and transport simulations, such as edge‐localized mode (ELM) cycles. As a proof of principle, we first start from a set of three‐field two‐fluid model equations, which includes the pressure, current, and vorticity. The equations are separated into the slowly evolving part of the axisymmetric component by taking a time average of the axisymmetric component. The time‐averaged fluxes, which are quadratic in fluctuating quantities, act as driven terms for the time‐averaged axisymmetric quantities that determine the plasma transport, and therefore the large‐scale evolution of the plasma profiles. Then the HL‐2A's ELM cycles are simulated using the model. Good agreements of ELM size and pedestal recovery time have been achieved for the solutions obtained from the coupled simulation compared with experiment. For one ELM cycle simulation, the coupled code can achieve a speedup of a factor of up to 30 over standalone code.

Authors

Institutions

Publication Details

Journal
Contributions to Plasma Physics
Published
2024-08-01
DOI
https://doi.org/10.1002/ctpp.202300144
Citations
1
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HL‐2A's ELM cycle simulations by integrating BOUT++'s drift MHD and transport code

Z. H. Wang, Nami Li, Xinliang Xu, Na Wu et al.
1 citations
Contributions to Plasma Physics
Magnetic confinement fusion research
0.66
article

HL‐2A's ELM cycle simulations by integrating BOUT++'s drift MHD and transport code

Z. H. Wang, Nami Li, Xinliang Xu, Na Wu, Xueke Wu, Y. Zhou, Cailong Fu
article en
1 citations

Abstract

Abstract A new integrating model has been developed to couple tokamak edge multiscale magnetohydrodynamic (MHD) events and transport simulations, such as edge‐localized mode (ELM) cycles. As a proof of principle, we first start from a set of three‐field two‐fluid model equations, which includes the pressure, current, and vorticity. The equations are separated into the slowly evolving part of the axisymmetric component by taking a time average of the axisymmetric component. The time‐averaged fluxes, which are quadratic in fluctuating quantities, act as driven terms for the time‐averaged axisymmetric quantities that determine the plasma transport, and therefore the large‐scale evolution of the plasma profiles. Then the HL‐2A's ELM cycles are simulated using the model. Good agreements of ELM size and pedestal recovery time have been achieved for the solutions obtained from the coupled simulation compared with experiment. For one ELM cycle simulation, the coupled code can achieve a speedup of a factor of up to 30 over standalone code.

Contributions to Plasma PhysicsVol. 64(7-8)
Lawrence Livermore National Laboratory (US), Southwestern Institute of Physics (CN)
Affordable and clean energy
Openalex Percentile: Top 15%
Magnetic confinement fusion research
0.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.