Confinement of fusion alpha-particles and Alfven eigenmode stability in STEP

The Spherical Tokamak for Energy Production (STEP) programme is focused on designing and building a prototype fusion power plant that will generate approximately 1.5–1.8 GW of deuterium-tritium fusion power. To achieve this, the α -particles generated through fusion must be adequately confined to maintain the necessary high temperature in the core of the plasma and to protect the wall from excessive damage. Microwaves will be used for both external heating and current drive, making α -particles the only significant fast-ion species. The purpose of this work is to model the confinement of α -particles and the toroidal Alfvén eigenmodes (TAEs) driven by these particles in a variety of scenarios to help determine the best configuration. The scenarios examined here have been identified by the STEP team as potential flat-top operating configurations. We use LOCUST (Lorentz Orbit Code for Use in Stellerators and Tokamaks) to model the α -particle confinement and heat-load distribution on the wall, and HALO (HAgis LOcust) to model the TAEs. The results indicate that acceptable confinement in terms of power loading can be achieved in candidate flat-top operating points, but the results are sensitive to some of the system parameters. For example, a change in the phase difference between the upper and lower edge localised mode suppression coils can increase the maximum power load on the first wall due to α -particle losses by a factor of 10.

Authors

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-01-01
DOI
https://doi.org/10.1088/1741-4326/adf120
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Confinement of fusion alpha-particles and Alfven eigenmode stability in STEP

M. Fitzgerald, A. P. K. Prokopyszyn, K. G. McClements, James Oliver et al.
SHILAP Revista de lepidopterología
Magnetic confinement fusion research
article

Confinement of fusion alpha-particles and Alfven eigenmode stability in STEP

M. Fitzgerald, A. P. K. Prokopyszyn, K. G. McClements, James Oliver, D. A. Ryan, Guoliang Xia
article en

Abstract

The Spherical Tokamak for Energy Production (STEP) programme is focused on designing and building a prototype fusion power plant that will generate approximately 1.5–1.8 GW of deuterium-tritium fusion power. To achieve this, the α -particles generated through fusion must be adequately confined to maintain the necessary high temperature in the core of the plasma and to protect the wall from excessive damage. Microwaves will be used for both external heating and current drive, making α -particles the only significant fast-ion species. The purpose of this work is to model the confinement of α -particles and the toroidal Alfvén eigenmodes (TAEs) driven by these particles in a variety of scenarios to help determine the best configuration. The scenarios examined here have been identified by the STEP team as potential flat-top operating configurations. We use LOCUST (Lorentz Orbit Code for Use in Stellerators and Tokamaks) to model the α -particle confinement and heat-load distribution on the wall, and HALO (HAgis LOcust) to model the TAEs. The results indicate that acceptable confinement in terms of power loading can be achieved in candidate flat-top operating points, but the results are sensitive to some of the system parameters. For example, a change in the phase difference between the upper and lower edge localised mode suppression coils can increase the maximum power load on the first wall due to α -particle losses by a factor of 10.

SHILAP Revista de lepidopterología
United Kingdom Atomic Energy Authority (GB)
Openalex Percentile: Top 92%
Magnetic confinement fusion research
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.