Integrated modeling of boron powder injection for real-time plasma-facing component conditioning

An integrated modeling framework for investigating the application of solid boron (B) powder injection for real-time surface conditioning of plasma-facing components (PFCs) in tokamak environments is presented. Utilizing the DIII-D impurity powder dropper (IPD) setup, this study simulates B powder injection scenarios ranging from milligrams to tens of milligrams per second, corresponding to boron flux rates of 1 0 20 – 1 0 21 B/s in standard L-mode conditions. The comprehensive modeling approach combines EMC3-EIRENE for simulating the deuterium plasma background and the Dust Injection Simulator (DIS) for the ablation and transport of the boron powder particles. EMC3 trace impurity fluid modeling results show substantial boron transport to the inboard lower divertor, predominantly influenced by the main ion plasma flow. The dependency on powder particle size (5– 250 μ m ) was found to be insignificant for the scenario considered. The effects of erosion and redeposition were considered to reconcile the discrepancies with experimental observations, which saw substantial deposition on the outer divertor plasma-facing components. For this purpose, the WallDYN3D code was updated to include boron sources within the plasma domain and integrated into the modeling framework. The mixed-material migration modeling shows evolving boron deposition patterns, suggesting the formation of mixed B-C layers or predominantly B coverage depending on the powder mass flow rate. While the modeling outcomes at lower B injection rates tend to align with DIII-D experimental observations, the prediction of near-pure boron layers at higher rates has yet to be experimentally verified in the carbon environment of the DIII-D tokamak. The extensive reach of boron layers found in the modeling suggests the need for modeling that encompasses the entire wall geometry for more accurate experimental correlations. This integrated approach sets a precedent for analyzing and applying real-time in-situ boron coating techniques in advanced tokamak scenarios, potentially extendable to ITER. • New framework integrates EMC3-EIRENE, DIS, and WallDYN3D to study boron injection. • WallDYN3D updated to include boron sources from powder injection. • Injected boron mostly transported to the inboard lower divertor. • Particle size (5–250 μ m) had minimal impact on boron transport. • Erosion/redeposition modeling showed enhanced boron deposition on outer divertor.

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Publication Details

Journal
Nuclear Materials and Energy
Published
2024-12-04
DOI
https://doi.org/10.1016/j.nme.2024.101832
Citations
7
Primary Topic
Fusion materials and technologies
Type
article
Field-Weighted Citation Impact
0.82

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article

Integrated modeling of boron powder injection for real-time plasma-facing component conditioning

K. Schmid, Jeremy D. Lore, F. Nespoli, R. Maingi et al.
7 citations
Nuclear Materials and Energy
Fusion materials and technologies
0.82
article

Integrated modeling of boron powder injection for real-time plasma-facing component conditioning

K. Schmid, Jeremy D. Lore, F. Nespoli, R. Maingi, F. Effenberg, Y. Feng, D.L. Rudakov, A. Bortolon, B. A. Grierson
article en
7 citations

Abstract

An integrated modeling framework for investigating the application of solid boron (B) powder injection for real-time surface conditioning of plasma-facing components (PFCs) in tokamak environments is presented. Utilizing the DIII-D impurity powder dropper (IPD) setup, this study simulates B powder injection scenarios ranging from milligrams to tens of milligrams per second, corresponding to boron flux rates of 1 0 20 – 1 0 21 B/s in standard L-mode conditions. The comprehensive modeling approach combines EMC3-EIRENE for simulating the deuterium plasma background and the Dust Injection Simulator (DIS) for the ablation and transport of the boron powder particles. EMC3 trace impurity fluid modeling results show substantial boron transport to the inboard lower divertor, predominantly influenced by the main ion plasma flow. The dependency on powder particle size (5– 250 μ m ) was found to be insignificant for the scenario considered. The effects of erosion and redeposition were considered to reconcile the discrepancies with experimental observations, which saw substantial deposition on the outer divertor plasma-facing components. For this purpose, the WallDYN3D code was updated to include boron sources within the plasma domain and integrated into the modeling framework. The mixed-material migration modeling shows evolving boron deposition patterns, suggesting the formation of mixed B-C layers or predominantly B coverage depending on the powder mass flow rate. While the modeling outcomes at lower B injection rates tend to align with DIII-D experimental observations, the prediction of near-pure boron layers at higher rates has yet to be experimentally verified in the carbon environment of the DIII-D tokamak. The extensive reach of boron layers found in the modeling suggests the need for modeling that encompasses the entire wall geometry for more accurate experimental correlations. This integrated approach sets a precedent for analyzing and applying real-time in-situ boron coating techniques in advanced tokamak scenarios, potentially extendable to ITER. • New framework integrates EMC3-EIRENE, DIS, and WallDYN3D to study boron injection. • WallDYN3D updated to include boron sources from powder injection. • Injected boron mostly transported to the inboard lower divertor. • Particle size (5–250 μ m) had minimal impact on boron transport. • Erosion/redeposition modeling showed enhanced boron deposition on outer divertor.

Nuclear Materials and EnergyVol. 42
Oak Ridge National Laboratory (US), Princeton Plasma Physics Laboratory (US), University of California San Diego (US), Max Planck Institute for Plasma Physics - Greifswald (DE), Max Planck Institute for Plasma Physics (DE), General Atomics (United States) (US)
U.S. Department of Energy, Office of Science, Fusion Energy Sciences
Affordable and clean energy
Openalex Percentile: Top 25%
Fusion materials and technologies
0.82
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