Core to Edge Tokamak Impurity Transport Modeling Using Surrogate-Based Optimization
POSTER
Abstract
Impurity transport and accumulation are expected to play a major role in determining performance in the next generation of burning plasmas. As such, there is a growing need for integrated models of impurity transport, that can simultaneously predict the impact of impurities on both the core and edge/divertor regions. . This work seeks to fill this need by developing a modeling framework for impurity transport spanning the entire plasma. In this study, core impurity transport is modeled utilizing the OMFIT ImpRad module [Sciortino NF 2020] while transport in the SOL and divertor is modeled using SOLPS-ITER [Schneider CPP 2006]. The SOLPS-ITER modeling was facilitated by a newly implemented, surrogate-based optimization workflow based on the PORTALS framework [Rodriguez-Fernandez NF 2024]. This workflow allows for relatively rapid iteration through simulation transport parameters to match experimental conditions and will ultimately enable efficient iteration between core and edge models, creating a coupled impurity transport modeling framework. Preliminary results of this work applied to H-mode discharges, details of the core modeling and surrogate modeling techniques, and future plans for this work will be presented.
Presenters
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Ivan James Marshall
Massachusetts Institute of Technology
Authors
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Ivan James Marshall
Massachusetts Institute of Technology
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Nathan T Howard
MIT PSFC, MIT, Massachusetts Institute of Technology MIT, MIT Plasma Science and Fusion Center, Massachusetts Institute of Technology
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Rebecca L Masline
MIT Plasma Science and Fusion Center, Massachusetts Institute of Technology
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Marco Andrés Miller
MIT Plasma Science and Fusion Center, MIT PSFC
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Leonardo Corsaro
MIT Plasma Science and Fusion Center
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Michael Robert Knox Wigram
MIT Plasma Science and Fusion Center
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Pablo Rodriguez-Fernandez
MIT Plasma Science and Fusion Center, MIT PSFC