Show simple item record

dc.contributor.authorRafiq, Tariqen_US
dc.contributor.authorWilson, Christopheren_US
dc.contributor.authorClauser, Cesar F.en_US
dc.contributor.authorSchuster, Eugenioen_US
dc.contributor.authorWeiland, Janen_US
dc.contributor.authorAnderson, Johanen_US
dc.contributor.authorKaye, Stanley M.en_US
dc.contributor.authorPankin, Alexeien_US
dc.contributor.authorLeBlanc, Benoit P.en_US
dc.contributor.authorBell, Ronald E.en_US
dc.date.accessioned2025-03-21T20:13:57Z
dc.date.available2025-03-21T20:13:57Z
dc.date.issued2024-01
dc.identifier24ja046
dc.identifier.urihttps://hdl.handle.net/1721.1/158600
dc.descriptionSubmitted for publication in Nuclear Fusion
dc.description.abstractThe objective of this study is twofold: firstly, to demonstrate the consistency between the anomalous transport results produced by updated Multi-Mode Model (MMM) version 9.04 and those obtained through gyrokinetic simulations; and secondly, to showcase MMM's ability to predict electron and ion temperature profiles in low aspect ratio, high beta NSTX discharges. MMM encompasses a range of transport mechanisms driven by electron and ion temperature gradients, trapped electrons, kinetic ballooning, peeling, microtearing, and drift resistive inertial ballooning modes. These modes within MMM are being verified through corresponding gyrokinetic results. The modes that potentially contribute to ion thermal transport are stable in MMM, aligning with both experimental data and findings from linear CGYRO simulations. The isotope effects on these modes are also studied and higher mass is found to be stabilizing, consistent with the experimental trend. The electron thermal power across the flux surface is computed within MMM and compared to experimental measurements and nonlinear CGYRO simulation results. Specifically, the electron temperature gradient modes (ETGM) within MMM account for 2.0 MW of thermal power, consistent with experimental findings. It is noteworthy that the ETGM model requires approximately 5.0 ms of computation time on a standard desktop, while nonlinear CGYRO simulations necessitate 8.0 hours on 8 K cores. MMM proves to be highly computationally efficient, a crucial attribute for various applications, including real-time control, tokamak scenario optimization, and uncertainty quantification of experimental data.
dc.publisherIOPen_US
dc.relation.isversionofdoi.org/10.1088/1741-4326/ad4d01
dc.sourcePlasma Science and Fusion Centeren_US
dc.titlePredictive modeling of NSTX discharges with the updated multi-mode anomalous transport moduleen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Plasma Science and Fusion Center
dc.relation.journalNuclear Fusion


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record