Examining transport and integrated modeling predictive capabilities for negative-triangularity scenarios

McClenaghan, J.; Marinoni, A.; Nelson, A. O.; Neiser, T.; Lao, L. L.; Staebler, G. M.; Smith, S. P.; Meneghini, O. M.; Lyons, B. C.; Snyder, P. B.; Austin, M.

doi:10.1088/1361-6587/ad7d38

Title: Examining transport and integrated modeling predictive capabilities for negative-triangularity scenarios

Journal Article · 27 September 2024 · Plasma Physics and Controlled Fusion

DOI: https://doi.org/10.1088/1361-6587/ad7d38 · OSTI ID:2477769

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^[3]; Neiser, T. ^[1];

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^[4]; Smith, S. P. ^[1];

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^[4]; Austin, M. ^[5]

General Atomics, San Diego, CA (United States)
University of California San Diego, La Jolla, CA (United States)
Columbia University, New York, NY (United States)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
University of Texas at Austin, TX (United States)

This paper investigates the predictive capabilities of TGYRO and TGLF models in assessing the performance of negative triangularity (NT) plasmas compared to positive triangularity (PT) plasmas in fusion devices. TGYRO predicts kinetic profiles, while TGLF analyzes turbulent transport. The study reveals that TGYRO reasonably predicts NT profiles similar to PT, although it overpredicts the high-power scenarios where there is increased experimental MHD activity. TGLF analysis finds reduced linear growth rates in NT and altered flux spectra relative to PT. Additionally, the TGLF SAT0 saturation model is observed to predict high-k transport and a reduction of particle transport with the electron temperature gradient. These findings are further corroborated by core-pedestal modeling using the Stability Transport Equilibrium Pedestal workflow, showing stronger confinement improvements in NT, particularly at higher power densities for the SAT0 saturation model. Furthermore, the study underscores the importance of accurately capturing turbulence saturation mechanisms for NT in order to project its performance accurately in fusion reactors.

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Research Organization:: General Atomics, San Diego, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF); USDOE Office of Science (SC), Fusion Energy Sciences (FES)

Grant/Contract Number:: FC02-04ER54698; FG02-95ER54309; FG02-97ER54415

OSTI ID:: 2477769

Journal Information:: Plasma Physics and Controlled Fusion, Journal Name: Plasma Physics and Controlled Fusion Journal Issue: 11 Vol. 66; ISSN 0741-3335

Publisher:: IOP ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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Title: Examining transport and integrated modeling predictive capabilities for negative-triangularity scenarios

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