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

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

doi:10.1088/1361-6587/ad7d38

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

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

Fusion Theory and Modeling

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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. The study underscores the importance of accurately capturing turbulence saturation mechanisms for NT in order to project its performance accurately in fusion reactors.

Original language	English
Article number	115008
Journal	Plasma Physics and Controlled Fusion
Volume	66
Issue number	11
DOIs	https://doi.org/10.1088/1361-6587/ad7d38
State	Published - Nov 2024

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences, using the DIII-D National Fusion Facility, a DOE Office of Science user facility, under Awards: DE-FG02-95ER54309 (GA Theory Grant), DE-FC02-04ER54698 (DIII-D), DE-FG02-97ER54415, DE-SC0022270, and DE-SC0022272. Part of the data analysis was performed using the OMFIT integrated modeling framework [47]. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences, using the DIII-D National Fusion Facility, a DOE Office of Science user facility, under Awards: DE-FG02-95ER54309 (GA Theory Grant), DE-FC02-04ER54698 (DIII-D), DE-FG02-97ER54415, DE-SC0022270, and DE-SC0022272. Part of the data analysis was performed using the OMFIT integrated modeling framework [].

Keywords

capabilities
examining
integrated
modeling
predictive
transport

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10.1088/1361-6587/ad7d38

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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. (2024). Examining transport and integrated modeling predictive capabilities for negative-triangularity scenarios. Plasma Physics and Controlled Fusion, 66(11), Article 115008. https://doi.org/10.1088/1361-6587/ad7d38

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abstract = "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. 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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AU - Marinoni, A.

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AU - Lao, L. L.

AU - Staebler, G. M.

AU - Smith, S. P.

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

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