Orchestrating TRANSP Simulations for Interpretative and Predictive Tokamak Modeling with OMFIT

Grierson, B. A.; Yuan, X.; Gorelenkova, M.; Kaye, S.; Logan, N. C.; Meneghini, O.; Haskey, S. R.; Buchanan, J.; Fitzgerald, M.; Smith, S. P.; Cui, L.; Budny, R. V.; Poli, F. M.

doi:10.1080/15361055.2017.1398585

Title: Orchestrating TRANSP Simulations for Interpretative and Predictive Tokamak Modeling with OMFIT

Journal Article · Wed Feb 21 00:00:00 EST 2018 · Fusion Science and Technology

DOI:https://doi.org/10.1080/15361055.2017.1398585· OSTI ID:1424383

^[1]; Yuan, X. ^[1]; Gorelenkova, M. ^[1]; Kaye, S. ^[1]; Logan, N. C. ^[1]; Meneghini, O. ^[2]; Haskey, S. R. ^[1]; Buchanan, J. ^[3]; Fitzgerald, M. ^[3]; Smith, S. P. ^[2]; Cui, L. ^[1]; Budny, R. V. ^[1]; Poli, F. M. ^[1]

Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
General Atomics, San Diego, CA (United States)
Culham Science Centre, Abingdon (United Kingdom). Culham Centre for Fusion Energy (CCFE), EURATOM/UKAEA Fusion Association

TRANSP simulations are being used in the OMFIT work- flow manager to enable a machine independent means of experimental analysis, postdictive validation, and predictive time dependent simulations on the DIII-D, NSTX, JET and C-MOD tokamaks. The procedures for preparing the input data from plasma profile diagnostics and equilibrium reconstruction, as well as processing of the time-dependent heating and current drive sources and assumptions about the neutral recycling, vary across machines, but are streamlined by using a common workflow manager. Settings for TRANSP simulation fidelity are incorporated into the OMFIT framework, contrasting between-shot analysis, power balance, and fast-particle simulations. A previously established series of data consistency metrics are computed such as comparison of experimental vs. calculated neutron rate, equilibrium stored energy vs. total stored energy from profile and fast-ion pressure, and experimental vs. computed surface loop voltage. Discrepancies between data consistency metrics can indicate errors in input quantities such as electron density profile or Zeff, or indicate anomalous fast-particle transport. Measures to assess the sensitivity of the verification metrics to input quantities are provided by OMFIT, including scans of the input profiles and standardized post-processing visualizations. For predictive simulations, TRANSP uses GLF23 or TGLF to predict core plasma profiles, with user defined boundary conditions in the outer region of the plasma. ITPA validation metrics are provided in post-processing to assess the transport model validity. By using OMFIT to orchestrate the steps for experimental data preparation, selection of operating mode, submission, post-processing and visualization, we have streamlined and standardized the usage of TRANSP.

View Accepted Manuscript (DOE)

Cite

Export

Save

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

Sponsoring Organization:: USDOE Office of Science (SC), Fusion Energy Sciences (FES)

Grant/Contract Number:: FC02-04ER54698; AC02-09CH11466

OSTI ID:: 1424383

Journal Information:: Fusion Science and Technology, Vol. 73, Issue 2018; Related Information: Pages 1-15; ISSN 1536-1055

Publisher:: American Nuclear SocietyCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 34 works

Citation information provided by
Web of Science

References (36)

Integrated modeling applications for tokamak experiments with OMFIT Meneghini, O.; Smith, S. P.; Lao, L. L. Nuclear Fusion, Vol. 55, Issue 8 https://doi.org/10.1088/0029-5515/55/8/083008	journal	July 2015
Simultaneous measurement of q and Er profiles using the motional Stark effect in high-performance DIII-D plasmas (invited) Rice, B. W.; Nilson, D. G.; Burrell, K. H. Review of Scientific Instruments, Vol. 70, Issue 1 https://doi.org/10.1063/1.1149317	journal	January 1999
Predictive simulations of ITER including neutral beam driven toroidal rotation Halpern, Federico D.; Kritz, Arnold H.; Bateman, Glenn Physics of Plasmas, Vol. 15, Issue 6 https://doi.org/10.1063/1.2931037	journal	June 2008
Reconstruction of current profile parameters and plasma shapes in tokamaks Lao, L. L.; St. John, H.; Stambaugh, R. D. Nuclear Fusion, Vol. 25, Issue 11 https://doi.org/10.1088/0029-5515/25/11/007	journal	November 1985
GLF23 Modeling of Turbulent Transport in DIII-D Kinsey, J. E. Fusion Science and Technology, Vol. 48, Issue 2 https://doi.org/10.13182/FST05-A1060	journal	October 2005
Parallel electric resistivity in the TFTR tokamak Zarnstorff, M. C.; McGuire, K.; Bell, M. G. Physics of Fluids B: Plasma Physics, Vol. 2, Issue 8 https://doi.org/10.1063/1.859456	journal	August 1990
Magnetic topology, disruptions and electron heat transport Rebut, P. H.; Brusati, M. Plasma Physics and Controlled Fusion, Vol. 28, Issue 1A https://doi.org/10.1088/0741-3335/28/1A/010	journal	January 1986
Statistical validation of predictive TRANSP simulations of baseline discharges in preparation for extrapolation to JET D–T Kim, Hyun-Tae; Romanelli, M.; Yuan, X. Nuclear Fusion, Vol. 57, Issue 6 https://doi.org/10.1088/1741-4326/aa6b80	journal	May 2017
New techniques for calculating heat and particle source rates due to neutral beam injection in axisymmetric tokamaks Goldston, R. J.; McCune, D. C.; Towner, H. H. Journal of Computational Physics, Vol. 43, Issue 1 https://doi.org/10.1016/0021-9991(81)90111-X	journal	September 1981
The first transport code simulations using the trapped gyro-Landau-fluid model Kinsey, J. E.; Staebler, G. M.; Waltz, R. E. Physics of Plasmas, Vol. 15, Issue 5 https://doi.org/10.1063/1.2889008	journal	May 2008
Fast-ion Dα measurements of the fast-ion distribution (invited) Heidbrink, W. W. Review of Scientific Instruments, Vol. 81, Issue 10 https://doi.org/10.1063/1.3478739	journal	October 2010
Numerical Transport Codes Ongena, J. P. H. E.; Voitsekhovitch, I.; Evrard, M. Fusion Science and Technology, Vol. 61, Issue 2T https://doi.org/10.13182/FST12-A13505	journal	February 2012
Simulations towards the achievement of non-inductive current ramp-up and sustainment in the National Spherical Torus Experiment Upgrade Poli, F. M.; Andre, R. G.; Bertelli, N. Nuclear Fusion, Vol. 55, Issue 12 https://doi.org/10.1088/0029-5515/55/12/123011	journal	October 2015
Gyro-Landau fluid equations for trapped and passing particles Staebler, G. M.; Kinsey, J. E.; Waltz, R. E. Physics of Plasmas, Vol. 12, Issue 10 https://doi.org/10.1063/1.2044587	journal	October 2005
MHD Equilibrium Reconstruction in the DIII-D Tokamak Lao, L. L.; John, H. E. St.; Peng, Q. Fusion Science and Technology, Vol. 48, Issue 2 https://doi.org/10.13182/FST48-968	journal	October 2005
Quantification of the impact of large and small-scale instabilities on the fast-ion confinement in ASDEX Upgrade Geiger, B.; Weiland, M.; Mlynek, A. Plasma Physics and Controlled Fusion, Vol. 57, Issue 1 https://doi.org/10.1088/0741-3335/57/1/014018	journal	November 2014
The behaviour of fast ions in tokamak experiments Heidbrink, W. W.; Sadler, G. J. Nuclear Fusion, Vol. 34, Issue 4 https://doi.org/10.1088/0029-5515/34/4/I07	journal	April 1994
Integrated modelling of steady-state scenarios and heating and current drive mixes for ITER Murakami, M.; Park, J. M.; Giruzzi, G. Nuclear Fusion, Vol. 51, Issue 10 https://doi.org/10.1088/0029-5515/51/10/103006	journal	August 2011
Alpha heating in ITER L-mode and H-mode plasmas Budny, R. V. Nuclear Fusion, Vol. 52, Issue 1 https://doi.org/10.1088/0029-5515/52/1/013001	journal	November 2011
Fusion power production in International Thermonuclear Experimental Reactor baseline H-mode scenarios Rafiq, T.; Kritz, A. H.; Kessel, C. E. Physics of Plasmas, Vol. 22, Issue 4 https://doi.org/10.1063/1.4917522	journal	April 2015
Off-axis neutral beam current drive for advanced scenario development in DIII-D Murakami, M.; Park, J. M.; Petty, C. C. Nuclear Fusion, Vol. 49, Issue 6 https://doi.org/10.1088/0029-5515/49/6/065031	journal	May 2009
Improved Multi-Mode anomalous transport module for tokamak plasmas Luo, L.; Rafiq, T.; Kritz, A. H. Computer Physics Communications, Vol. 184, Issue 10 https://doi.org/10.1016/j.cpc.2013.05.013	journal	October 2013
Validation metrics for turbulent plasma transport Holland, C. Physics of Plasmas, Vol. 23, Issue 6 https://doi.org/10.1063/1.4954151	journal	June 2016
Bootstrap current and neoclassical transport in tokamaks of arbitrary collisionality and aspect ratio Houlberg, W. A.; Shaing, K. C.; Hirshman, S. P. Physics of Plasmas, Vol. 4, Issue 9 https://doi.org/10.1063/1.872465	journal	September 1997
Experimental and modeling uncertainties in the validation of lower hybrid current drive Poli, F. M.; Bonoli, P. T.; Chilenski, M. Plasma Physics and Controlled Fusion, Vol. 58, Issue 9 https://doi.org/10.1088/0741-3335/58/9/095001	journal	July 2016
Novel free-boundary equilibrium and transport solver with theory-based models and its validation against ASDEX Upgrade current ramp scenarios Fable, E.; Angioni, C.; Casson, F. J. Plasma Physics and Controlled Fusion, Vol. 55, Issue 12 https://doi.org/10.1088/0741-3335/55/12/124028	journal	November 2013
Dependence of intrinsic torque and momentum confinement on normalized gyroradius and collisionality in the DIII-D tokamak Chrystal, C.; Grierson, B. A.; Solomon, W. M. Physics of Plasmas, Vol. 24, Issue 4 https://doi.org/10.1063/1.4978563	journal	April 2017
Simulations of deuterium-tritium experiments in TFTR Budny, R. V.; Bell, M. G.; Biglari, H. Nuclear Fusion, Vol. 32, Issue 3 https://doi.org/10.1088/0029-5515/32/3/I07	journal	March 1992
Integrated modeling of temperature profiles in L-mode tokamak discharges Rafiq, T.; Kritz, A. H.; Tangri, V. Physics of Plasmas, Vol. 21, Issue 12 https://doi.org/10.1063/1.4903464	journal	December 2014
The tokamak Monte Carlo fast ion module NUBEAM in the National Transport Code Collaboration library Pankin, Alexei; McCune, Douglas; Andre, Robert Computer Physics Communications, Vol. 159, Issue 3 https://doi.org/10.1016/j.cpc.2003.11.002	journal	June 2004
A gyro-Landau-fluid transport model Waltz, R. E.; Staebler, G. M.; Dorland, W. Physics of Plasmas, Vol. 4, Issue 7 https://doi.org/10.1063/1.872228	journal	July 1997
A theory-based transport model with comprehensive physics Staebler, G. M.; Kinsey, J. E.; Waltz, R. E. Physics of Plasmas, Vol. 14, Issue 5 https://doi.org/10.1063/1.2436852	journal	May 2007
Comparisons of predicted plasma performance in ITER H-mode plasmas with various mixes of external heating Budny, R. V. Nuclear Fusion, Vol. 49, Issue 8 https://doi.org/10.1088/0029-5515/49/8/085008	journal	July 2009
Predictions of H-mode performance in ITER Budny, R. V.; Andre, R.; Bateman, G. Nuclear Fusion, Vol. 48, Issue 7 https://doi.org/10.1088/0029-5515/48/7/075005	journal	May 2008
The behaviour of fast ions in tokamak experiments Heidbrink, W. W.; Sadler, G. J. Nuclear Fusion, Vol. 35, Issue 2 https://doi.org/10.1088/0029-5515/35/2/514	journal	February 1995
Numerical Transport Codes Ongena, J. P. H. E.; Voitsekhovitch, I.; Evrard, M. Fusion Science and Technology, Vol. 57, Issue 2T https://doi.org/10.13182/fst10-a9429	journal	February 2010

Cited By (12)

Neutron Diagnostics for Tokamak Plasma: From a Plasma Diagnostician Perspective Bielecki, J.; Kurowski, A. Journal of Fusion Energy, Vol. 38, Issue 3-4 https://doi.org/10.1007/s10894-018-0195-9	journal	October 2018
Validation of nonlinear gyrokinetic transport models using turbulence measurements White, A. E. Journal of Plasma Physics, Vol. 85, Issue 1 https://doi.org/10.1017/s0022377818001253	journal	February 2019
Relative intensity calibration of the DIII-D charge-exchange recombination spectroscopy system using neutral beam injection into gas Grierson, B. A.; Burrell, K. H.; Chrystal, C. Review of Scientific Instruments, Vol. 89, Issue 10 https://doi.org/10.1063/1.5037333	journal	October 2018
Active spectroscopy measurements of the deuterium temperature, rotation, and density from the core to scrape off layer on the DIII-D tokamak (invited) Haskey, S. R.; Grierson, B. A.; Stagner, L. Review of Scientific Instruments, Vol. 89, Issue 10 https://doi.org/10.1063/1.5038349	journal	October 2018
Propagation of input parameter uncertainties in transport models Vaezi, P.; Holland, C.; Grierson, B. A. Physics of Plasmas, Vol. 25, Issue 10 https://doi.org/10.1063/1.5053906	journal	October 2018
Main-ion intrinsic toroidal rotation across the ITG/TEM boundary in DIII-D discharges during ohmic and electron cyclotron heating Grierson, B. A.; Chrystal, C.; Haskey, S. R. Physics of Plasmas, Vol. 26, Issue 4 https://doi.org/10.1063/1.5090505	journal	April 2019
Predict-first experiments and modeling of perturbative cold pulses in the DIII-D tokamak Rodriguez-Fernandez, P.; White, A. E.; Howard, N. T. Physics of Plasmas, Vol. 26, Issue 6 https://doi.org/10.1063/1.5096800	journal	June 2019
OMFIT Tokamak Profile Data Fitting and Physics Analysis Logan, N. C.; Grierson, B. A.; Haskey, S. R. Fusion Science and Technology, Vol. 74, Issue 1-2 https://doi.org/10.1080/15361055.2017.1386943	journal	January 2018
Main ion and impurity edge profile evolution across the L- to H-mode transition on DIII-D Haskey, S. R.; Grierson, B. A.; Chrystal, C. Plasma Physics and Controlled Fusion, Vol. 60, Issue 10 https://doi.org/10.1088/1361-6587/aad702	journal	August 2018
Perturbative transport modeling of cold-pulse dynamics in Alcator C-Mod Ohmic plasmas Rodriguez-Fernandez, P.; White, A. E.; Howard, N. T. Nuclear Fusion, Vol. 59, Issue 6 https://doi.org/10.1088/1741-4326/ab1575	journal	May 2019
Simulation of neutron emission in neutral beam injection heated plasmas with the real-time code RABBIT Weiland, M.; Bilato, R.; Collins, C. S. Nuclear Fusion, Vol. 59, Issue 8 https://doi.org/10.1088/1741-4326/ab1edd	journal	June 2019
Towards enhanced performance in fusion plasmas via turbulence suppression by MeV ions Mazzi, S.; Garcia, J.; Zarzoso, D. arXiv https://doi.org/10.48550/arxiv.2010.07977	preprint	January 2020

Similar Records

Integrated modeling applications for tokamak experiments with OMFIT

Journal Article · Wed Jul 01 00:00:00 EDT 2015 · Nuclear Fusion · OSTI ID:1424383

Meneghini, O.; Smith, S. P.; Lao, L. L.; +21 more

OMFIT Tokamak Profile Data Fitting and Physics Analysis

Journal Article · Mon Jan 22 00:00:00 EST 2018 · Fusion Science and Technology · OSTI ID:1424383

Logan, N. C.; Grierson, B. A.; Haskey, S. R.; +3 more

TRANSP Tests Of TGLF and Predictions For ITER

Conference · Wed Feb 26 00:00:00 EST 2014 · OSTI ID:1424383

Budny, Robert; Yuan, Xingqiu

Related Subjects

70 PLASMA PHYSICS AND FUSION TECHNOLOGY
TRANSP
integrated simulations
plasma transport

Title: Orchestrating TRANSP Simulations for Interpretative and Predictive Tokamak Modeling with OMFIT

Citation Formats

References (36)

Cited By (12)

Similar Records

Related Subjects