Artaud, J.

Bourdelle, C.

Camenen, Y.

Casson, F.

Citrin, J.

Ho, A.

Koechl, F.

Marin, M.

Morales, J.

Tardini, G.

English

MPG.PuRe

Towards multi-machine large-scale integrated modelling validationA. Ho1, C. Bourdelle2, J.-F. Artaud2, Y. Camenen3, F. J. Casson4, J. Citrin1, F. Koechl4,M. Marin5, J. Morales2, G. Tardini6, JET Contributors∗, the AUG team,the TCV team, and the WEST team1 DIFFER, De Zaale 20, 5612 AJ, Eindhoven, The Netherlands2 CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France3 Aix-Marseille Univ., PIIM UMR7345, Marseille, France4 EURATOM-CCFE Fusion Association, Culham Science Centre, Abingdon, OX14 3DB, UK5 Swiss Plasma Center, EPFL, 1015 Lausanne, Switzerland6 Max Planck Institute for Plasma Physics, D-85748 Garching, Germany∗ See the author list of ‘Overview of JET results for optimising ITER operation’ by J. Maillouxet al. to be published in Nuclear Fusion Special issue: Overview and Summary Papers from the28th Fusion Energy Conference (Nice, France, 10-15 May 2021)To prepare ITER operation and contribute to DEMO design, a cohesive plan to extend thestate-of-the-art in predictive integrated tokamak simulation and associated validation method-ologies has been endorsed by E-TASC (EUROfusion-Theory and Advanced Simulation Coor-dination) initiative under the acronym of TSVV11 (Theory, Simulation, Validation and Verifi-cation task on ‘Validated frameworks for the Reliable Prediction of Plasma Performance andOperational Limits in Tokamaks’). The JINTRAC simulation suite, primarily used at the JointEuropean Torus (JET) facility, was selected as a base to build the required simulation functional-ity. A sub-task of the project focuses on standardizing and automating the modelling validationand uncertainty quantification pipelines of the JINTRAC simulation suite and its componentsacross multiple experimental regimes and multiple EUROfusion devices. This task also stresstests the existing ITER IMAS architecture, the IDS data structure, and any developed tools forfacilitating cross-domain data communication and large-scale data analysis.The first stages of this validation task are presented here, including developing a rudimen-tary procedure for configuring the code accounting for current best practices in the modellingcommunity and defining suitable validation metrics. The strict definition and subsequent au-tomation of the simulation setup reduces the undesired impact of human errors and subjectivityon the validation results. Also, the amalgamation of multiple pre-existing 0D metrics (e.g. Vloop,li, stored energy, radiated power, neutron flux, etc.) allows a comparison to direct experimentalmeasurements for more meaningful validation results.The upcoming stages in this work intend to incorporate of 1D profiles and 2D line-of-sightinformation to extend the depth of validation possible. The large-scale study results can also beleveraged to categorize potential model discrepancies by their physical origins, possibly helpingto identify or prioritize missing but crucial physics within the simulation suite. Finally, thisexercise is currently limited to steady-state plasma conditions but expanding this methodologyinto time evolution simulations is recommended for future work within this project.48th EPS Conference on Plasma Physics P5a.117

Towards multi-machine large-scale integrated modelling validation

http://hdl.handle.net/21.11116/0000-000B-F472-1

Towards multi-machine large-scale integrated modelling validation

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