Code Integration, Data Verification, and Models Validation Using the ITER Integrated Modeling and Analysis System (IMAS) in EUROfusion
Artikel i vetenskaplig tidskrift, 2020
The ITER Integrated Modelling and Analysis System (IMAS) has been adopted by the EUROfusion Consortium as a platform to facilitate the analysis and verification of data from multiple tokamaks for the integration of physics codes and the validation of physics models for fusion plasma simulations. Data mapping tools have been developed to translate the tokamaks’ native data format into IMAS. The mapping required the adoption of standard coordinates, conventions on direction of vectors, signs of fields, and harmonization of physics units. The mapped data have been verified by running integrated simulations using Kepler workflows. Results of the test using IMAS data are reported here along with an assessment of the system for present and future fusion applications.
ITER data structure
Integrated Modelling and Analysis System
plasma equilibrium and transport simulations
Integrated modeling
workflows for integrated simulations
Författare
M. Romanelli
United Kingdom Atomic Energy Authority
R. Coelho
Instituto Superior Tecnico
D. Coster
Max-Planck-Gesellschaft
Jorge Ferreira
Instituto Superior Tecnico
L. Fleury
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
S.S. Henderson
United Kingdom Atomic Energy Authority
J. Hollocombe
United Kingdom Atomic Energy Authority
F. Imbeaux
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
T. Jonsson
Kungliga Tekniska Högskolan (KTH)
L. Kogan
United Kingdom Atomic Energy Authority
O. Meneghini
General Atomics
A. Merle
Ecole Polytechnique Federale de Lausanne (EPFL)
S. D. Pinches
ITER Organization
O. Sauter
Ecole Polytechnique Federale de Lausanne (EPFL)
G. Tardini
Max-Planck-Gesellschaft
Dimitriy Yadykin
Chalmers, Rymd-, geo- och miljövetenskap, Astronomi och plasmafysik
S. Smith
General Atomics
Pär Strand
Chalmers, Rymd-, geo- och miljövetenskap, Astronomi och plasmafysik
Fusion Science and Technology
1536-1055 (ISSN) 19437641 (eISSN)
Vol. 76 8 894-900Ämneskategorier
Biomedicinsk laboratorievetenskap/teknologi
Inbäddad systemteknik
Datorsystem
DOI
10.1080/15361055.2020.1819751