Real-time-capable prediction of temperature and density profiles in a tokamak using RAPTOR and a first-principle-based transport model

被引:53
作者
Felici, F. [1 ,3 ]
Citrin, J. [2 ,42 ]
Teplukhina, A. A. [3 ]
Redondo, J. [4 ]
Bourdelle, C. [4 ,12 ]
Imbeaux, F. [4 ,12 ]
Sauter, O. [3 ,37 ]
Abduallev, S. [43 ]
Abhangi, M. [50 ]
Abreu, P. [57 ]
Afzal, M. [11 ]
Aggarwal, K. M. [33 ]
Ahlgren, T. [105 ]
Ahn, J. H. [12 ]
Aho-Mantila, L. [115 ]
Aiba, N. [73 ]
Airila, M. [115 ]
Albanese, R. [108 ]
Aldred, V. [11 ]
Alegre, D. [97 ]
Alessi, E. [49 ]
Aleynikov, P. [59 ]
Alfier, A. [16 ]
Alkseev, A. [76 ]
Allinson, M. [11 ]
Alper, B. [11 ]
Alves, E. [57 ]
Ambrosino, G. [108 ]
Ambrosino, R. [109 ]
Amicucci, L. [94 ]
Amosov, V. [92 ]
Sunden, E. Andersson [26 ]
Angelone, M. [94 ]
Anghel, M. [89 ]
Angioni, C. [66 ]
Appel, L. [11 ]
Appelbee, C. [11 ]
Arena, P. [34 ]
Ariola, M. [109 ]
Arnichand, H. [12 ]
Arshad, S. [45 ]
Ash, A. [11 ]
Ashikawa, N. [72 ]
Aslanyan, V. [68 ]
Asunta, O. [5 ]
Auriemma, F. [16 ]
Austin, Y. [11 ]
Avotina, L. [107 ]
Axton, M. D. [11 ]
Ayres, C. [11 ]
机构
[1] Eindhoven Univ Technol, Dept Mech Engn, Control Syst Technol Grp, POB 513, NL-5600 MB Eindhoven, Netherlands
[2] DIFFER Dutch Inst Fundamental Energy Res, Zaale 20, NL-5612 AJ Eindhoven, Netherlands
[3] Ecole Polytech Fed Lausanne, SPC, CH-1015 Lausanne, Switzerland
[4] CEA, IRFM, F-13108 St Paul Les Durance, France
[5] Aalto Univ, POB 14100, FIN-00076 Aalto, Finland
[6] Aix Marseille Univ, CNRS, Ctr Marseille, M2P2 UMR 7340, F-13451 Marseille, France
[7] Aix Marseille Univ, CNRS, IUSTI UMR 7343, F-13013 Marseille, France
[8] Aix Marseille Univ, CNRS, PIIM, UMR 7345, F-13013 Marseille, France
[9] Arizona State Univ, Tempe, AZ USA
[10] Barcelona Supercomp Ctr, Barcelona, Spain
[11] CCFE Culham Sci Ctr, Abingdon OX14 3DB, Oxon, England
[12] CEA, IRFM, F-13108 St Paul Les Durance, France
[13] Univ Calif San Diego, Ctr Energy Res, La Jolla, CA 92093 USA
[14] Ctr Brasileiro Pesquisas Fis, Rua Xavier Sigaud 160, BR-22290180 Rio De Janeiro, Brazil
[15] Consorzio CREATE, Via Claudio 21, I-80125 Naples, Italy
[16] Consorzio RFX, Corso Stati Uniti 4, I-35127 Padua, Italy
[17] Daegu Univ, Gyongsan 712174, Gyeongbuk, South Korea
[18] Univ Carlos III Madrid, Dept Fis, Madrid 28911, Spain
[19] Univ Ghent, Dept Appl Phys UG, St Pietersnieuwstr 41, B-9000 Ghent, Belgium
[20] Chalmers Univ Technol, Dept Earth & Space Sci, SE-41296 Gothenburg, Sweden
[21] Univ Cagliari, Dept Elect & Elect Engn, Piazza Armi 09123, Cagliari, Italy
[22] Comenius Univ, Dept Expt Phys, Fac Math Phys & Informat, Mlynska Dolina F2, Bratislava 84248, Slovakia
[23] Warsaw Univ Technol, Dept Mat Sci, PL-01152 Warsaw, Poland
[24] Korea Adv Inst Sci & Technol, Dept Nucl & Quantum Engn, Daejeon 34141, South Korea
[25] Univ Strathclyde, Dept Phys & Appl Phys, Glasgow G4 ONG, Lanark, Scotland
[26] Uppsala Univ, Dept Phys & Astron, SE-75120 Uppsala, Sweden
[27] Chalmers Univ Technol, Dept Phys, S-41296 Gothenburg, Sweden
[28] Imperial Coll London, Dept Phys, London SW7 2AZ, England
[29] KTH, SCI, Dept Phys, SE-10691 Stockholm, Sweden
[30] Univ Basel, Dept Phys, Basel, Switzerland
[31] Univ Oxford, Dept Phys, Oxford OX1 2JD, England
[32] Univ Warwick, Dept Phys, Coventry CV4 7AL, W Midlands, England
[33] Queens Univ, Dept Pure & Appl Phys, Belfast BT7 1NN, Antrim, North Ireland
[34] Univ Catania, Dipartimento Ingn Elettr Elettron & Informat, I-95125 Catania, Italy
[35] Univ Trento, Dipartimento Ingn Ind, Trento, Italy
[36] Dublin City Univ, Dublin, Ireland
[37] Swiss Plasma Ctr, EPFL, CH-1015 Lausanne, Switzerland
[38] EUROfus Programme Management Unit, Boltzmannstr 2, D-85748 Garching, Germany
[39] Culham Sci Ctr, EUROfus Programme Management Unit, Culham OX14 3DB, England
[40] European Commiss, B-1049 Brussels, Belgium
[41] ULB, Fluid & Plasma Dynam, Campus Plaine CP 231 Blvd Triomphe, B-1050 Brussels, Belgium
[42] FOM Inst DIFFER, Eindhoven, Netherlands
[43] Forschungszentrum Julich GmbH, Inst Energie & Klimaforsch Plasmaphys, D-52425 Julich, Germany
[44] Fourth State Res, 503 Lockhart Dr, Austin, TX USA
[45] Fus Energy Joint Undertaking, Josep Pl 2,Torres Diagonal Litoral B3, Barcelona 08019, Spain
[46] KTH, Fusion Plasma Phys, EES, SE-10044 Stockholm, Sweden
[47] Gen Atom, POB 85608, San Diego, CA 92186 USA
[48] HRS Fusion, W Orange, NJ USA
[49] IFP CNR, Via R Cozzi 53, I-20125 Milan, Italy
[50] Inst Plasma Res, Gandhinagar 382428, Gujarat, India
基金
瑞士国家科学基金会;
关键词
integrated tokamak simulation; real-time control; machine learning; tokamak profiles; tokamak transport; ELECTRON;
D O I
10.1088/1741-4326/aac8f0
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
The RAPTOR code is a control-oriented core plasma profile simulator with various applications in control design and verification, discharge optimization and real-time plasma simulation. To date, RAPTOR was capable of simulating the evolution of poloidal flux and electron temperature using empirical transport models, and required the user to input assumptions on the other profiles and plasma parameters. We present an extension of the code to simulate the temperature evolution of both ions and electrons, as well as the particle density transport. A proof-of-principle neural-network emulation of the quasilinear gyrokinetic QuaLiKiz transport model is coupled to RAPTOR for the calculation of first-principle-based heat and particle turbulent transport. These extended capabilities are demonstrated in a simulation of a JET discharge. The multi-channel simulation requires ∼0.2 s to simulate 1 second of a JET plasma, corresponding to ∼20 energy confinement times, while predicting experimental profiles within the limits of the transport model. The transport model requires no external inputs except for the boundary condition at the top of the H-mode pedestal. This marks the first time that simultaneous, accurate predictions of T e, T i and n e have been obtained using a first-principle-based transport code that can run in faster-than-real-time for present-day tokamaks. © EURATOM 2018.
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页数:11
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