000169376 001__ 169376
000169376 005__ 20190617200647.0
000169376 0247_ $$2doi$$a10.1088/0029-5515/51/8/083052
000169376 02470 $$2ISI$$a000294729400053
000169376 037__ $$aARTICLE
000169376 245__ $$aReal-time physics-model-based simulation of the current density profile in tokamak plasmas
000169376 269__ $$a2011
000169376 260__ $$bIOP$$c2011
000169376 336__ $$aJournal Articles
000169376 500__ $$aCopyright Euratom 2011
000169376 520__ $$aA new paradigm is presented to reconstruct the plasma current density profile in a tokamak in real-time. The traditional method of basing the reconstruction on real-time diagnostics combined with a real-time Grad-Shafranov solver suffers from the difficulty of obtaining reliable internal current profile measurements with sufficient spatial and temporal accuracy to have a complete picture of the profile evolution at all times. A new methodology is proposed in which the plasma current density profile is simulated in real-time by solving the first-principle physics-based equations determining its evolution. Effectively, an interpretative transport simulation similar to those run today in post-plasma shot analysis is performed in real-time. This provides real-time reconstructions of the current density profile with spatial and temporal resolution constrained only by the capabilities of the computational platform used and not by the available diagnostics or the choice of basis functions. The diagnostic measurements available in real-time are used to constrain and improve the accuracy of the simulated profiles. Estimates of other plasma quantities, related to the current density profile, become available in real-time as well. The implementation of the proposed paradigm in the TCV tokamak is discussed, and its successful use in plasma experiments is demonstrated. This framework opens up the possibility of unifying $q$ profile reconstructions across different tokamaks using a common physics model and will support a wealth of applications in which improved real-time knowledge of the plasma state is used for feedback control, disruption avoidance, scenario monitoring, and external disturbance estimation.
000169376 6531_ $$aEquilibrium Reconstruction
000169376 6531_ $$aTransport
000169376 700__ $$0242258$$g177133$$aFelici, F.
000169376 700__ $$0240094$$g106355$$aSauter, O.
000169376 700__ $$0240118$$g112823$$aCoda, S.
000169376 700__ $$0241789$$g105038$$aDuval, B. P.
000169376 700__ $$g105282$$aGoodman, T. P.$$0240803
000169376 700__ $$0240130$$aMoret, J.-M.$$g105910
000169376 700__ $$0242269$$g174354$$aPaley, J. I.
000169376 773__ $$j51$$tNuclear Fusion$$k8$$q083052
000169376 8564_ $$uhttp://iopscience.iop.org/0029-5515$$zURL
000169376 8564_ $$uhttp://crpplocal.epfl.ch/pinboard/jpapers/1102504.pdf$$zURL
000169376 8564_ $$uhttps://infoscience.epfl.ch/record/169376/files/1102504.pdf$$zn/a$$s1436672
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000169376 937__ $$aEPFL-ARTICLE-169376
000169376 970__ $$a11025/CRPP
000169376 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000169376 980__ $$aARTICLE