2008
DOI: 10.1088/0029-5515/48/7/075005
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Predictions of H-mode performance in ITER

Abstract: Time-dependent integrated predictive modelling is carried out using the PTRANSP code to predict fusion power and parameters such as alpha particle density and pressure in ITER H-mode plasmas. Auxiliary heating by negative ion neutral beam injection and ion-cyclotron heating of He 3 minority ions are modelled, and the GLF23 transport model is used in the prediction of the evolution of plasma temperature profiles. Effects of beam steering, beam torque, plasma rotation, beam current drive, pedestal temperatures, … Show more

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Cited by 91 publications
(126 citation statements)
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“…In another recent paper, 9 the performance of an ITER inductive H-mode scenario is modeled, with a particular emphasis on variations in auxiliary heating as well as reduced performance regimes. Some of the reduced performance regimes considered in Ref.…”
Section: Introductionmentioning
confidence: 99%
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“…In another recent paper, 9 the performance of an ITER inductive H-mode scenario is modeled, with a particular emphasis on variations in auxiliary heating as well as reduced performance regimes. Some of the reduced performance regimes considered in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Some of the reduced performance regimes considered in Ref. 9 are plasmas with only hydrogen or only deuterium ions, as well as discharges with reduced toroidal field, heating power, or beam voltage.…”
Section: Introductionmentioning
confidence: 99%
“…The PTRANSP code [5][6][7][8] is used to generate predictions of ITER plasmas for use as benchmarking cases. The cases are listed in Table I.…”
Section: Benchmark Casesmentioning
confidence: 99%
“…The PTRANSP code [5][6][7][8] is used to generate predictions for the plasma conditions. The predictions are integrated and self-consistent in that the heating, current-drive, and beam torques are calculated using predicted plasma profiles.…”
Section: Appendix 1 -Ptransp Predictions Of the Benchmark Casesmentioning
confidence: 99%
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