2010
DOI: 10.1002/ctpp.201010059
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Numerical Analysis of Divertor Plasma for Demo‐CREST

Abstract: The numerical analysis of the demonstration fusion reactor Demo-CREST has been carried out; this analysis focuses on impurity seeding. Several design activities for DEMO have been carried out; however, its detailed divertor plasma analysis remains to be carried out. Therefore, in this study, we discuss the possibility of neon puffing in Demo-CREST to decrease the power load to the divertor plate by using the B2-EIRENE code. It has been shown that the radiation power loss by neon increases with upstream plasma … Show more

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“…In a highly radiative plasma, the radiation power distribution in the divertor significantly affects the plasma detachment and the target heat load profile [13]. Recently, the divertor performance of Demo reactors such as Demo-CREST [15] and ITER CDA-size Demo [16,17] has been evaluated using an integrated SOLPS code package, where multi-charged seeding neon (Ne) transport is treated by fluid approximation. The former study fixed the exhausted power and particle fluxes from the confined plasma to the scrapeoff layer (SOL) and divertor, while the latter study coupled core-pedestal modelling (1.5D ASTRA) and SOL-divertor modelling (scaling low from the SOLPS evaluations).…”
Section: Introductionmentioning
confidence: 99%
“…In a highly radiative plasma, the radiation power distribution in the divertor significantly affects the plasma detachment and the target heat load profile [13]. Recently, the divertor performance of Demo reactors such as Demo-CREST [15] and ITER CDA-size Demo [16,17] has been evaluated using an integrated SOLPS code package, where multi-charged seeding neon (Ne) transport is treated by fluid approximation. The former study fixed the exhausted power and particle fluxes from the confined plasma to the scrapeoff layer (SOL) and divertor, while the latter study coupled core-pedestal modelling (1.5D ASTRA) and SOL-divertor modelling (scaling low from the SOLPS evaluations).…”
Section: Introductionmentioning
confidence: 99%