2009 23rd IEEE/NPSS Symposium on Fusion Engineering 2009
DOI: 10.1109/fusion.2009.5226368
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Impact of the SiC FCI in the DCLL blanket module on the nuclear environment inside a Demo reactor configuration

Abstract: Abstract-The effects of the inclusion of the SiC flow channel insert (FCI) in a dual-coolant lithium-lead (DCLL) blanket placed in a representative Demo reactor on various key neutronics parameters are studied. These parameters are: tritium production ratio (TBR), power multiplication (PM), profiles of nuclear heating, peak damage parameters (dpa, helium and hydrogen production rates) in the structure, vacuum vessel and shield, peak heating rate and fast neutron fluence in the TF coils. Various thicknesses and… Show more

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Cited by 2 publications
(4 citation statements)
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“…The blanket is characterized by a TBR of 1.44 for the outboard module and a TBR of 1.31 for the inboard module, which results in an average value of 1.41. For a divertor coverage of 12%, this yields an overall TBR of 1.24 for the specified blanket design, which is in very good agreement with published calculations [10]. For the simulations below, we assume that 80% of the total surface can be covered with blanket modules resulting in a global TBR of 1.125.…”
Section: Outboard Modulesupporting
confidence: 82%
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“…The blanket is characterized by a TBR of 1.44 for the outboard module and a TBR of 1.31 for the inboard module, which results in an average value of 1.41. For a divertor coverage of 12%, this yields an overall TBR of 1.24 for the specified blanket design, which is in very good agreement with published calculations [10]. For the simulations below, we assume that 80% of the total surface can be covered with blanket modules resulting in a global TBR of 1.125.…”
Section: Outboard Modulesupporting
confidence: 82%
“…This blanket design has been detailed in the US DCLL Design Description Document submitted to the ITER Test Blanket Working Group [9] and further refined since then. We use updated design information from Youssef et al, summarized in table 1, to simulate a module using the Monte Carlo N-Particle code MCNP [10].…”
Section: Weapons Materials Production Via Fusion In a Lead-lithium Bl...mentioning
confidence: 99%
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