共 11 条
Assessment of DEMO WCLL breeding blanket primary heat transfer system isolation valve absorbed doses due to activated water
被引:9
|作者:
Chiovaro, P.
[1
]
Ciattaglia, S.
[2
]
Cismondi, F.
[2
]
Del Nevo, A.
[3
]
Di Maio, P. A.
[1
]
Federici, G.
[2
]
Moscato, I
[1
]
Spagnuolo, G. A.
[4
]
Vallone, E.
[1
]
机构:
[1] Univ Palermo, Dipartimento Ingn, Viale Sci, I-90128 Palermo, Italy
[2] EUROfus Consortium, Boltzmannstr 2, D-85748 Garching, Germany
[3] ENEA Brasimone I, I-40032 Camugnano, BO, Italy
[4] Karlsruhe Inst Technol KIT, Hermann Helmholtz Pl 1, D-76344 Eggenstein Leopoldshafen, Germany
关键词:
DEMO;
WCLL blanket;
Dose;
Neutronics;
D O I:
10.1016/j.fusengdes.2020.111999
中图分类号:
TL [原子能技术];
O571 [原子核物理学];
学科分类号:
0827 ;
082701 ;
摘要:
Within the framework of the activities foreseen by the EUROfusion action on the cooling water activation assessment for a DEMO reactor equipped with a Water Cooled Lithium Lead Breeding Blanket (WCLL BB), the University of Palermo is involved in the investigation of the absorbed dose induced by the decay of nitrogen radioisotopes produced by water activation, in the main components (e.g. isolation valves) of both First Wall (FW) and Breeder Zone (BZ) cooling circuits. The aim of this work is to assess the spatial distribution of the absorbed dose in the DEMO Upper Pipe Chase (UPC), focusing the attention on the space neighbouring a typical isolation valve of the Primary Heat Transfer System (PHTS), taking into account a period of 7 full power years. To this end, a computational approach has been followed adopting MCNP5 Monte Carlo code. In particular, a totally heterogeneous neutronic model of a portion of the UPC has been set up, including the valve and the main FW and BZ PHTS piping, and the spatial distribution of nitrogen isotopes concentrations, previously assessed, have been used to model the photonic and neutmnic sources. The results obtained, herewith presented and critically discussed, provided some information on the nuclear issues of the WCLL BB PHTS, to be considered as hints for the blanket design optimization.
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