Optimization of the first wall cooling circuits to achieve an efficient coolant flow distribution in the DCLL breeding blanket

被引:0
|
作者
Nogueron, Jose A. [1 ,2 ]
Fernandez-Berceruelo, Ivan
Rapisarda, David [1 ,2 ]
机构
[1] CIEMAT, Natl Fus Lab, Avda Complutense 40, Madrid 28040, Spain
[2] UNED, Escuela Tecn Super Ingn Ind, C Juan Rosal 12, Madrid 28040, Spain
关键词
DCLL; First wall; Breeding blanket; Hydraulic network; Optimization; Genetic algorithm;
D O I
10.1016/j.fusengdes.2024.114482
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
In the current design proposal of the Dual Coolant Lithium Lead (DCLL) breeding blanket for the EU DEMO reactor, the first wall is cooled down by a succession of He channels arranged along the poloidal length. In this scheme, since He extracts around 30% of the blanket thermal power, a conservative oversizing of the coolant mass flow rate compelled by highly heterogeneous heat loads, can severely jeopardize the blanket thermal efficiency and the consumption of the auxiliary systems. A meticulous design of the hydraulic network can enhance the cooling system efficiency by ensuring that each channel is fed with a mass flow rate according to its specific needs. In this study, a novel approach employing genetic algorithms has been developed to optimize the geometry of the first wall, encompassing the feeding/collecting manifolds and channels. This optimization aims to replicate the mass flow rate distribution obtained from TOMFLOW (Tool for Optimization of Helium Mass Flow Rate Distribution), a code dedicated to determine the minimum mass flow rate required in each channel to maintain the EUROFER steel structure below 550 degrees C.
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页数:9
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