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GAO Fangfang (高芳芳), ZHANG Xiaokang (张小康), PU Yong (蒲勇), ZHU Qingjun (祝庆军), LIU Songlin (刘松林). Analysis of Time-Dependent Tritium Breeding Capability of Water Cooled Ceramic Breeder Blanket for CFETR[J]. Plasma Science and Technology, 2016, 18(8): 865-869. DOI: 10.1088/1009-0630/18/8/13
Citation: GAO Fangfang (高芳芳), ZHANG Xiaokang (张小康), PU Yong (蒲勇), ZHU Qingjun (祝庆军), LIU Songlin (刘松林). Analysis of Time-Dependent Tritium Breeding Capability of Water Cooled Ceramic Breeder Blanket for CFETR[J]. Plasma Science and Technology, 2016, 18(8): 865-869. DOI: 10.1088/1009-0630/18/8/13

Analysis of Time-Dependent Tritium Breeding Capability of Water Cooled Ceramic Breeder Blanket for CFETR

Funds: supported by the National Magnetic Conˉnement Fusion Science Program of China (Nos. 2013GB108004, 2015GB108002, and 2014GB119000), and by National Natural Science Foundation of China (No. 11175207)
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  • Received Date: September 07, 2015
  • Attaining tritium self-sufficiency is an important mission for the Chinese Fusion Engineering Testing Reactor (CFETR) operating on a Deuterium-Tritium (D-T) fuel cycle. It is necessary to study the tritium breeding ratio (TBR) and breeding tritium inventory variation with operation time so as to provide an accurate data for dynamic modeling and analysis of the tritium fuel cycle. A water cooled ceramic breeder (WCCB) blanket is one candidate of blanket concepts for the CFETR. Based on the detailed 3D neutronics model of CFETR with the WCCB blanket, the time-dependent TBR and tritium surplus were evaluated by a coupling calculation of the Monte Carlo N-Particle Transport Code (MCNP) and the fusion activation code FISPACT-2007. The results indicated that the TBR and tritium surplus of the WCCB blanket were a function of operation time and fusion power due to the Li consumption in breeder and material activation. In addition, by comparison with the results calculated by using the 3D neutronics model and employing the transfer factor constant from 1D to 3D, it is noted that 1D analysis leads to an over-estimation for the time-dependent tritium breeding capability when fusion power is larger than 1000 MW.
  • 1 Chan V S, Costley A E, Wan B N, et al. 2015, Nucl. Fusion, 55: 023017 2 Ma Xuebin, Liu Songlin, Li Jia, et al. 2014, Plasma Science and Technology, 16: 390 3 Liu Songlin, Pu Yong, Cheng Xiaoman, et al. 2014, Fusion Engineering and Design, 89: 1380 4 Zhu Qingjun, Li Jia, Liu Songlin. 2016, Plasma Science and Technology, 18: 775 5 Aures A, Packer L W, Zheng S. 2013, Fusion Engineering and Design, 88: 2436 6 Packer L W, Pampin R, Zheng S. 2011, Journal of Nuclear Materials, 417: 718 7 Pu Yong, Chen Yixue, Liu Songlin, et al. 2016, Nuclear Fusion and Plasma Physics, 36: 71 (in Chinese) 8 Briesmeister J F. 2000, MCNP TM-A general Monte Carlo N-particle transport code. Version 4C, LA-13709-M, Los Alamos National Laboratory, http: //permalink.lanl.gov/object/trwhat=info : lanlrepo/lareport/LA-13709-M. 9 Forrest R A, Kopecky J. 2009, Journal of Nuclear Materials, 386: 878 10 Clement Fausser, Antonella Li Puma, Franck Gabriel, et al. 2012, Fusion Engineering and Design, 87: 787 11 Lopez Al-dama D, Trkov A. 2004, FENDL-2.1: update of an evaluated nuclear data library for fusion applications ReportINDC(NDS)-467, International Atomic Energy Agency (IAEA),Vienna. https://www-nds.iaea.org/publications/indc/indc-nds-0467
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