1.Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha 410073, China
2.Laboratory of Software Engineering for Complex Systems, National University of Defense Technology, Changsha 410073, China
3.School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
4.College of Mechanical and Power Engineering, China Three Gorges University, Yichang 443002, China
Corresponding Author, caolz@mail.xjtu.edu.cn
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Guang-Chun Zhang, Jie Liu, Liang-Zhi Cao, et al. Neutronic calculations of the China Dual-Functional Lithium-Lead test blanket module with the parallel discrete ordinates code hydra. [J]. Nuclear Science and Techniques 31(8):74(2020)
Guang-Chun Zhang, Jie Liu, Liang-Zhi Cao, et al. Neutronic calculations of the China Dual-Functional Lithium-Lead test blanket module with the parallel discrete ordinates code hydra. [J]. Nuclear Science and Techniques 31(8):74(2020) DOI: 10.1007/s41365-020-00789-4.
The China Dual-Functional Lithium-Lead test blanket module (DFLL-TBM) is a liquid LiPb blanket concept developed by the Institute of Nuclear Energy Safety Technology of the Chinese Academy of Sciences for testing in ITER to validate relevant tritium breeding and shielding technologies. In this study, neutronic calculations of DFLL-TBM were carried out using a massively parallel three-dimensional transport code, Hydra, with the Fusion Evaluated Nuclear Data Library/MG. Hydra was developed by the Nuclear Engineering Computational Physics Lab based on the discrete ordinates method and has been devoted to neutronic analysis and shielding evaluation for nuclear facilities. An in-house Monte-Carlo code (MCX) was employed to verify the discretized calculation model used by Hydra for the DFLL-TBM calculations. The results showed two key aspects: 1) in most material zones, Hydra solutions are in good agreement with the reference MCX results within 1%, and the maximal relative difference of the neutron flux is merely 3%, demonstrating the correctness of the calculation model; 2) whilst the current DFLL-TBM design meets the operation shielding requirement of ITER for four years, it does not satisfy the tritium self-sufficiency requirement. Compared to the two-step approach, Hydra produces higher accuracies as it does not rely on the homogenization technique during the calculation process. The parallel efficiency tests of Hydra using the DFLL-TBM model also showed that this code maintains a high parallel efficiency on,O,(100) processors, and as a result, is able to significantly improve computing performance through parallelization. Parameter studies have been carried out by varying the thickness of the beryllium armor layer and the tritium breeding zone to understand the influence of the beryllium layer and breeding zone thickness on tritium breeding performance. This establishes a foundation for further improvement in the tritium production performance of DFLL-TBM.
Discrete ordinates methodDFLL-TBMNeutronic analysisTritium breeding performance
Y. Wu, The FDS Team, Design analysis of the China dual-functional lithium lead (DFLL) test blanket module in ITER. Fusion Eng. Des. 82 (2007). https://doi.org/10.1016/j.fusengdes.2007.08.012https://doi.org/10.1016/j.fusengdes.2007.08.012
Y. Wu, W. Wang, S. Liu et al., The Chinese dual functional lithium lead-test blanket module and the testing strategy for ITER. Chin. J. Nucl. Sci. Eng. 4, 25 (2005). https://doi.org/10.1088/0029-5515/47/11/015https://doi.org/10.1088/0029-5515/47/11/015
Z. Zeng, J. Jiang, S. Chen et al., Preliminary neutronics analyses of China dual-functional lithium-lead (DFLL) test blanket module for ITER. Fusion Eng. Des. 152, 111414 (2020). https://doi.org/10.1016/j.fusengdes.2019.111414https://doi.org/10.1016/j.fusengdes.2019.111414
W. Li, W.X. Tian, S.Z. Qiu et al., Preliminary thermal-hydraulic and safety analysis of China DFLL-TBM system, Fusion Eng. Des. 88 (2013). https://doi.org/10.1016/j.fusengdes.2013.02.147https://doi.org/10.1016/j.fusengdes.2013.02.147
S. Zheng, M. Chen, J. Li et al., Neutronics analysis for the test blanket modules proposed for EAST and ITER, Nucl. Fusion, 47 (2007) 1053-1056. https://doi.org/10.1088/0029-5515/47/8/040https://doi.org/10.1088/0029-5515/47/8/040
G. Zhang, H. Wu, L. Cao et al., Study on three-dimensional heterogeneous calculation of ITER test blanket module with deterministic method. Fusion Eng. Des. 88 (2013). https://doi.org/10.1016/j.fusengdes.2013.04.019https://doi.org/10.1016/j.fusengdes.2013.04.019
B.G. Carlson, Solution of the Transport Equation by Sn Approximations. LA-1599, Los Alamos Scientific Laboratory (1953).
T. Zhang, Y. Wang, E.E. Lewis et al., A three-dimensional variational nodal method for pin-resolved neutron transport analysis of pressurized water reactors. Nucl. Sci. Eng. 188, 2 (2017). https://doi.org/10.1080/00295639.2017.1350002https://doi.org/10.1080/00295639.2017.1350002
T. Zhang, H. Wu, L. Cao et al., An improved variational nodal method for the solution of the three dimensional steady-state multi-group neutron transport equation. Nucl. Eng. Des. 337 (2018). https://doi.org/10.1016/j.nucengdes.2018.07.009https://doi.org/10.1016/j.nucengdes.2018.07.009
E.W. Larsen, W.F. Miller, Convergence rate of spatial difference equations for the discrete-ordinates neutron transport equations in slab geometry. Nucl. Sci. Eng. 73, 1 (1980). https://doi.org/10.13182/NSE80-3https://doi.org/10.13182/NSE80-3
J.S. Warsa, T.A. Wareing, J.E. Morel et al., Krylov subspace iteration for deterministic k-eigenvalue calculations. Nucl. Sci. Eng. 147, 26 (2004). https://doi.org/10.13182/NSE04-1https://doi.org/10.13182/NSE04-1
M.L. Adams, E.W. Larsen, Fast iterative methods for discrete-ordinates particle transport calculations. Prog. Nucl. Energy 40, 1 (2002). https://doi.org/10.1016/S0149-1970(01)00023-3https://doi.org/10.1016/S0149-1970(01)00023-3
W.W. Engle, A user’s manual for ANISN: A one dimensional discrete ordinates transport code with anisotropic scattering. K-1693, Ora Ridge National Laboratory (1967).
W.A. Rhoades, R.L. Childs, The DORT two-dimensional discrete ordinates transport codes. Nucl. Sci. Eng. 99, 1 (1988). https://doi.org/10.13182/NSE88-A23547https://doi.org/10.13182/NSE88-A23547
W. Rhoades, D. Simpson, The TORT three-dimensional discrete ordinates neutron/photon transport code (TORT version 3). ORNL/TM13221, Oak Ridge National Laboratory (1997).
J.E. Eggleston, M.A. Abdou, M.S. Tillack, Analysis of the energy-transport and deposition within the reaction chamber of the Prometheus inertial fusion energy reactor. Fusion Eng. Des. 27, 1 (1995). https://doi.org/10.1016/0920-3796(95)90131-0https://doi.org/10.1016/0920-3796(95)90131-0
G.S. Zhang, K.M. Feng, T. Yuan et al., Analysis and design of neutronics for an ITER test blanket module. Nucl. Fusion Plasma Phys. 25, 2 (2005). (in Chinese).
R. Feder, M. Youssef, I. Davis et al., ITER Neutronics analysis for the design of diagnostics and port plugs using ATTILA discrete ordinates software. in 2007 IEEE 22nd Symposium on Fusion Engineering, Albuquerque, NM, USA, June 17-21, 2007. https://doi.org/10.1109/FUSION.2007.4337859https://doi.org/10.1109/FUSION.2007.4337859
K.E. Royston, S.R. Johnson, T.M. Evans et al., Application of the Denovo discrete ordinates radiation transport code to large-scale fusion neutronics. Fusion Sci. Tech. 74, 2 (2018). https://doi.org/10.1080/15361055.2018.1504508https://doi.org/10.1080/15361055.2018.1504508
G. Zhang, A. Hsieh, W.S. Yang et al., Consistent pCMFD acceleration schemes of three-dimensional transport code PROTEUS-MOC. Nucl. Sci. Eng. 193 (2019). https://doi.org/10.1080/00295639.2018.1560854https://doi.org/10.1080/00295639.2018.1560854
R. Baker, K. Koch, An SN algorithm for the massively parallel CM-200 computer. Nucl. Sci. Eng. 128, 312 (1998). https://doi.org/10.13182/NSE98-1https://doi.org/10.13182/NSE98-1
G. Zhang, Three-Dimensional deterministic neutronics calculation methods for ITER test blanket module. Ph.D. Thesis (School of Nuclear Science and Technology, Xi’an Jiaotong University, 2015). (in Chinese)
L. Xu, L. Cao, Y. Zheng et al., Development of a new parallel SN code for neutron-photon transport calculation in 3-D cylindrical geometry. Prog. Nucl. Energy 94 (2017). https://doi.org/10.1016/j.pnucene.2016.09.005https://doi.org/10.1016/j.pnucene.2016.09.005
G.G. Davidson, T.M. Evans, J.J. Jarrell et al., Massively parallel, three-dimensional transport solutions for the k-eigenvalue problem. Nucl. Sci. Eng. 177 (2014). https://doi.org/10.13182/NSE12-101https://doi.org/10.13182/NSE12-101
T.A. Wareing, J.M. McGhee, J.E. Morel et al., ATTILA: A three-dimensional, unstructured tetrahedral mesh discrete ordinates transport code. Trans. Am. Nucl. Soc. 75 (1996).
A. Yamamoto, M. Tabuchi, N. Sugimura et al., Derivation of optimum polar angle quadrature set for the method of characteristics based on approximation error for the Bickley function. J. Nucl. Sci. Tech. 44, 2 (2012). https://doi.org/10.1080/18811248.2007.9711266https://doi.org/10.1080/18811248.2007.9711266
J.J. Jarrell, M.L. Adams, Discrete-Ordinates quadrature sets based on linear discontinuous finite elements. in M&C 2011, Rio de Janeiro, RJ, Brazil, May 8-12, 2011.
J. Blake, Domain decomposition methods for nuclear reactor modelling with diffusion acceleration. Ph.D. Thesis (Department of Mathematical Sciences, University of Bath, 2016).
J. Anvik, S. MacDonald, D. Szafron et al., Generating parallel programs from the wavefront design pattern. in Proceedings 16th International Parallel and Distributed Processing Symposium, Ft. Lauderdale, FL, USA, April 15-19, 2002.
R. Searles, S. Chandrasekaran, W. Joubert et al., Abstractions and directives for adapting wavefront algorithms to future architectures. in PASC’18: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, July 2-4, 2018.
J. Yu, Q. Huang, F. Wan, Research and development on the China low activation martensitic steel (CLAM). J. Nucl. Mater. 367 (2007). https://doi.org/10.1016/j.jnucmat.2007.03.236https://doi.org/10.1016/j.jnucmat.2007.03.236
A. Lopez, A. Trkov, FENDL-2.1: Update of an evaluated nuclear data library for fusion applications. No. INDC (NDS)-0467, International Atomic Energy Agency (2004).
R.E. MacFarlane, TRANSX2: a code for interfacing MATXS cross-section libraries to nuclear transport codes. LA-12312-MS, Los Alamos National Laboratory (1992).
M.J. Loughlin, P. Batistoni, C. Konno et al., ITER nuclear analysis strategy and requirement. Fusion Sci. Tech. 56, 2 (2009). https://doi.org/10.13182/FST56-566https://doi.org/10.13182/FST56-566
M. Abdou, N.B. Morley, S. Smolentsev et al., Blanket/first wall challenges and required R&D on the pathway to DEMO. Fusion Eng. Des. 100 (2015). https://doi.org/10.1016/j.fusengdes.2015.07.021https://doi.org/10.1016/j.fusengdes.2015.07.021
L. Peng, Q. Huang, S. Ohnuki et al., Swelling of CLAM steel irradiated by electron/helium to 17.5 dpa with 10 appm He/dpa. Fusion Eng. Des. 86 (2011). https://doi.org/10.1016/j.fusengdes.2011.04.067https://doi.org/10.1016/j.fusengdes.2011.04.067
Q. Huang and FDS Team, Status and strategy of CLAM steel for fusion application in China. Huang Qunying, and F. D. S. Team. Status and Strategy of CLAM Steel for Fusion Application in China. IAEA-CN--234, IAEA (2018).
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