Issue |
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
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Article Number | 02022 | |
Number of page(s) | 8 | |
Section | Core Analysis Methods | |
DOI | https://doi.org/10.1051/epjconf/202124702022 | |
Published online | 22 February 2021 |
https://doi.org/10.1051/epjconf/202124702022
ONE- AND TWO-NODE HYBRID LEAKAGE-CORRECTED 3-D CMFD ALGORITHM FOR FAST AND ACCURATE PIN-WISE PWR ANALYSIS
Department of Nuclear and Quantum Engineering, Korea Advance Institute of Science and Technology, 291 Daehak-ro, Yueseong-gu, Daejeon, Korea, 34141, Republic of Korea
najaeha@kaist.ac.kr
hwanyealyu@kaist.ac.kr
yongheekim@kaist.ac.kr
Published online: 22 February 2021
The HCMFD (Hybrid Coarse-Mesh Finite Difference) with GPS (GET Plus SPH) method and its 3-D application are investigated in this paper. In the HCMFD algorithm, a parallel computing for a pin-by-pin core calculation can be performed very effectively with a non-linear local-global iterative scheme. For an effective parallel computing, the one-node CMFD is used to solve a global eigenvalue problem. The conventional two-node CMFD is used for solving local fixed source problems with incoming current boundary conditions. The GPS method is a leakage correction method to correct the pin-wise XSs of the conventional GET-based two-step procedure. In the GPS method, the XS-dependent SPH factors are parameterized as a function of the pin-wise albedo information, current-to-flux ratio (CFR). With updated XS-wise SPH factors, the pin-wise XSs are corrected in order to improve the accuracy of the conventional two-step core analysis. The GPS method is implemented to an in-house pin-by-pin diffusion solver with the HCMFD algorithm to keep their strong points together. In this paper, several 3-D variant cores of KAIST-1A benchmark problem were chosen to demonstrate the combination of HCMFD and GPS (HCMFD-GPS) method.
Key words: Pin-by-pin diffusion analysis / HCMFD algorithm / GPS method / parallel computing
© The Authors, published by EDP Sciences, 2021
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