DEVELOPMENT OF MPACT FOR FULL-CORE SIMULATIONS OF MAGNOX GAS-COOLED NUCLEAR REACTORS
Autor: | Cole Gentry, Kang Seog Kim, R.W. Mills, Benjamin Collins, Shane Stimpson, Brian J Ade, Andrew J. Conant, Nicholas P. Luciano |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Neutron transport
Nuclear engineering Control rod Physics QC1-999 Monte Carlo method 010103 numerical & computational mathematics Oak Ridge National Laboratory Solver 01 natural sciences full-core neutron transport 010101 applied mathematics Method of characteristics magnox Convergence (routing) Environmental science Light-water reactor 0101 mathematics gas-cooled reactor |
Zdroj: | EPJ Web of Conferences, Vol 247, p 06041 (2021) |
Popis: | The MPACT code, jointly developed by Oak Ridge National Laboratory and University of Michigan, is designed to perform high-fidelity light water reactor (LWR) analysis using wholecore pin-resolved neutron transport calculations on modern parallel-computing hardware. MPACT uses the subgroup method for resonance self-shielding, while the primary neutron transport solver uses a 2D/1D method that is based on the method of characteristics (MoC) for the x-y planes coupled with a 1D diffusion or transport solver in the axial dimension. Additional geometry capabilities are currently being developed in MPACT to support hexagonal-pitched lattices, as well as interstitial geometry (i.e., control rods at the corner of four adjacent pin cells). In this research, the MPACT method is tested on gas-cooled reactors by applying MPACT to full-core MAGNOX reactor test problems. MAGNOX test problems were chosen due to the availability of high-quality reactor design and validation data (available through an ongoing collaboration with the National Nuclear Laboratory in the United Kingdom) and the existence of a relatively complex axial power shape that is expected to challenge the MPACT method. MPACT’s convergence for partial- and full-core problems will be tested and verified. MPACT will be compared with high-fidelity continuous-energy Monte Carlo simulations to verify core reactivity, power distributions, and performance of the available cross section data libraries and energy group structures. |
Databáze: | OpenAIRE |
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