New high-performance light water reactor core concept with mixed cycle length operation

2017 ◽  
Vol 42 (1) ◽  
pp. 53-67
Author(s):  
Eun Jeong ◽  
Jiwon Choe ◽  
Peng Zhang ◽  
Ho Cheol Shin ◽  
Deokjung Lee
1991 ◽  
Vol 96 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Junichi Yamashita ◽  
Akira Nishimura ◽  
Takaaki Mochida ◽  
Osamu Yokomizo

1977 ◽  
Vol 32 (3) ◽  
pp. 239-246 ◽  
Author(s):  
S. Nazaré ◽  
G. Ondracek ◽  
B. Schulz

1979 ◽  
Vol 46 (2) ◽  
pp. 255-262 ◽  
Author(s):  
Alfred Skokan ◽  
Helmut Holleck ◽  
Martin Peehs

2005 ◽  
Author(s):  
K. Takase ◽  
H. Yoshida ◽  
Y. Ose ◽  
H. Akimoto

In order to predict the water-vapor two-phase flow structure in a fuel bundle of an advanced light-water reactor, large-scale numerical simulations were carried out using a newly developed two-phase flow analysis method and a highly parallel-vector supercomputer. Conventional analysis methods such as subchannel codes need composition equations based on many experimental data. Therefore, it is difficult to obtain highly prediction accuracy on the thermal design of the advanced light-water reactor core if the experimental data are insufficient. Then, a new analysis method using the large-scale direct numerical simulation of water-vapor two-phase flow was proposed. The coalescence and fragmentation of small bubbles were investigated numerically and the bubbly flow dynamics in narrow fuel channels were clarified. Moreover, the liquid film flow inside a tight-lattice fuel bundle which is used to the advanced light-water reactor core was analyzed and the water and vapor distributions around fuel rods and a spacer were estimated quantitatively.


1978 ◽  
Vol 40 (3) ◽  
pp. 278-283 ◽  
Author(s):  
H. Albrecht ◽  
V. Matschoss ◽  
H. Wild

2021 ◽  
Vol 2048 (1) ◽  
pp. 012024
Author(s):  
H Ardiansyah ◽  
V Seker ◽  
T Downar ◽  
S Skutnik ◽  
W Wieselquist

Abstract The significant recent advances in computer speed and memory have made possible an increasing fidelity and accuracy in reactor core simulation with minimal increase in the computational burden. This has been important for modeling some of the smaller advanced reactor designs for which simplified approximations such as few groups homogenized diffusion theory are not as accurate as they were for large light water reactor cores. For narrow cylindrical cores with large surface to volume ratios such the Ped Bed Modular Reactor (PBMR), neutron leakage from the core can be significant, particularly with the harder neutron spectrum and longer mean free path than a light water reactor. In this paper the core from the OECD PBMR-400 benchmark was analyzed using multigroup Monte Carlo cross sections in the HTR reactor core simulation code AGREE. Homogenized cross sections were generated for each of the discrete regions of the AGREE model using a full core SERPENT Monte Carlo model. The cross sections were generated for a variety of group structures in AGREE to assess the importance of finer group discretization on the accuracy of the core eigenvalue and flux predictions compared to the SERPENT full core Monte Carlo solution. A significant increase in the accuracy was observed by increasing the number of energy groups, with as much as a 530 pcm improvement in the eigenvalue calculation when increasing the number of energy groups from 2 to 14. Significant improvements were also observed in the AGREE neutron flux distributions compared to the SERPENT full core calculation.


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