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Solutions to NEANSC benchmark problems on `Power Distribution within Assemblies (PDWA)` using the SRAC and GMVP

Technical Report:

Abstract

An advancement or variety of PWR cores by introducing MOX fuel, burnable poison and so on, increases a heterogeneity in a core or an assembly. For the evaluation of the pin power distribution, the fine mesh flux reconstruction is required with the combination of an assembly calculation and a three dimensional core calculation with coarse mesh, instead of the combination of a two dimensional X-Y core calculation with fine mesh and a one dimensional axial core calculation for the conventional PWR core. The main purpose of the NEANSC benchmark problems entitled `Power Distribution within Assemblies` is to compare the technique of the fine mesh flux reconstruction based on coarse mesh core calculation. In this report, we examine the validity of the reconstruction technique based on the coarse mesh core calculation using the Spline function, assembly calculation and heterogeneous fine mesh core calculation by built-in programs in the SRAC code using the groupwise Monte Carlo calculation with the GMVP code as reference. (author).
Authors:
Kugo, Teruhiko; Nakagawa, Masayuki; Tsuchihashi, Keiichiro [1] 
  1. Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment
Publication Date:
Aug 01, 1992
Product Type:
Technical Report
Report Number:
JAERI-M-92-117
Reference Number:
SCA: 210200; PA: JPN-92:012161; SN: 93000919863
Resource Relation:
Other Information: PBD: Aug 1992
Subject:
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; REACTOR CORES; PWR TYPE REACTORS; POWER DISTRIBUTION; MIXED OXIDE FUELS; BURNABLE POISONS; HETEROGENEOUS EFFECTS; BENCHMARKS; NEUTRON FLUX; SPLINE FUNCTIONS; MULTIPLICATION FACTORS; FUEL ASSEMBLIES; REACTOR CELLS; NEUTRON DIFFUSION EQUATION; NEUTRON TRANSPORT; 210200; POWER REACTORS, NONBREEDING, LIGHT-WATER MODERATED, NONBOILING WATER COOLED
OSTI ID:
10112603
Research Organizations:
Japan Atomic Energy Research Inst., Tokyo (Japan)
Country of Origin:
Japan
Language:
Japanese
Other Identifying Numbers:
Other: ON: DE93754296; TRN: JP9212161
Availability:
OSTI; NTIS; INIS
Submitting Site:
JPN
Size:
75 p.
Announcement Date:
Jun 30, 2005

Technical Report:

Citation Formats

Kugo, Teruhiko, Nakagawa, Masayuki, and Tsuchihashi, Keiichiro. Solutions to NEANSC benchmark problems on `Power Distribution within Assemblies (PDWA)` using the SRAC and GMVP. Japan: N. p., 1992. Web.
Kugo, Teruhiko, Nakagawa, Masayuki, & Tsuchihashi, Keiichiro. Solutions to NEANSC benchmark problems on `Power Distribution within Assemblies (PDWA)` using the SRAC and GMVP. Japan.
Kugo, Teruhiko, Nakagawa, Masayuki, and Tsuchihashi, Keiichiro. 1992. "Solutions to NEANSC benchmark problems on `Power Distribution within Assemblies (PDWA)` using the SRAC and GMVP." Japan.
@misc{etde_10112603,
title = {Solutions to NEANSC benchmark problems on `Power Distribution within Assemblies (PDWA)` using the SRAC and GMVP}
author = {Kugo, Teruhiko, Nakagawa, Masayuki, and Tsuchihashi, Keiichiro}
abstractNote = {An advancement or variety of PWR cores by introducing MOX fuel, burnable poison and so on, increases a heterogeneity in a core or an assembly. For the evaluation of the pin power distribution, the fine mesh flux reconstruction is required with the combination of an assembly calculation and a three dimensional core calculation with coarse mesh, instead of the combination of a two dimensional X-Y core calculation with fine mesh and a one dimensional axial core calculation for the conventional PWR core. The main purpose of the NEANSC benchmark problems entitled `Power Distribution within Assemblies` is to compare the technique of the fine mesh flux reconstruction based on coarse mesh core calculation. In this report, we examine the validity of the reconstruction technique based on the coarse mesh core calculation using the Spline function, assembly calculation and heterogeneous fine mesh core calculation by built-in programs in the SRAC code using the groupwise Monte Carlo calculation with the GMVP code as reference. (author).}
place = {Japan}
year = {1992}
month = {Aug}
}