Analysis of simplified BWR full core with serpent-2/simulate-3 hybrid stochastic/deterministic code
- 1. Department of Nuclear Engineering, Ulsan National Institute of Science and Technology, UNIST-gil 50, Ulsan (Korea, Republic of)
- 2. Paul Scherrer Institut, Nukleare Energie und Sicherheit, PSI Villigen 5232 (Switzerland)
Description
Highlights: •SERPENT-2 is evaluated as a tool to generate nuclear data libraries. •BWR model is used in comparison between CASMO-5 and SERPENT-2. •The effect of ADFs and diffusion coefficients definition is dominant. -- Abstract: This paper presents an evaluation of a Monte Carlo (MC) neutron transport code as a tool to generate nuclear cross section data for nuclear reactor core simulators. The goal is not to replace deterministic lattice calculations with MC simulations but to provide an audit tool. A boiling water reactor (BWR) assembly is modeled with a deterministic lattice physics code CASMO-5 and with a MC code SERPENT-2 for a simplified set of histories and branch cases. The work reported in this paper is a continuation of authors' previous analysis of a BWR in the reference 13 and SERPENT-2 is used instead of SERPENT-1 to overcome excessive memory usage and execution time of the latter. CASMO-5 and SERPENT-2 are compared with those of a hybrid CASMO-5 + SERPENT-2 scheme which uses the depletion solver of CASMO-5 and the transport solver of SERPENT-2. Their results are compared for an assembly model, in terms of k-inf, macroscopic cross sections, assembly discontinuity factors and diffusion coefficients. The differences are less than 1% except for diffusion coefficients of 5% difference. Subsequently, a nuclear cross section data library is generated for SIMULATE-3 core simulator. A full core depletion calculation is performed and k-eff, axial and radial power distributions are compared. The discrepancies of k-eff between CASMO-5/SIMULATE-3 and SERPENT-2/SIMULATE-3 are smaller than 250 pcm, and the differences of axial relative power fraction (RPF) root mean square errors are smaller than 8%. The differences of radial RPF root mean square errors are smaller than 1.5%.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.anucene.2017.08.061Additional details
Identifiers
- DOI
- 10.1016/j.anucene.2017.08.061;
- PII
- S0306-4549(16)30262-6;
Publishing Information
- Journal Title
- Annals of Nuclear Energy (Oxford)
- Journal Volume
- 111
- Journal Issue
- Complete
- Journal Page Range
- p. 141-151
- ISSN
- 0306-4549
- CODEN
- ANENDJ
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49045520
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- BWR TYPE REACTORS; CROSS SECTIONS; DIFFUSION; HYBRIDIZATION; MONTE CARLO METHOD; NUCLEAR DATA COLLECTIONS; POWER DISTRIBUTION; SIMULATION; STOCHASTIC PROCESSES; TOOLS
- Descriptors DEC
- CALCULATION METHODS; ENRICHED URANIUM REACTORS; EQUIPMENT; POWER REACTORS; REACTORS; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.