PARCS pin-wise simulation with a cross section correction system based on the Super-Homogenisation method

• Development and validation of a cross-section correction system for pin-wise simulations of deterministic neutronic codes. • Expansion of PARCS pin-level simulation with nodal solvers. • Foundational work to establish neutronic-thermal-hydraulic multi-physics system for high-fidelity, pin-wise safety analysis. A cross-section (XS) correction system was developed at the Karlsruhe Institute of Technology (KIT) for pin-wise simulations in PARCS, utilizing the SuPer-Homogenization (SPH) method in an iterative Python-based framework. The system uses Monte Carlo Serpent2 pin-wise solutions as a reference to correct homogenized pin-wise XS, improving PARCS’ accuracy in predicting neutron reaction rates and pin-wise power distributions. Verification was conducted with four test cases of increasing complexity: (a) a 3x3 mini assembly, (b) KONVOI reactor fuel assemblies, (c) a 3x3 mini-core, and (d) the Karlsruhe Small Modular Reactor (KSMR). Results show that the corrected XS significantly enhances PARCS’ diffusion solver accuracy, closely matching Serpent2 results, in pin-by-pin core simulations. Notably, this approach outperforms traditional assembly-wise Pin Power Reconstruction (PPR), particularly in central core regions. The key outcome of this work is that, for PARCS pin-wise simulations, computational accuracy is enhanced, making the prediction of local safety parameters feasible, especially if coupled with a Thermal-Hydraulic (TH) code, such as a sub-channel code. Furthermore, this work extends PARCS’s capability to perform pin-wise simulations with the standard nodal solver.

Institutions

Publication Details

Journal
Nuclear Engineering and Design
Published
2025-10-08
DOI
https://doi.org/10.1016/j.nucengdes.2025.114515
Citations
1
Primary Topic
Bryophyte Studies and Records
Type
article
Field-Weighted Citation Impact
3.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PARCS pin-wise simulation with a cross section correction system based on the Super-Homogenisation method

1 citations
Nuclear Engineering and Design
Bryophyte Studies and Records
3.03
article

PARCS pin-wise simulation with a cross section correction system based on the Super-Homogenisation method

article en
1 citations

Abstract

• Development and validation of a cross-section correction system for pin-wise simulations of deterministic neutronic codes. • Expansion of PARCS pin-level simulation with nodal solvers. • Foundational work to establish neutronic-thermal-hydraulic multi-physics system for high-fidelity, pin-wise safety analysis. A cross-section (XS) correction system was developed at the Karlsruhe Institute of Technology (KIT) for pin-wise simulations in PARCS, utilizing the SuPer-Homogenization (SPH) method in an iterative Python-based framework. The system uses Monte Carlo Serpent2 pin-wise solutions as a reference to correct homogenized pin-wise XS, improving PARCS’ accuracy in predicting neutron reaction rates and pin-wise power distributions. Verification was conducted with four test cases of increasing complexity: (a) a 3x3 mini assembly, (b) KONVOI reactor fuel assemblies, (c) a 3x3 mini-core, and (d) the Karlsruhe Small Modular Reactor (KSMR). Results show that the corrected XS significantly enhances PARCS’ diffusion solver accuracy, closely matching Serpent2 results, in pin-by-pin core simulations. Notably, this approach outperforms traditional assembly-wise Pin Power Reconstruction (PPR), particularly in central core regions. The key outcome of this work is that, for PARCS pin-wise simulations, computational accuracy is enhanced, making the prediction of local safety parameters feasible, especially if coupled with a Thermal-Hydraulic (TH) code, such as a sub-channel code. Furthermore, this work extends PARCS’s capability to perform pin-wise simulations with the standard nodal solver.

Nuclear Engineering and DesignVol. 445
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 7%
Bryophyte Studies and Records
3.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.