CFD Code Validation on NACIE-UP Rod Bundle: Review on Numerical Methods and Results
摘要
The NAtural Circulation Experiment-Upgrade (NACIE-UP) facility is located at the ENEA Brasimone Research Centre (Italy). It facilitates a 19-pin wire-wrapped rod bundle and a heat exchanger, connecting by two horizontal and vertical pipes, aiming to investigate the heat transfer capability of LBE during forced and natural circulation. The IAEA proposes a Coordinated Research Project (CRP) ‘Benchmark of Transition from Forced to Natural Circulation Experiment with Heavy Liquid Metal Loop (NACIE)-CRP-I31038’ based on the NACIE-UP experimental data, to validate the System Thermal–hydraulic code, CFD code and sub-channel code. In the benchmark study, two open phase cases ADP10 and ADP06 and a ‘blind’ phase case ADP07 are used as the benchmark matrices. In one of the work packages, it focuses on validating the CFD code and providing a modelling strategy. This paper concludes the turbulent and thermal models, and CFD analysis tools and methods used by 10 organizations who participate in this work package. ANSYS Fluent, STAR-CCM+, OpenFOAM and ANSYS CFX are applied to analyze the heat transfer characteristics. For turbulent Prandtl number, constant number, Cheng&Tak correlation and Kay’s correlation are employed. Besides, SST k–w and RANS k–e models are commonly used. There are also some differences on geometry and mesh models, resulting in different simulation results. Xi’an Jiaotong University also participates in this CRP. ANSYS Fluent is used as the solver, Cheng&Tak correlation and SST k–w model are also selected. The comparison between experimental data and simulation results shows that most organizations have great prediction on temperature distribution for ADP10 and ADP06, but several discrepancies on ADP07 due to its non-uniformly heated property. All the models, simulation results and errors are presented in the paper. The comparisons and conclusions on these organizations’ results can help further improve the CFD models and methods in predicting these kinds of cases, and detailed strategies can be followed. It’s also valuable for researchers who are devoted to investigating the thermal–hydraulic characteristics of LBE.