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Modeling of gap conductance for LWR fuel rods applied in the BISON code

Aysenur Toptan, Jason Hales, R.L. Williamson, Stephen Novascone, Giovanni Pastore, Dave Kropaczek

2020Journal of Nuclear Science and Technology20 citationsDOIOpen Access PDF

Abstract

A new gap conductance model is proposed in this study as a combination of Toptan’s model and the Ross-Stoute model. A variance-based sensitivity analysis is performed to understand how simulation results depend on all input parameters of the proposed model. Additionally, new modeling options (e.g. fill gas thermal conductivity, temperature jump distance, thermal accommodation coefficient, etc.) are added into the nuclear fuel performance code, BISON. The need for further investigation of the gap heat transfer between fuel and cladding in BISON motivated this study to evaluate its impact on the code’s predictions. New gap conductance modeling is proposed. A series of integral-effects validation tests is performed: (1) to demonstrate the impact of the proposed model on the code’s fuel temperature predictions at the beginning of life and through the reactor’s life; (2) to ensure that the proposed model is capable of accurately modeling gap heat transfer characteristics in real-world problems; and (3) to investigate the impact of the estimation of fission gas release on the fuel temperature predictions with the proposed model. Overall, the results indicate that the proposed gap conductance model improves BISON’s predictions.

Topics & Concepts

Nuclear engineeringFissionSensitivity (control systems)Heat transferCladding (metalworking)Thermal conductivityRodMechanicsEnvironmental scienceMaterials scienceThermodynamicsComputer sciencePhysicsEngineeringNuclear physicsElectronic engineeringNeutronPathologyAlternative medicineMetallurgyMedicineNuclear reactor physics and engineeringNuclear Materials and PropertiesProbabilistic and Robust Engineering Design
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