25-Pin metallic fuel performance benchmark case based on the EBR-II X430 experiments series

JOURNAL OF NUCLEAR MATERIALS

卷:556

Article

Greenquist, Ian¹  Powers, Jeffrey J.¹ 

[1] Oak Ridge Natl Lab, Nucl Energy & Fuel Cycle Div, Oak Ridge, TN 37831 USA

关键词: BISON;    EBR-II;    Fast reactor;    Metallic fuel;    Fuel performance;    X430introduction;   

DOI  :  10.1016/j.jnucmat.2021.153211

来源: Elsevier

【 摘 要 】

A metallic fuel benchmark case was developed for the fuel performance code BISON based on 25 uranium-zirconium and uranium-plutonium-zirconium pins of the Experimental Breeder Reactor II X430 experiment series. Results of the benchmarks were compared with measurements and calculations made at the time of the experiment as well as subsequent measurements reported in 2019. The comparisons were used to quantify the accuracy of the BISON predictions and to identify patterns in the BISON differences. BISON predicted burnup, plenum pressure, and fission gas release fractions accurately. BISON temperature predictions were somewhat cooler than the temperatures determined at the time of the experiment but appeared to be reasonably accurate considering uncertainties in the legacy temperature calculations, uncertainties in the legacy linear heat rate calculations, and the high sensitivities of the BISON-predicted temperatures to BISON inputs. Fuel axial elongation predictions had errors correlated to fuel composition; BISON tended to underpredict the elongation of binary fuels and overpredict the elongation of ternary fuels. BISON cladding radial dilation predictions were also significantly lower than legacy PIE measurements. Recommendations were made to improve the BISON fuel gaseous swelling model to account for fuel composition, to add additional capabilities to the coolant channel temperature model to ease benchmark development, and to continue developing benchmark cases based on a wide range of experiments in several reactors. Once a wide array of benchmarks is developed, an attempt can be made to enhance or calibrate BISON models to improve the cladding dilation predictions. (c) 2021 Elsevier B.V. All rights reserved.

【 授权许可】

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