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Data · dataset · 2021

Data for: Numerical study on the uncertainty reduction for thermal power estimation of an open pool research reactor with natural convection core cooling

Listed in Teesside University Research Data Repository

In this study, the calorimetric method is used to study the thermal power estimation in an open pool research reactor during power operation under natural convection core cooling.

Description

The pool temperature measuring points are used as a key factor to minimize the uncertainty of the thermal power of the research reactor. The Computational Fluid Dynamics (CFD) technique is used to analyze the natural convection flow pattern in the reactor pool.

The results show how the natural convection flow pattern influences the uncertainty of the thermal power estimation in terms of the flow stabilization and how the optimal temperature measuring point can be chosen. This paper shows that an appropriate thermal power estimation with a low uncertainty can be obtained based on the temperature measurement in the lower section of the reactor pool with the proper time criteria in view of the temperature propagation.

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Provenance · 1 source records, 9 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/zk3x9x88fb.216 h agoJSON v1
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concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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