Abstract

The concentration of boron in the coolant of reactor cooling system in nuclear power plants(NPPs) plays an important role in controlling the reactivity according to fuel burn-up. Thus, an accurate prediction of the boron concentration after an unexpected de-borated water injection is required for the safety of NPPs. Korea Atomic Energy Research Institute(KAERI) participates in the ROCOM boron dilution benchmark in a framework of IAEA coordinated research projects. Through the benchmark, the capability of the CUPID code to predict the boron mixing behavior was validated. Two-equations RANS turbulence models were tested such as the standard k-ε model, RNG k-ε model, and SST k-ω model. The calculation results showed that the standard k-ε model reasonably predicted the boron mixing behavior when appropriate y+ values were verified even though the k-ε model required less number of cells comparing to the SST k-ω model because of larger y+ values.

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