A spatially auto-corrected reactimeter algorithm

doi:10.1016/j.pnucene.2023.104912

A spatially auto-corrected reactimeter algorithm

2023-11-01

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DOI：10.1016/j.pnucene.2023.104912

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Reactimeter algorithms enable real-time evaluation of the reactivity of a near-critical reactor from the signal of a neutron detector. They only depend on a few parameters defined by the inverse point kinetic equations, and which can be calculated by most neutron transport codes. However, the neutron population measured locally by a detector may not always lead to a good estimate of the reactivity. For example, this would be the case for an in-core detector placed just next to a moving control rod. In such special cases - or when measurement precision is an issue - costly simulations are needed to provide correction factors that account for variations in the spatial distribution of the neutron flux. This paper aims to provide an auto-corrected reactimeter algorithm (ACRA) in the special cases where rapid perturbations are applied to a core close to criticality. Such perturbations were successfully performed in the MINERVE reactor using a dedicated control rod to alternatively insert and withdraw a small sample of material under study. ACRA has been validated against 3D Monte Carlo neutron transport calculations using the signals of four in-core detectors located just next to the moving sample.

Keyword:

Reactimeter

Spatial correction

Flux shape deformation

Kinetics

Oscillations

A spatially auto-corrected reactimeter algorithm

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