Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements
Paper i proceeding, 2021

In this work, a methodology is proposed for the comparison of the measured and simulated neutron noise signals in nuclear power plants, with the simulation sets having been generated by the CORE SIM+ diffusion-based reactor noise simulator. More specifically, the method relies on the computation of the Cross-Power Spectral Density of the detector signals and the subsequent comparison with their simulated counterparts, which involves specific frequency values corresponding to the signals’ high energy content. The different simulated perturbations considered are (i) axially traveling perturbations, (ii) fuel assembly vibrations, (iii) core barrel vibrations, and finally (iv) generic “absorber of variable strength” types. The reactor core used for the current study is a German 4-loop pre-Konvoi Pressurized Water Reactor.

core diagnostics

cross-power spectral density

neutron noise

perturbation identification

feature extraction

CORE SIM+

simulation

Författare

G. Ioannou

National Technical University of Athens (NTUA)

T. Tasakos

National Technical University of Athens (NTUA)

Antonios Mylonakis

Chalmers, Fysik, Subatomär, högenergi- och plasmafysik

G. Alexandridis

National Technical University of Athens (NTUA)

Christophe Demaziere

Chalmers, Fysik, Subatomär, högenergi- och plasmafysik

Paolo Vinai

Chalmers, Fysik, Subatomär, högenergi- och plasmafysik

A. Stafylopatis

National Technical University of Athens (NTUA)

Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021)

Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021)
Online, USA,

Core monitoring techniques and experimental validation and demonstration (CORTEX)

Europeiska kommissionen (EU) (754316CORTEX), 2017-09-01 -- 2021-08-31.

Styrkeområden

Energi

Ämneskategorier

Annan fysik

DOI

10.13182/M&C21-33674

Mer information

Senast uppdaterat

2021-10-19