Published April 2022 | Version v1
Journal article

Estimation of reactor core water level using gamma distribution measured at multiple axial points outside reactor in severe accident scenarios employing interacting multiple model

  • 1. Accident Monitoring and Mitigation Research Team, Korea Atomic Energy Research Institute, South (Korea, Republic of)
  • 2. Autonomous Operation Research Team, Korea Atomic Energy Research Institute, South (Korea, Republic of)
  • 3. Nuclear Physics Application Research Division, Korea Atomic Energy Research Institute, South (Korea, Republic of)
  • 4. Department of Electronic Engineering, Jeju National University, South (Korea, Republic of)

Description

Highlights: • Gamma radiation is available irrespective of operating condition of reactor. • Measured gamma radiation outside reactor is affected by reactor core water level. • IMM with three model conditioned KF is used to estimate the axial radiation distribution. • Estimated radiation distribution is used to predict water level inside reactor core. • SA initiated by five cases are tested for Gamma radiation and water level estimation. The water level inside the core provides information about the reactor's safe operation. In severe accidents (SA), the water level information inside the reactor core may not be available as the conventional reactor devices for water level measurement are out of range. The gamma radiation collected from the detectors placed outside the reactor vessel is axially affected by the water level and fuel distribution present inside the core. This study predicts the water level in the core from the radiation distribution during events arising after the SA. An interacting multiple model (IMM) algorithm is used to determine the core water level by estimating the time-varying radiation distribution at multiple axial points. Numerical experiments using MELCOR code simulate the gamma radiation distribution in different SA scenarios. The results show that water level is estimated with reasonable accuracy using the proposed IMM method and helps diagnose and develop SA conditions measures.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.anucene.2021.108877

Additional details

Identifiers

DOI
10.1016/j.anucene.2021.108877;
PII
S0306454921007544;

Publishing Information

Journal Title
Annals of Nuclear Energy (Oxford)
Journal Volume
168
Journal Page Range
vp.
ISSN
0306-4549
CODEN
ANENDJ

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.