A contamination analysis of the primary coolant system with Monte Carlo simulations

•The main activation products in the primary coolant are estimated by the balance equations.•For the reliable analysis, the neutron flux is obtained from the 3D reactor modeling by MCNP6.•The estimated activity of Co-60 in the steam generator is compared with the measured data. In this paper, a cont...

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Bibliographic Details
Published in:	Annals of nuclear energy Vol. 142; p. 107386
Main Authors:	Park, Kwangsoo, Jang, Gyuho, Kong, Changsig, Sohn, Heedong, Park, Moon-Ghu, Park, Chang Je
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-07-2020
Subjects:	Activity Contamination analysis Monte Carlo Neutron activation Primary coolant system Activity Primary coolant system Contamination analysis Monte Carlo Neutron activation
Online Access:	Get full text
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Summary:	•The main activation products in the primary coolant are estimated by the balance equations.•For the reliable analysis, the neutron flux is obtained from the 3D reactor modeling by MCNP6.•The estimated activity of Co-60 in the steam generator is compared with the measured data. In this paper, a contamination analysis for the primary systems of the nuclear power plant has been carried out in order to prepare decommissioning plans in the near future in Korea. The main radioactive isotopic sources of the activation products in the primary coolant system are estimated by setting up the simple balance equations. The inputs of isotopic activation analysis in the primary coolant system are derived mainly from a typical PWR in Korea. For the reliable neutron activation analysis, the neutron flux distribution is obtained from the 3-dimensional reactor modeling by using the Monte Carlo code. Among various corrosion products, Co-60 contributes significantly to the radioactive contamination in the primary coolant. The activity of Co-60 in the steam generator is estimated from the modeling and is validated with the measured data.
ISSN:	0306-4549 1873-2100
DOI:	10.1016/j.anucene.2020.107386