Accurate estimation of radioactive inventory is essential for nuclear power plant, since it effects on nuclide screening for clearance, disposal cost, collective dose and public exposure estimation. This paper describes contamination estimation method. Authors have developed contamination estimation method for PWR primary circuit and other systems. The method is based on the assumption that only particulates in the coolant are responsible for contamination and S. K. Beal's theory of particle deposition and erosion model. There are various contamination calculation conditions and some of them, such as failed fuel fraction, are difficult to determine with plant design data and thus measured data of radioactive waste generated from the existing plant is used for estimating fission products contamination. Contamination estimation results are in good agreement with the measured data. For the application of this method to the contamination density estimation for the PWR operational waste and for decommissioning, the improvement of estimation accuracy will be required by conducting further data accumulation regarding the plant operating data and accurate plant design parameters.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.