Development a computer codes to couple PWR-GALE output and PC-CREAM input

Radionuclide dispersion analysis is part of an important reactor safety analysis. From the analysis it can be obtained the amount of doses received by radiation workers and communities around nuclear reactor. The radionuclide dispersion analysis under normal operating conditions is carried out using...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2018-02, Vol.962 (1), p.12041
Main Authors: Kuntjoro, S, Budi Setiawan, M, Nursinta Adi, W, Deswandri, Sunaryo, G R
Format: Article
Language:English
Subjects:
Coupling
Dispersion
Format
Nuclear reactors
Nuclear safety
Physics
Population
Population distribution
Pressurized water reactors
Programming languages
Radioisotopes
Reactor safety
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Radionuclide dispersion analysis is part of an important reactor safety analysis. From the analysis it can be obtained the amount of doses received by radiation workers and communities around nuclear reactor. The radionuclide dispersion analysis under normal operating conditions is carried out using the PC-CREAM code, and it requires input data such as source term and population distribution. Input data is derived from the output of another program that is PWR-GALE and written Population Distribution data in certain format. Compiling inputs for PC-CREAM programs manually requires high accuracy, as it involves large amounts of data in certain formats and often errors in compiling inputs manually. To minimize errors in input generation, than it is make coupling program for PWR-GALE and PC-CREAM programs and a program for writing population distribution according to the PC-CREAM input format. This work was conducted to create the coupling programming between PWR-GALE output and PC-CREAM input and programming to written population data in the required formats. Programming is done by using Python programming language which has advantages of multiplatform, object-oriented and interactive. The result of this work is software for coupling data of source term and written population distribution data. So that input to PC-CREAM program can be done easily and avoid formatting errors. Programming sourceterm coupling program PWR-GALE and PC-CREAM is completed, so that the creation of PC-CREAM inputs in souceterm and distribution data can be done easily and according to the desired format.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/962/1/012041