Journal of Nuclear Fuel Cycle and Waste Technology 2004;2(1):41-51. Published online: Mar, 30, 2004
The cost-effective reduction of occupationa1 radiation dose (ORD) at a nuclear power plant could not be achieved without going through an extensive analysis of accumulated ORD data of existing plants. Through the data ana1ysis, it is required to identify what are the jobs of repetitive high ORD at the nuclear power plant. In this study, Percentile Rank Sum Method (PRSM) is proposed to identify repetitive high ORD jobs, which is based on non-parametric statistical theory. As a case study, the method is applied to ORD data of maintenance and repair jobs at Kori units 3 and 4 that are pressurized water reactors with 950 MWe capacity and have been operated since 1986 and 1987, respectively in Korea. The results was verified and va1idated, and PRSM has been demonstrated to be an efficient method of analyzing the data.
Keywords
Occupational radiation dose,ALARA,Non-parametric statistica1 method