PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe

Authors

  • Pande Made Udiyani Pusat Teknologi dan Keselamatan Reaktor Nuklir, BATAN
  • Sri Kuntjoro Pusat Teknologi dan Keselamatan Reaktor Nuklir, BATAN

DOI:

https://doi.org/10.17146/tdm.2015.17.3.2326

Keywords:

accident impact,, PWR 1000 MWe, probabilistic, atmospheric, PC-Cosyma

Abstract

THE INFLUENCE OF ATMOSPHERIC CONDITIONS TO PROBABILISTIC CALCULATION OF IMPACT OF RADIOLOGY ACCIDENT ON PWR-1000MWe. The calculation of the radiological impact of the fission products releases due to potential accidents that may occur in the PWR (Pressurized Water Reactor) is required in a  probabilistic. The atmospheric conditions greatly contribute to the dispersion of radionuclides in the environment, so that in this study will be analyzed the influence of atmospheric conditions on probabilistic calculation of the reactor accidents consequences. The objective of this study is to conduct an analysis of the influence of atmospheric conditions based on meteorological input data models on the radiological consequences of PWR-1000MWe accidents. Simulations using PC-Cosyma code with probabilistic calculations mode, the meteorological data input executed cyclic and stratified, the meteorological input data are executed in the cyclic and stratified, and simulated in Muria Peninsula and Serang Coastal. Meteorological data were taken every hour for the duration of the year. The result showed that the cumulative frequency for the same input models for Serang coastal is higher than the Muria Peninsula. For the same site, cumulative frequency on cyclic input models is higher than stratified models. The cyclic models provide flexibility in determining the level of accuracy of calculations and do not require reference data compared to stratified models. The use of cyclic and stratified models involving large amounts of data and calculation repetition will improve the accuracy of statistical calculation values.

 

References

Jones J A., et al, Probabilistic accident consequence uncertainty assessments using COSYMA: Methodology and processing techniques. EUR 18827 and FZKA 6313; 2000.

Prasad M. H., et al, Level-1, -2 and -3 PSA for AHWR. Nuclear Engineering and Design 2011; 241: 3256- 3269

https://doi.org/10.1016/j.nucengdes.2011.05.022

Udiyani P.M., Kuntjoro S., Tjahyani DTS, PSA Level 3 dan implementasinya pada kajian keselamatan PWR. J. Tek. Reaktor Nukl. 2014;16 (1): 31-43

Simon-Cornu, M., et al, Evaluating variability and uncertainty in radiological impact assessment using SYMBIOSE. Journal of Environmental Radioactivity 2015; 139: 91-102

https://doi.org/10.1016/j.jenvrad.2014.09.014

Rolph G.D., Ngan F., Draxler R.R, Modeling the fallout from stabilized nuclear clouds using the HYSPLIT atmospheric dispersion model. Journal of Environmental Radioactivity 2014; 136: 41-55

https://doi.org/10.1016/j.jenvrad.2014.05.006

Udiyani P.M., Widodo S., Penentuan koefisien dispersi atmosferik untuk analisis kecelakaan reaktor PWR di Indonesia, J. Tek. Reaktor Nukl. 2012; 14 (2): 121-132

Furlan C., et al, The role of clouds in improving the regression model for hourly values of diffuse solar radiation. Applied Energy 2012; 92: 240-254

https://doi.org/10.1016/j.apenergy.2011.10.032

Zhao Y., Zhang L., Tong J., Development of rapid atmospheric source term estimation system for AP1000 nuclear power plant. Progress in Nuclear Energy 2015: 81: 264-275

https://doi.org/10.1016/j.pnucene.2015.02.008

Hyojoon J., et al, Radiological dose assessments according to dilution characteristics of radioactive materials in nuclear sites. Annals of Nuclear Energy 2014; 3: 261-267

https://doi.org/10.1016/j.anucene.2013.07.051

Cao J.Z., et al, Adaptation of COSYMA and assessment of accident consequences for Daya Bay nuclear power plant in China. Journal of Environmental Radioactivity 2000; 48: 265-277

https://doi.org/10.1016/S0265-931X(99)00077-6

Varun H.C., Kumar S., Velusamy K., Probabilistic safety assessment of multi-unit nuclear power plant sites- An integrated approach. Journal of Loss Prevention in the Process Industries 2014;32: 52-62

https://doi.org/10.1016/j.jlp.2014.07.013

Tracy B.L. et al, The sensitivity of different environments to radioactive contamination. Journal of Environmental Radioactivity 2013; 122: 1-8

https://doi.org/10.1016/j.jenvrad.2013.02.015

Vandenhove H., et al, Predicting the environmental risks of radioactive discharges from Belgian nuclear power plants. Journal of Environmental Radioactivity 2013;126: 61-76

https://doi.org/10.1016/j.jenvrad.2013.07.004

Downloads

Published

2015-12-18

How to Cite

Udiyani, P. M., & Kuntjoro, S. (2015). PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe. Jurnal Teknologi Reaktor Nuklir Tri Dasa Mega, 17(3), 149–158. https://doi.org/10.17146/tdm.2015.17.3.2326