Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Use of MAAP in Generating Accident Source Term Parameters

  • Published : 1998.06.01
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Abstract

The parametric model method determines the accident source term which is Presented by a set of source term parameters. In this method, the cumulative distribution of each source term parameter should be derived for its uncertainty analysis. This paper introduces a method of generating the parameters in the form of cumulative distribution using MAAP version 4.0. In MAAP, there are model parameters which could incorporate uncertain physical and/or chemical phenomena. In general, the model parameters do not have a point value but a range. In this paper, considering that, the input values of model parameters influencing each parameter are sampled using LHS. Then, the computation results are shown in cumulative distribution form. For a case study, the CDFs of FCOR and WES of Kori Unit 1 are derived. The target scenarios for the computation are the ones whose initial events are large LOCA, small LOCA and transient, respectively. It is found that the computed CDF's in this study are consistent to those of NUREG-1150 and the use of MAAP is proven to be adequate in assessing the parameters of the severe accident source term.

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References

  1. NUREG-1150 v.1;2 Reassessment of the Technical Bases for Estimating Source Terms NRC
  2. KAERI/TR-449/94 A Study on Source Term Evaluation Methodology Using Parametric Approach KAERI
  3. NUREG/CR-4551 v.2 no.Rev. 1 Evaluation of Severe Accident Risks : Quantification of Major Input Parameters F.T. Harper(et al.)
  4. MAAP4- Modular Accident Program for LWR Power Plants v.1;4 EPRI
  5. NUREG/CR-3624 A FORTRAN 77 Program and User's Guide for the Generation of LATIN Hypercube and Random Samples for Use with Computer Models R.L. Iman(et al.)
  6. Final Safety Analysis Report Ko-Ri : Nuclear Power Plant Unit No.1 KEPCO
  7. Reviews of Modern Physics v.57 Report to the American Physical Society of the Study Group on Radionuclide Release from Severe Accidents at Nuclear Power Plants R. Wilson(et al.)