Skip to main navigation Skip to search Skip to main content

Importance Analyses on Phenomenological Parameters for the Aerosol Dynamics Models in I-COSTA for a Severe Nuclear Power Plant Accident

Research output: Contribution to journalJournal articlepeer-review

Abstract

In this study, using in-house code I-COSTA, importance analyses are performed on the phenomenological parameters in the aerosol dynamics using International Standard Problem No. 44. The analyses consider twelve parameters used in multicomponent sectional equations and Mason equations. For the first step of the analysis, Latin hypercube sampling is performed for the aforementioned parameters, and the number of samplings is determined using a comparison of averages and standard deviations between those samplings and the ones gathered from continuous distributions of the parameters. Sensitivity analyses are then performed on the airborne concentrations of the aerosol particles using I-COSTA, and the results are used to obtain the correlation coefficients between the parameters and the airborne concentrations. From the analyses, the dynamic shape factor, which accounts for the drag force of the non-spherical aerosol particles, is found to be one of the most important parameters in the aerosol dynamics. The saturation ratio in the Mason equation is also found to be an important parameter for aerosol particles with high solubility since the mass of the aforementioned particles is sensitive to the hygroscopic growth rate.

Original languageEnglish
Article number1935
JournalProcesses
Volume13
Issue number6
DOIs
StatePublished - 2025.06

Keywords

  • I-COSTA
  • aerosol dynamics
  • correlation coefficient
  • importance of the phenomenological parameters

Quacquarelli Symonds(QS) Subject Topics

  • Engineering - Petroleum
  • Engineering - Chemical

Fingerprint

Dive into the research topics of 'Importance Analyses on Phenomenological Parameters for the Aerosol Dynamics Models in I-COSTA for a Severe Nuclear Power Plant Accident'. Together they form a unique fingerprint.

Cite this