A lumped parameter modelling of particle generation from Na-pool fires in SFR containments

Herranz, Luis E. and García Martín, Mónica and Kissane, Martin P. and Spengler, Claus (2018). A lumped parameter modelling of particle generation from Na-pool fires in SFR containments. "Progress in Nuclear Energy", v. 109 ; pp. 223-232. ISSN 0149-1970. https://doi.org/10.1016/j.pnucene.2018.08.015.

Description

Title: A lumped parameter modelling of particle generation from Na-pool fires in SFR containments
Author/s:
  • Herranz, Luis E.
  • García Martín, Mónica
  • Kissane, Martin P.
  • Spengler, Claus
Item Type: Article
Título de Revista/Publicación: Progress in Nuclear Energy
Date: November 2018
ISSN: 0149-1970
Volume: 109
Subjects:
Freetext Keywords: Sodium-cooled fast reactor; In-containment source term; Sodium-pool fire; Particle generation model; Correlations
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Energética
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Modelling of sodium-evaporation and formation of sodium-oxide aerosols from a sodium-pool fire is of fundamental importance for the assessing of the radiological consequences in Sodium-cooled Fast Reactors severe accidents. This paper summarizes the derivation of a simple model to estimate the amount and size of particles being generated from Na-pool fires and its performance assessment, once implemented in an integral severe accident tool (ASTEC-Na), against available large-scale separate effect tests. The model has been transposed in analytical correlations which implementation in lumped-parameter severe accident codes is straightforward. According to the comparisons to data set, the correlations do not adversely impact the code estimates with respect to other more empirical alternative approaches and, in addition, the correlations remove any need of user-defined ad-hoc parameters in the input deck concerning Na-based particles behaviour, as other alternates do. Regarding code behaviour, the model predictions yield the same order of magnitude both in terms of suspended aerosol concentration and diameter as data and capture the reliable measured data trends.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7295803JASMINInstitut de radioprotection et de surete nucleaireJoint Advanced Severe accidents Modelling and Integration for Na-cooled fast neutron reactors

More information

Item ID: 52121
DC Identifier: http://oa.upm.es/52121/
OAI Identifier: oai:oa.upm.es:52121
DOI: 10.1016/j.pnucene.2018.08.015
Official URL: https://www.sciencedirect.com/science/article/pii/S0149197018302117?via%3Dihub
Deposited by: Memoria Investigacion
Deposited on: 25 Sep 2018 15:49
Last Modified: 25 Sep 2018 15:49
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