A computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategies

A computational methodology to estimate the capacity of aerosol particle retention in a filter- ing system based on sand bed is described in this work. This methodology uses a combination of computational fluid dynamics and mechanistic models in the calculation procedure. The methodology is...

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Main Authors: Cuevas-Vasquez Delfina, Sainz-Mejia Eduardo, Ortiz-Villafuerte Javier, Lopez-Solis Roberto
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2020-01-01
Series:Nuclear Technology and Radiation Protection
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/1451-3994/2020/1451-39942002087C.pdf
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author Cuevas-Vasquez Delfina
Sainz-Mejia Eduardo
Ortiz-Villafuerte Javier
Lopez-Solis Roberto
author_facet Cuevas-Vasquez Delfina
Sainz-Mejia Eduardo
Ortiz-Villafuerte Javier
Lopez-Solis Roberto
author_sort Cuevas-Vasquez Delfina
collection DOAJ
description A computational methodology to estimate the capacity of aerosol particle retention in a filter- ing system based on sand bed is described in this work. This methodology uses a combination of computational fluid dynamics and mechanistic models in the calculation procedure. The methodology is applied to venting actions during a severe accident in a BWR Mark II primary containment. The SALOME and OpenFoam platforms were used to generate the geometric and numerical models of a full scale model of a sand bed filtering system. The Eulerian/Lagrangian approach was used to determine the steady-state of a compressible turbulent flow through a porous media and to compute the aerosol particle transport, respectively. Collection efficiency was calculated by means of a mechanistic model based on the capture efficiency of a single grain. The obtained Eulerian results include velocity, pressure, and temperature fields inside the filtering systems. The Lagrangian tracking of aerosol particles showed that particles crossing the coarser sand tend to accumulate initially on the periphery of the filter. The parametric studies showed that mass-flows of up to 4.7 kgs–1 satisfy the constraint of 1.1 bar pressure drop across the sand depth. Additionally, the efficiency of 99.5 % of retention was determined for 1.0 μm aerosol particles in the 0.6 mm sand grain zone, for a gas velocity m of ms–1.
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spelling doaj.art-ae51fd9ad215474799e063df128bfbf52022-12-21T22:46:59ZengVINCA Institute of Nuclear SciencesNuclear Technology and Radiation Protection1451-39941452-81852020-01-01352879410.2298/NTRP2002087C1451-39942002087CA computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategiesCuevas-Vasquez Delfina0Sainz-Mejia Eduardo1Ortiz-Villafuerte Javier2Lopez-Solis Roberto3National Institute for Nuclear Research Carretera Mexico-Toluca, Ocoyoacac, Estado de Mexico, MexicoNational Institute for Nuclear Research Carretera Mexico-Toluca, Ocoyoacac, Estado de Mexico, MexicoNational Institute for Nuclear Research Carretera Mexico-Toluca, Ocoyoacac, Estado de Mexico, MexicoNational Institute for Nuclear Research Carretera Mexico-Toluca, Ocoyoacac, Estado de Mexico, MexicoA computational methodology to estimate the capacity of aerosol particle retention in a filter- ing system based on sand bed is described in this work. This methodology uses a combination of computational fluid dynamics and mechanistic models in the calculation procedure. The methodology is applied to venting actions during a severe accident in a BWR Mark II primary containment. The SALOME and OpenFoam platforms were used to generate the geometric and numerical models of a full scale model of a sand bed filtering system. The Eulerian/Lagrangian approach was used to determine the steady-state of a compressible turbulent flow through a porous media and to compute the aerosol particle transport, respectively. Collection efficiency was calculated by means of a mechanistic model based on the capture efficiency of a single grain. The obtained Eulerian results include velocity, pressure, and temperature fields inside the filtering systems. The Lagrangian tracking of aerosol particles showed that particles crossing the coarser sand tend to accumulate initially on the periphery of the filter. The parametric studies showed that mass-flows of up to 4.7 kgs–1 satisfy the constraint of 1.1 bar pressure drop across the sand depth. Additionally, the efficiency of 99.5 % of retention was determined for 1.0 μm aerosol particles in the 0.6 mm sand grain zone, for a gas velocity m of ms–1.http://www.doiserbia.nb.rs/img/doi/1451-3994/2020/1451-39942002087C.pdfmark iisevere accidentopenfoamsalomeaerosolfiltering systemefficiency
spellingShingle Cuevas-Vasquez Delfina
Sainz-Mejia Eduardo
Ortiz-Villafuerte Javier
Lopez-Solis Roberto
A computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategies
Nuclear Technology and Radiation Protection
mark ii
severe accident
openfoam
salome
aerosol
filtering system
efficiency
title A computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategies
title_full A computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategies
title_fullStr A computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategies
title_full_unstemmed A computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategies
title_short A computational methodology for estimation of aerosol retention in a sand-bed based filtering system for severe accident venting strategies
title_sort computational methodology for estimation of aerosol retention in a sand bed based filtering system for severe accident venting strategies
topic mark ii
severe accident
openfoam
salome
aerosol
filtering system
efficiency
url http://www.doiserbia.nb.rs/img/doi/1451-3994/2020/1451-39942002087C.pdf
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