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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Format: | Article |
Language: | English |
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VINCA Institute of Nuclear Sciences
2020-01-01
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Series: | Nuclear Technology and Radiation Protection |
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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. |
first_indexed | 2024-12-14T21:19:54Z |
format | Article |
id | doaj.art-ae51fd9ad215474799e063df128bfbf5 |
institution | Directory Open Access Journal |
issn | 1451-3994 1452-8185 |
language | English |
last_indexed | 2024-12-14T21:19:54Z |
publishDate | 2020-01-01 |
publisher | VINCA Institute of Nuclear Sciences |
record_format | Article |
series | Nuclear Technology and Radiation Protection |
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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