Coupling of MELCOR with surrogate model for quench estimation of conical debris beds

• The developed SM captures the quench time of a two-dimensional conical debris bed similarly but much quicker than COCOMO does. • A MELCOR/SM interface for quench estimation of conical debris beds is designed and applied to a SBO scenario in a Nordic BWR. • Coupled MELCOR/SM can predict similar containment pressure and water temperature change trend as coupled MELCOR/COCOMO. • Sensitivity analysis show that porosity has a major influence on the quench time of a conical debris bed. • Coupling of MELCOR with the developed SM extends MELCOR capability for quick quench estimation of conical debris beds. The MELCOR code as a severe accident simulation tool does not have the capability to capture the quench process of a debris bed which may form in the wet cavity during a severe accident of light water reactors (LWRs). Although the coupled MELCOR/COCOMO simulation could overcome the limitation (Chen et al., 2022), the calculation time was explosively escalated due to mechanistic modeling of debris bed thermal-hydraulics in COCOMO. To suppress the computational cost, a surrogate model (SM) was developed in our previous study (Wang et al., 2023), and its coupling with MELCOR could realize a quick estimation of the quench process of one-dimensional debris beds. The present study is an extension of the previous work, aiming at the development of a new surrogate model for the quench process of two-dimensional conical debris beds. The new surrogate model (SM) was based on artificial neural networks (ANNs) and trained by the database from COCOMO calculations of various conical debris beds quenched in the reactor cavity of a Nordic boiling water reactor (BWR). The MELCOR was then coupled with the new SM to simulate a postulated station blackout (SBO) scenario in the BWR. The results show that the coupled MELCOR/SM simulation could provide similar ex-vessel debris bed quench period and containment pressure/temperature trends as the coupled MELCOR/COCOMO. Compared with the MELCOR standalone calculation, the coupled calculations predicted earlier points of time for water pool saturation and containment venting, since the heat transfer from conical debris bed to water pool is faster in the coupled simulations.

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Publication Details

Journal
Annals of Nuclear Energy
Published
2024-09-23
DOI
https://doi.org/10.1016/j.anucene.2024.110933
Citations
1
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.34

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article

Coupling of MELCOR with surrogate model for quench estimation of conical debris beds

Weimin Ma, Wanhong Wang
1 citations
Annals of Nuclear Energy
Geophysical Methods and Applications
0.34
article

Coupling of MELCOR with surrogate model for quench estimation of conical debris beds

Weimin Ma, Wanhong Wang
article en
1 citations

Abstract

• The developed SM captures the quench time of a two-dimensional conical debris bed similarly but much quicker than COCOMO does. • A MELCOR/SM interface for quench estimation of conical debris beds is designed and applied to a SBO scenario in a Nordic BWR. • Coupled MELCOR/SM can predict similar containment pressure and water temperature change trend as coupled MELCOR/COCOMO. • Sensitivity analysis show that porosity has a major influence on the quench time of a conical debris bed. • Coupling of MELCOR with the developed SM extends MELCOR capability for quick quench estimation of conical debris beds. The MELCOR code as a severe accident simulation tool does not have the capability to capture the quench process of a debris bed which may form in the wet cavity during a severe accident of light water reactors (LWRs). Although the coupled MELCOR/COCOMO simulation could overcome the limitation (Chen et al., 2022), the calculation time was explosively escalated due to mechanistic modeling of debris bed thermal-hydraulics in COCOMO. To suppress the computational cost, a surrogate model (SM) was developed in our previous study (Wang et al., 2023), and its coupling with MELCOR could realize a quick estimation of the quench process of one-dimensional debris beds. The present study is an extension of the previous work, aiming at the development of a new surrogate model for the quench process of two-dimensional conical debris beds. The new surrogate model (SM) was based on artificial neural networks (ANNs) and trained by the database from COCOMO calculations of various conical debris beds quenched in the reactor cavity of a Nordic boiling water reactor (BWR). The MELCOR was then coupled with the new SM to simulate a postulated station blackout (SBO) scenario in the BWR. The results show that the coupled MELCOR/SM simulation could provide similar ex-vessel debris bed quench period and containment pressure/temperature trends as the coupled MELCOR/COCOMO. Compared with the MELCOR standalone calculation, the coupled calculations predicted earlier points of time for water pool saturation and containment venting, since the heat transfer from conical debris bed to water pool is faster in the coupled simulations.

Annals of Nuclear EnergyVol. 211
KTH Royal Institute of Technology (SE)
China Scholarship Council, Swiss Society for Microbiology, Eidgenössisches Nuklearsicherheitsinspektorat, Strålsäkerhetsmyndigheten, Alberta Prion Research Institute
Openalex Percentile: Top 41%
Geophysical Methods and Applications
0.34
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