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Uncertainty and sensitivity analysis of a phenomenological dryout model implemented in DARIA system code
Natl Ctr Nucl Res NCBJ, A Soltana 7, PL-05400 Otwock, Poland.;Warsaw Univ Technol, Inst Heat Engn, Nowowiejska 21-25, PL-00665 Warsaw, Poland..
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Engineering.ORCID iD: 0000-0001-5595-1952
Asea Brown Boveri, Starowislna 13A, PL-31038 Krakow, Poland..
2019 (English)In: Nuclear Engineering and Design, ISSN 0029-5493, E-ISSN 1872-759X, Vol. 355, article id UNSP 110281Article in journal (Refereed) Published
Abstract [en]

Uncertainties of numerical predictions play important role in assessment of safety margins in nuclear reactors. In this paper uncertainties of the predictions of the Hewitt-Govan model, which is used to determine the entrainment and deposition rates in phenomenological dryout model, are presented and discussed. Results of the global uncertainty analysis are shown in terms of trends of uncertainty values with respect to the pressure, mass flux and inlet subcooling. Regions of large and small uncertainties are identified and presented in a tabular form. Application of the global sensitivity analysis methods allowed to quantify the sources of uncertainties with high accuracy over large spectrum of experimental conditions. Since the present analysis required calculation of millions of cases, a dedicated fast-running three-field computational code called DARIA has been developed for that purpose. The analysis revealed that the uncertainties of dryout prediction are predominantly resulting from uncertainties of the coolant mass flow rate. The most obvious implication of the presented work is that, when applying the current methodology to predict dryout in rod bundles, the most important parameter, affecting the accuracy of predictions, is the distribution of coolant flow between sub-channels.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE SA , 2019. Vol. 355, article id UNSP 110281
Keywords [en]
Dryout, Uncertainty, Sensitivity, DARIA
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-264330DOI: 10.1016/j.nucengdes.2019.110281ISI: 000493898800044Scopus ID: 2-s2.0-85071336374OAI: oai:DiVA.org:kth-264330DiVA, id: diva2:1374499
Note

QC 20191202

Available from: 2019-12-02 Created: 2019-12-02 Last updated: 2019-12-02Bibliographically approved

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Anglart, Henryk

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