Statistical Large-Break LOCA analysis for PWRs with combined ECC injection

Autor:	E.-M. Pauli, L.-P. Zeisler, G.-J. Seeberger, R. Trewin
Rok vydání:	2014
Předmět:	Nuclear and High Energy Physics Radiation Core cooling Nuclear Energy and Engineering Ranking Nuclear engineering Environmental science Figure of merit General Materials Science Statistical analysis Safety margin Safety Risk Reliability and Quality Scaling
Zdroj:	Kerntechnik. 79:103-110
ISSN:	2195-8580 0932-3902
DOI:	10.3139/124.110393
Popis:	A statistical analysis methodology based on the code scaling, applicability and uncertainty (CSAU) evaluation approach for predicting the safety margin in case of a postulated large-break loss-of-coolant accident (LBLOCA) in a pressurized-water reactor (PWR) was developed by AREVA. All expected LBLOCA phenomena are listed in the Phenomena Identification and Ranking Table (PIRT) and are prioritized according to their importance on the figure of merit, here the fuel rod peak cladding temperature (PCT). For the high-ranked phenomena parameters are identified, which allow a quantification of the analysis uncertainty. AREVA has updated the PIRT to the state of the art and extended it to the application to pressurized-water reactors with combined emergency core cooling injection of German-type PWRs. This paper describes how the uncertainty distributions, required for a statistical analysis, have been derived and presents the result of an exemplary statistical analysis for a German-type 4-loop plant compared to that of a conservative deterministic analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fb10d83f5d90a9e7f2178716e4c7605f https://doi.org/10.3139/124.110393 Zobrazit plný text záznamu