• Medientyp: E-Artikel
  • Titel: RESULTS OF A PHENOMENA IDENTIFICATION AND RANKING TABLE (PIRT) EXERCISE FOR A SEVERE ACCIDENT IN A SMALL MODULAR HIGH-TEMPERATURE GAS-COOLED REACTOR
  • Beteiligte: Hummel, David William; Chin, Yu-Shan; Prudil, Andrew; Williams, Anthony; Masala, Eugene; Waddington, Geoffrey; Edwards, Matthew; Yakabuskie, Pamela; Jafri, Tariq; Tran, Thuy; Huang, Xianmin; Liang, Zhe
  • Erschienen: Canadian Nuclear Laboratories Limited, 2019
  • Erschienen in: CNL Nuclear Review
  • Sprache: Englisch
  • DOI: 10.12943/cnr.2019.00006
  • ISSN: 2369-6923; 2369-6931
  • Schlagwörter: Cell Biology ; Developmental Biology ; Embryology ; Anatomy
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  • Beschreibung: <jats:p> Canada has attracted specific interest from developers of nonwater-cooled small modular reactor (SMR) technologies, including concepts based on high-temperature gas-cooled reactors (HTGRs). It is anticipated that some research and development (R&amp;D) will be necessary to support safety analysis and licensing of these reactors in Canada. The Phenomena Identification and Ranking Table (PIRT) process is a formalized method in which a panel of experts identifies which physical phenomena are most relevant to the reactor safety analysis and how well understood these phenomena are. The PIRT process is thus a tool to assess current knowledge levels and (or) predictive capabilities of models, thus providing direction to a focused R&amp;D program. This paper summarizes the results of a PIRT process performed by a panel of experts at Canadian Nuclear Laboratories for a limiting or “worst-case” accident scenario at a generic HTGR-type SMR. Suggestions are given regarding the highest priority R&amp;D items to support severe accidents analysis of these reactors. </jats:p>
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