2019
DOI: 10.2172/1560529
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Modernization of Technical Requirements for Licensing of Advanced Non-Light Water Reactors: Selection and Evaluation of Licensing Basis Events

Abstract: This report, "Modernization of Technical Requirements for Licensing of Advanced Non-Light Water Reactors: Selection and Evaluation of Licensing Basis Events," represents a key element in the development of a methodology for the efficient licensing of advanced non-light water reactors (non-LWRs). It is the result of a Licensing Modernization Project (LMP) led by Southern Company and cost-shared by the U.S. Department of Energy (DOE). The LMP will result in detailed proposals for establishing licensing technical… Show more

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Cited by 2 publications
(9 citation statements)
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“…IE is the first disturbance to a normal operation of the NPP, thus, the IE selection is not only the primary step to accomplish the accurate and complete PRA model [35] but also to determine the analysis scope. The advanced non-LWR PRA standard suggests a plant or design-specified systematic approach to ascertain IEs, such as master logic diagram (MLD), failure modes and effort analysis (FMEA), heat balance fault tree (HBFT), or hazard and operability analysis (HAZOP) as a process hazards analysis (PHA) [27,31]. In this paper, the methods for IE identification are briefly introduced and compared, with the most appropriate being employed for the pebble bed-filled dry cask PRA.…”
Section: Initiating Event Identificationmentioning
confidence: 99%
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“…IE is the first disturbance to a normal operation of the NPP, thus, the IE selection is not only the primary step to accomplish the accurate and complete PRA model [35] but also to determine the analysis scope. The advanced non-LWR PRA standard suggests a plant or design-specified systematic approach to ascertain IEs, such as master logic diagram (MLD), failure modes and effort analysis (FMEA), heat balance fault tree (HBFT), or hazard and operability analysis (HAZOP) as a process hazards analysis (PHA) [27,31]. In this paper, the methods for IE identification are briefly introduced and compared, with the most appropriate being employed for the pebble bed-filled dry cask PRA.…”
Section: Initiating Event Identificationmentioning
confidence: 99%
“…Historically, VHTR PRA was performed by similar methods to those used for the LWR, however, in company with the evolution of the coated particle fuel, the VHTR PRA techniques have grown with the evolution of reactor design and licensing issues [23][24][25][26][27]. The licensing modernization project (LMP) established risk-informed and performance-based licensing technical requirements for advanced non-LWRs through the evaluation of a licensing basis event (LBE) and structures, systems, and components (SSC) performance [27][28][29]. For severe accident progression, source term, and consequence analysis from the LBE and the SSC performance, U.S. NRC plans to improve the capabilities of the existing computational simulation code, including MELCOR, MACCS, and SCALE [30].…”
mentioning
confidence: 99%
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“…Core Damage Frequency (CDF), Large Early Release Frequency (LERF), or Conditional Containment Failure Probability (CCFP) are the surrogates for the Quantitative Health Objectives (QHO) for currently operating LWRs [48]. However, for advanced non-LRWs, a set of frequency-consequence criteria called F-C Target is used [15].…”
Section: Advanced Non-lwr Licensing Basis Event Selection (Lbe) Approachmentioning
confidence: 99%
“…This new concept needs a unique perspective in terms of PRA since the three levels approach for LWRs is no longer appropriate since some of the Generation IV reactor designs have no concept of core damage. To address this gap, the Licensing Modernization Project (LMP) [15] aimed to develop a framework to support designers in developing a more reasonable licensing basis and to support the NRC in developing regulations for advanced non-LWR plants. The LMP methodology is technology-inclusive, risk-informed, and performance-based (TI-RIPB).…”
Section: Introductionmentioning
confidence: 99%