The nuclear industry's transition toward advanced and next-generation reactors has created a growing need for a flexible, technology-inclusive licensing framework that can accommodate diverse reactor designs beyond conventional Light Water Reactors (LWRs). Nuclear Energy Institute (NEI) 18-04 presents a Technology-Inclusive, Risk-Informed, and Performance-Based (TI-RIPB) methodology developed primarily for non-LWR reactor types, capable of providing a Frequency-Consequence(F-C) curve-based analytical framework applicable to the licensing of advanced and various reactor types, including even LWRs. In this context, the F-C curve can serve as a tool that integrates the radiological consequence of event sequences informed by Deterministic Safety Analysis (DSA) and the event sequence frequency quantified by Probabilistic Safety Assessment (PSA) into a single diagram, enabling Licensing Basis Event (LBE) selection and providing a quantitative basis for Structures, Systems, and Components (SSC) safety classification. Meanwhile, in the process of F-C curve generation, calculating sequence-specific frequencies and their associated consequences across numerous initiating events and event sequences can entail substantial effort, such that automation of a consistent procedure may be warranted.

In this study, PCTRAN was adopted as the physics module within a dynamic event tree analysis and automatic event sequence generation with frequency calculation for each sequence was implemented. Furthermore, leveraging the structural advantage that PCTRAN output is directly compatible with the input for RadPuff of the same developer, Micro-Simulation Technology, a foundation is established that can be extended to automated consequence calculation in follow-on research, with source term and Total Effective Dose Equivalent (TEDE)-based consequence calculation and full F-C curve generation addressed in a companion paper presented at this conference. As a suitable non-LWR thermal-hydraulic model could not be secured at the time of this study, a case study is presented using the Korean OPR1000 model of PCTRAN to demonstrate the full process from automatic event sequence generation to sequence-specific frequency calculation. The proposed automated procedure aims to demonstrate an automated workflow and a practical implementation approach for integrating PCTRAN within a dynamic event tree analysis, thereby improving the efficiency and reproducibility of analytical procedures applicable to future F–C curve generation.