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Safety Analysis for Small Modular Reactor

소형모듈원자로 안전해석

UndergraduateYear 33 creditsAdvanced major

A course on the design features and safety systems of small modular reactors (SMRs), and on the principles and procedures of system-code-based safety analysis. Up to the midterm you study a range of SMR concepts; after it, teams build a simplified system code and compute an accident with it.

Key question

Can you independently develop a system code that simulates the safety systems and accident thermal-hydraulic behavior of a small modular reactor, and propose safety evaluations and design improvements based on what it computes?

How the course runs

01

Before the midterm

Learning

  • Design concepts and safety systems of water-cooled and non-water-cooled SMRs
  • Thermal-hydraulic behavior during accidents
  • The structure and modeling methods of reactor system codes
  • Application procedures and limits, read from real safety analysis cases
02

After the midterm

Building

  • Form a team and choose one SMR concept and one accident scenario
  • Define the engineering problem — assumptions, control volumes, governing equations, constitutive relations, boundary conditions
  • Build a simplified system code with Python, assisted by generative AI
  • Run steady-state and accident transient calculations
  • Check conservation, numerical convergence, and physical validity; verify against published literature or analytical solutions
  • Assess safety, then present the model's limits and possible design improvements

By the end of this course

  1. 01Explain the design features, safety systems, and accident thermal-hydraulic behavior of a range of SMR concepts.
  2. 02Understand the control-volume models, conservation equations, heat-transfer models, and pressure-drop models used in reactor system codes, and apply them to reactor analysis problems.
  3. 03Develop a simplified reactor system analysis code with Python and generative AI, and carry out steady-state and accident transient analyses.

Format

  • IC-PBL
  • Team project
  • Python coding
  • Generative AI

Topics covered

  • Design features across SMR concepts
  • Passive safety systems
  • Accident thermal-hydraulics
  • System code structure and numerics
  • Control-volume system modeling
  • Python-based code development
  • Steady-state and transient analysis
  • Model verification and uncertainty
  • SMR safety evaluation
  • Design improvement

Course information

Course code
NUE4067
Credits
3 credits
Category
Advanced major
As of
Fall 2026

Sustainable Development Goals

  • SDG 7Ensure access to affordable, reliable, sustainable and modern energy for all

Core competency

Collaboration

Check the academic portal for sections, timetables and rooms.

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