Published August 15, 2016 | Version v1
Journal article

Online application of a risk management system for risk assessment and monitoring at NPPs

  • 1. Key Laboratory of Fundamental Science on Nuclear Safety and Simulation Technology, Harbin Engineering University (China)
  • 2. China Nuclear Power Engineering Co. Ltd (China)

Description

Highlights: • A generic GO-FLOW modeling structure is proposed for easily Living PSA development and analysis. • Hierarchical and modularized scheme is applied in the development of Living PSA models and database. • A risk management system is developed by GO-FLOW method. • Functional testing is conducted on the risk management system for performance evaluation. • The fast solution time derived from Living PSA application is supportive in plant safety management. - Abstract: The paper presents a risk management system on the basis of Living PSA models which are developed under a proposed generic GO-FLOW modeling method with a hierarchical and modular structure. The design of the risk management system is aiming at assisting plant personnel to manage maintenance plan and system configuration, and conduct system reliability monitoring, risk monitoring and risk management quickly and conveniently through graphical user interfaces without going deep into the details of building, updating and analyzing reliability and risk models. The performance of the proposed risk management system was tested on a full-scale simulator of PWR nuclear power plant and demonstrated that the fast solution time derived from utilization of hierarchical and modularized Living PSA models is strongly supportive for instantaneous risk assessment as well as for daily risk management at NPPs.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nucengdes.2016.05.025

Additional details

Identifiers

DOI
10.1016/j.nucengdes.2016.05.025;
PII
S0029-5493(16)30140-6;

Publishing Information

Journal Title
Nuclear Engineering and Design
Journal Volume
305
Journal Page Range
p. 200-212
ISSN
0029-5493
CODEN
NEDEAU

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.