Multilevel Flow Modeling for Nuclear Power Plant Diagnosis

G Gola, Morten Lind, Harald P-J Thunem, Atoosa P-J Thunem, Emil Wingstedt, Davide Roverso, Morten Lind

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


As complexity and safety requirements of current and future nuclear power plants increase, innovative methods are being investigated to perform accurate and reliable system diagnoses. Detecting malfunctions, identifying their causes and possibly predicting their consequences are major challenges, especially if extended to the whole plant. Monitoring plant performances by means of data reconciliation techniques has proved successful to detect anomalies during operation, provide early warnings and eventually schedule maintenance. At the same time, the large amount of information provided by large-scale monitoring systems is hard to handle manually. In this paper, the use of an innovative function-oriented modeling approach, called Multilevel Flow Modeling, is proposed for performing an automatic analysis of the outcomes of the monitoring systems with the aim of identifying the root causes of the possibly detected anomalies. The combination of a data reconciliation system and the Multilevel Flow Modeling approach is illustrated with regard to the secondary loop of the Loviisa-2 Pressurized Water Reactor located in Finland.
Original languageEnglish
Title of host publicationAdvances in Safety, Reliability and Risk Management - Proceedings of the European Safety and Reliability Conference, ESREL 2011
PublisherEuropean Safety and Reliability Association
Publication date2012
ISBN (Print)9780415683791
Publication statusPublished - 2012
Event20th European Safety and Reliability Conference: Advances in Safety, Reliability and Risk Management - Troyes, France
Duration: 18 Sep 201122 Sep 2011
Conference number: 20


Conference20th European Safety and Reliability Conference
Internet address


  • Nuclear power plants
  • Pressurized water reactors
  • Reliability
  • Risk management
  • Computer simulation
  • Amount of information
  • Automatic analysis
  • Data reconciliation
  • Early warning
  • Finland
  • Innovative method
  • Large-scale monitoring
  • Modeling approach
  • Monitoring system
  • Multilevel flow modeling
  • Plant performance
  • Reliable systems
  • Root cause
  • Safety requirements
  • secondary loops
  • Whole plants


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