Representing Operational Knowledge of PWR Plant by Using Multilevel Flow Modelling

Xinxin Zhang, Morten Lind, Sten Bay Jørgensen, Niels Jensen, Ole Ravn

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

Abstract

The aim of this paper is to explore the capability of representing operational knowledge by using Multilevel Flow Modelling ( MFM ) methodology. The paper demonstrate s how the operational knowledge can be inserted into the MFM models and be used to evaluate the plant state, identify the current situation and support operational decisions. This paper will provide a general MFM model of the primary side in a standard Westinghouse Pressurized Water Reactor ( PWR ) system including sub - systems of Reactor Coolant System, Rod Control System, Chemical and Volume Control System, emergency heat removal systems. And the sub - systems’ functions will be decomposed into sub - models according to different operational situations. An operational model will be developed based on the operating procedure by using MFM symbols and this model can be used to implement coordination rules for organize the utilizati on of different MFM models in different situation. Combining the operational model and different process models, MFM can be used to identify plant situation.
Original languageEnglish
Title of host publicationProceedings of ISOFIC/ISSNP 2014
Number of pages9
Publication date2014
Publication statusPublished - 2014
Event2014 International Symposium on Future I&C for Nuclear Power Plants/International Symposium on Symbiotic Nuclear Power Systems - Jeju, Korea, Republic of
Duration: 24 Aug 201428 Aug 2014

Conference

Conference2014 International Symposium on Future I&C for Nuclear Power Plants/International Symposium on Symbiotic Nuclear Power Systems
Country/TerritoryKorea, Republic of
CityJeju
Period24/08/201428/08/2014

Keywords

  • Multilevel Flow Modelling
  • Operation Knowledge Reorientation
  • PWR primary system

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