Incorporation of unit 1 inspection results on the STP reactor vessel head nuclear asset management analysis

Ernie Kee*, Vera Moiseytseva, Alexander Galenko, David Morton, Elmira Popova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Including local experience information with generic data can maximize operational flexibility and help make better informed nuclear asset management decisions. Experience data are particularly helpful in risk-informed asset management decision-making. In 2004, South Texas Project (STP) used a risk-informed study to help decide the proper timing for reactor vessel head replacement. The decision to replace the reactor vessel heads was based on a previous study. Up to the time of decision-making inspections had not been performed at STP and therefore, the likelihood of finding a J-Groove failure in an inspection was based on generic industry information in both of the studies. In the Unit 1 fall outage, a full volumetric reactor vessel head penetration inspection was performed. The inspection method is briefly described. The algorithm for optimal timing of the reactor vessel head is presented and solved for the STP case. The generic industry J-Groove failure data is updated with the recent results from the Unit 1 outage inspection and the new failure projections are summarized. The optimal timing model is again run using the updated data and compared with the previous results.

Original languageEnglish (US)
Title of host publication2007 Proceedings of the ASME Pressure Vessels and Piping Conference - Operations, Applications and Components
Pages7-13
Number of pages7
Volume7
DOIs
StatePublished - May 19 2008
Event2007 ASME Pressure Vessels and Piping Conference, PVP 2007 - San Antonio, TX, United States
Duration: Jul 22 2007Jul 26 2007

Other

Other2007 ASME Pressure Vessels and Piping Conference, PVP 2007
CountryUnited States
CitySan Antonio, TX
Period7/22/077/26/07

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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