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Title: Extending Sensor Calibration Intervals in Nuclear Power Plants

Abstract

Currently in the USA, sensor recalibration is required at every refueling outage, and it has emerged as a critical path item for shortening outage duration. International application of calibration monitoring, such as at the Sizewell B plant in UK, has shown that sensors may operate for eight years, or longer, within calibration tolerances. Online monitoring can be employed to identify those sensors which require calibration, allowing for calibration of only those sensors which need it. The US NRC accepted the general concept of online monitoring for sensor calibration monitoring in 2000, but no plants have been granted the necessary license amendment to apply it. This project addresses key issues in advanced recalibration methodologies and provides the science base to enable adoption of best practices for applying online monitoring, resulting in a public domain standardized methodology for sensor calibration interval extension. Research to develop this methodology will focus on three key areas: (1) quantification of uncertainty in modeling techniques used for calibration monitoring, with a particular focus on non-redundant sensor models; (2) accurate determination of acceptance criteria and quantification of the effect of acceptance criteria variability on system performance; and (3) the use of virtual sensor estimates to replace identified faultymore » sensors to extend operation to the next convenient maintenance opportunity.« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1089085
Report Number(s):
PNNL-SA-88584
NT0107000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Transactions of the American Nuclear Society, 107:327-328
Additional Journal Information:
Journal Name: Transactions of the American Nuclear Society, 107:327-328
Country of Publication:
United States
Language:
English
Subject:
Online Monitoring; Calibration Extension

Citation Formats

Coble, Jamie B., Meyer, Ryan M., Ramuhalli, Pradeep, Bond, Leonard J., Shumaker, Brent, and Hashemian, Hash. Extending Sensor Calibration Intervals in Nuclear Power Plants. United States: N. p., 2012. Web.
Coble, Jamie B., Meyer, Ryan M., Ramuhalli, Pradeep, Bond, Leonard J., Shumaker, Brent, & Hashemian, Hash. Extending Sensor Calibration Intervals in Nuclear Power Plants. United States.
Coble, Jamie B., Meyer, Ryan M., Ramuhalli, Pradeep, Bond, Leonard J., Shumaker, Brent, and Hashemian, Hash. Thu . "Extending Sensor Calibration Intervals in Nuclear Power Plants". United States.
@article{osti_1089085,
title = {Extending Sensor Calibration Intervals in Nuclear Power Plants},
author = {Coble, Jamie B. and Meyer, Ryan M. and Ramuhalli, Pradeep and Bond, Leonard J. and Shumaker, Brent and Hashemian, Hash},
abstractNote = {Currently in the USA, sensor recalibration is required at every refueling outage, and it has emerged as a critical path item for shortening outage duration. International application of calibration monitoring, such as at the Sizewell B plant in UK, has shown that sensors may operate for eight years, or longer, within calibration tolerances. Online monitoring can be employed to identify those sensors which require calibration, allowing for calibration of only those sensors which need it. The US NRC accepted the general concept of online monitoring for sensor calibration monitoring in 2000, but no plants have been granted the necessary license amendment to apply it. This project addresses key issues in advanced recalibration methodologies and provides the science base to enable adoption of best practices for applying online monitoring, resulting in a public domain standardized methodology for sensor calibration interval extension. Research to develop this methodology will focus on three key areas: (1) quantification of uncertainty in modeling techniques used for calibration monitoring, with a particular focus on non-redundant sensor models; (2) accurate determination of acceptance criteria and quantification of the effect of acceptance criteria variability on system performance; and (3) the use of virtual sensor estimates to replace identified faulty sensors to extend operation to the next convenient maintenance opportunity.},
doi = {},
journal = {Transactions of the American Nuclear Society, 107:327-328},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {11}
}