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Title: Johnson Noise Thermometry for Advanced Small Modular Reactors

Abstract

Temperature is a key process variable at any nuclear power plant (NPP). The harsh reactor environment causes all sensor properties to drift over time. At the higher temperatures of advanced NPPs the drift occurs more rapidly. The allowable reactor operating temperature must be reduced by the amount of the potential measurement error to assure adequate margin to material damage. Johnson noise is a fundamental expression of temperature and as such is immune to drift in a sensor’s physical condition. In and near the core, only Johnson noise thermometry (JNT) and radiation pyrometry offer the possibility for long-term, high-accuracy temperature measurement due to their fundamental natures. Small Modular Reactors (SMRs) place a higher value on long-term stability in their temperature measurements in that they produce less power per reactor core and thus cannot afford as much instrument recalibration labor as their larger brethren. The purpose of the current ORNL-led project, conducted under the Instrumentation, Controls, and Human-Machine Interface (ICHMI) research pathway of the U.S. Department of Energy (DOE) Advanced SMR Research and Development (R&D) program, is to develop and demonstrate a drift free Johnson noise-based thermometer suitable for deployment near core in advanced SMR plants.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE NE Office of Nuclear Reactor Technologies (NE-7)
OSTI Identifier:
1054146
Report Number(s):
ORNL/TM-2012/346; SMR/ICHMI/ORNL/TR-2012/01
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; small modular reactors

Citation Formats

Britton, Jr, C L, Roberts, M, Bull, N D, Holcomb, D E, and Wood, R T. Johnson Noise Thermometry for Advanced Small Modular Reactors. United States: N. p., 2012. Web. doi:10.2172/1054146.
Britton, Jr, C L, Roberts, M, Bull, N D, Holcomb, D E, & Wood, R T. Johnson Noise Thermometry for Advanced Small Modular Reactors. United States. https://doi.org/10.2172/1054146
Britton, Jr, C L, Roberts, M, Bull, N D, Holcomb, D E, and Wood, R T. Sat . "Johnson Noise Thermometry for Advanced Small Modular Reactors". United States. https://doi.org/10.2172/1054146. https://www.osti.gov/servlets/purl/1054146.
@article{osti_1054146,
title = {Johnson Noise Thermometry for Advanced Small Modular Reactors},
author = {Britton, Jr, C L and Roberts, M and Bull, N D and Holcomb, D E and Wood, R T},
abstractNote = {Temperature is a key process variable at any nuclear power plant (NPP). The harsh reactor environment causes all sensor properties to drift over time. At the higher temperatures of advanced NPPs the drift occurs more rapidly. The allowable reactor operating temperature must be reduced by the amount of the potential measurement error to assure adequate margin to material damage. Johnson noise is a fundamental expression of temperature and as such is immune to drift in a sensor’s physical condition. In and near the core, only Johnson noise thermometry (JNT) and radiation pyrometry offer the possibility for long-term, high-accuracy temperature measurement due to their fundamental natures. Small Modular Reactors (SMRs) place a higher value on long-term stability in their temperature measurements in that they produce less power per reactor core and thus cannot afford as much instrument recalibration labor as their larger brethren. The purpose of the current ORNL-led project, conducted under the Instrumentation, Controls, and Human-Machine Interface (ICHMI) research pathway of the U.S. Department of Energy (DOE) Advanced SMR Research and Development (R&D) program, is to develop and demonstrate a drift free Johnson noise-based thermometer suitable for deployment near core in advanced SMR plants.},
doi = {10.2172/1054146},
url = {https://www.osti.gov/biblio/1054146}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {9}
}