Nuclear Regulatory Acceptance of Certified Process Data ReconciliationSource: Journal of Nuclear Engineering and Radiation Science:;2021:;volume( 008 ):;issue: 002::page 22101-1DOI: 10.1115/1.4051619Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The utility industry is currently undergoing a substantial change from analogue to digital infrastructure. Not only plant performance and utility profits are dependent on accurate plant operational parameters but, more importantly, set safety limits need to be met in order to ensure safe operation of nuclear power plants in particular. Using nonquality-assured process data for operational decisions can result in significant over- or under-power events in the plant. In addition, all new technologies such as AI, IIoT, and digital twin technology rely on robust process data as input, putting at risk the significance of the results from the continuing data processing (“garbage in, garbage out”). One method, certified process data reconciliation, or certified process data reconciliation (CPDR), cuts through the vast amount of available process data and generates all relevant process values with the smallest uncertainty possible. In addition, 95% of all collected process data can be discarded after introduction of CPDR. With CPDR, plant operation and maintenance can be significantly optimized and utilities can profit by realizing, e.g., power recovery and measurement uncertainty recapture (MUR). Because the focus on reconciled instead of measured values constitutes a paradigm shift, the application of CPDR needs to be communicated to nuclear regulators. This paper describes the approach and experience of the regulator acceptance process in various countries around the globe.
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contributor author | Jansky, Andy | |
contributor author | Langenstein, Magnus | |
date accessioned | 2022-05-08T08:31:45Z | |
date available | 2022-05-08T08:31:45Z | |
date copyright | 10/19/2021 12:00:00 AM | |
date issued | 2021 | |
identifier issn | 2332-8983 | |
identifier other | ners_008_02_022101.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4284038 | |
description abstract | The utility industry is currently undergoing a substantial change from analogue to digital infrastructure. Not only plant performance and utility profits are dependent on accurate plant operational parameters but, more importantly, set safety limits need to be met in order to ensure safe operation of nuclear power plants in particular. Using nonquality-assured process data for operational decisions can result in significant over- or under-power events in the plant. In addition, all new technologies such as AI, IIoT, and digital twin technology rely on robust process data as input, putting at risk the significance of the results from the continuing data processing (“garbage in, garbage out”). One method, certified process data reconciliation, or certified process data reconciliation (CPDR), cuts through the vast amount of available process data and generates all relevant process values with the smallest uncertainty possible. In addition, 95% of all collected process data can be discarded after introduction of CPDR. With CPDR, plant operation and maintenance can be significantly optimized and utilities can profit by realizing, e.g., power recovery and measurement uncertainty recapture (MUR). Because the focus on reconciled instead of measured values constitutes a paradigm shift, the application of CPDR needs to be communicated to nuclear regulators. This paper describes the approach and experience of the regulator acceptance process in various countries around the globe. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Nuclear Regulatory Acceptance of Certified Process Data Reconciliation | |
type | Journal Paper | |
journal volume | 8 | |
journal issue | 2 | |
journal title | Journal of Nuclear Engineering and Radiation Science | |
identifier doi | 10.1115/1.4051619 | |
journal fristpage | 22101-1 | |
journal lastpage | 22101-5 | |
page | 5 | |
tree | Journal of Nuclear Engineering and Radiation Science:;2021:;volume( 008 ):;issue: 002 | |
contenttype | Fulltext |