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    Nuclear Regulatory Acceptance of Certified Process Data Reconciliation

    Source: Journal of Nuclear Engineering and Radiation Science:;2021:;volume( 008 ):;issue: 002::page 22101-1
    Author:
    Jansky, Andy
    ,
    Langenstein, Magnus
    DOI: 10.1115/1.4051619
    Publisher: 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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      Nuclear Regulatory Acceptance of Certified Process Data Reconciliation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4284038
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    contributor authorJansky, Andy
    contributor authorLangenstein, Magnus
    date accessioned2022-05-08T08:31:45Z
    date available2022-05-08T08:31:45Z
    date copyright10/19/2021 12:00:00 AM
    date issued2021
    identifier issn2332-8983
    identifier otherners_008_02_022101.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284038
    description abstractThe 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleNuclear Regulatory Acceptance of Certified Process Data Reconciliation
    typeJournal Paper
    journal volume8
    journal issue2
    journal titleJournal of Nuclear Engineering and Radiation Science
    identifier doi10.1115/1.4051619
    journal fristpage22101-1
    journal lastpage22101-5
    page5
    treeJournal of Nuclear Engineering and Radiation Science:;2021:;volume( 008 ):;issue: 002
    contenttypeFulltext
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