Data reconciliation of the turbine section: Evaluation of estimation uncertainty

Olli Saarela, E. Wingstedt

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Data reconciliation is technique for reducing measurement uncertainty by adjusting measured data to comply with a first principles process model, most importantly with mass and energy balances. It also provides estimates for modelled unmeasurable process variables and estimates for the uncertainties of the computed values. For computing these estimates the process model has to include estimates of measurement uncertainties defined a priori. A priori consideration of all potential sources of uncertainty is far from trivial. This paper discusses a data-driven approach of uncertainty evaluation, based on identifying and subtracting variability modes affecting multiple measurements. Possible bias in the measurements is not considered. The approach is applied to evaluate the uncertainties of estimates computed with a data reconciliation model of a turbine section of a nuclear power plant.
    Original languageEnglish
    Title of host publicationVolume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events
    PublisherAmerican Society of Mechanical Engineers ASME
    Number of pages5
    ISBN (Print)978-0-7918-4596-7
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    Event22nd International Conference on Nuclear Engineering, ICONE 22 - Prague, Czech Republic
    Duration: 7 Jul 201411 Jul 2014

    Conference

    Conference22nd International Conference on Nuclear Engineering, ICONE 22
    Abbreviated titleICONE22
    CountryCzech Republic
    CityPrague
    Period7/07/1411/07/14

    Fingerprint

    turbine
    nuclear power plant
    energy balance
    mass balance
    evaluation

    Keywords

    • data reconciliation
    • estimation uncertainty

    Cite this

    Saarela, O., & Wingstedt, E. (2014). Data reconciliation of the turbine section: Evaluation of estimation uncertainty. In Volume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events American Society of Mechanical Engineers ASME. https://doi.org/10.1115/ICONE22-31202
    Saarela, Olli ; Wingstedt, E. / Data reconciliation of the turbine section : Evaluation of estimation uncertainty. Volume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events. American Society of Mechanical Engineers ASME, 2014.
    @inproceedings{97357db73cb94609af1b20e316d5bd83,
    title = "Data reconciliation of the turbine section: Evaluation of estimation uncertainty",
    abstract = "Data reconciliation is technique for reducing measurement uncertainty by adjusting measured data to comply with a first principles process model, most importantly with mass and energy balances. It also provides estimates for modelled unmeasurable process variables and estimates for the uncertainties of the computed values. For computing these estimates the process model has to include estimates of measurement uncertainties defined a priori. A priori consideration of all potential sources of uncertainty is far from trivial. This paper discusses a data-driven approach of uncertainty evaluation, based on identifying and subtracting variability modes affecting multiple measurements. Possible bias in the measurements is not considered. The approach is applied to evaluate the uncertainties of estimates computed with a data reconciliation model of a turbine section of a nuclear power plant.",
    keywords = "data reconciliation, estimation uncertainty",
    author = "Olli Saarela and E. Wingstedt",
    year = "2014",
    doi = "10.1115/ICONE22-31202",
    language = "English",
    isbn = "978-0-7918-4596-7",
    booktitle = "Volume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events",
    publisher = "American Society of Mechanical Engineers ASME",
    address = "United States",

    }

    Saarela, O & Wingstedt, E 2014, Data reconciliation of the turbine section: Evaluation of estimation uncertainty. in Volume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events. American Society of Mechanical Engineers ASME, 22nd International Conference on Nuclear Engineering, ICONE 22, Prague, Czech Republic, 7/07/14. https://doi.org/10.1115/ICONE22-31202

    Data reconciliation of the turbine section : Evaluation of estimation uncertainty. / Saarela, Olli; Wingstedt, E.

    Volume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events. American Society of Mechanical Engineers ASME, 2014.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    TY - GEN

    T1 - Data reconciliation of the turbine section

    T2 - Evaluation of estimation uncertainty

    AU - Saarela, Olli

    AU - Wingstedt, E.

    PY - 2014

    Y1 - 2014

    N2 - Data reconciliation is technique for reducing measurement uncertainty by adjusting measured data to comply with a first principles process model, most importantly with mass and energy balances. It also provides estimates for modelled unmeasurable process variables and estimates for the uncertainties of the computed values. For computing these estimates the process model has to include estimates of measurement uncertainties defined a priori. A priori consideration of all potential sources of uncertainty is far from trivial. This paper discusses a data-driven approach of uncertainty evaluation, based on identifying and subtracting variability modes affecting multiple measurements. Possible bias in the measurements is not considered. The approach is applied to evaluate the uncertainties of estimates computed with a data reconciliation model of a turbine section of a nuclear power plant.

    AB - Data reconciliation is technique for reducing measurement uncertainty by adjusting measured data to comply with a first principles process model, most importantly with mass and energy balances. It also provides estimates for modelled unmeasurable process variables and estimates for the uncertainties of the computed values. For computing these estimates the process model has to include estimates of measurement uncertainties defined a priori. A priori consideration of all potential sources of uncertainty is far from trivial. This paper discusses a data-driven approach of uncertainty evaluation, based on identifying and subtracting variability modes affecting multiple measurements. Possible bias in the measurements is not considered. The approach is applied to evaluate the uncertainties of estimates computed with a data reconciliation model of a turbine section of a nuclear power plant.

    KW - data reconciliation

    KW - estimation uncertainty

    U2 - 10.1115/ICONE22-31202

    DO - 10.1115/ICONE22-31202

    M3 - Conference article in proceedings

    SN - 978-0-7918-4596-7

    BT - Volume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events

    PB - American Society of Mechanical Engineers ASME

    ER -

    Saarela O, Wingstedt E. Data reconciliation of the turbine section: Evaluation of estimation uncertainty. In Volume 6: Nuclear Education, Public Acceptance and Related Issues; Instrumentation and Controls; Fusion Engineering; Beyond Design Basis Events. American Society of Mechanical Engineers ASME. 2014 https://doi.org/10.1115/ICONE22-31202