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.
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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

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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