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A Methodology for Characterizing Representativeness Uncertainty in Performance Indicator Measurements of Power Generating Systems

Author(s)
Otgonbaatar, U.; Baglietto, Emilio; Todreas, N. E.; Lenci, G.
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
In this work, a general methodology and innovative framework to characterize and quantify representativeness uncertainty of performance indicator measurements of power generation systems is proposed. The representativeness uncertainty refers to the difference between a measurement value of a performance indicator quantity and its reference true value. It arises from the inherent variability of the quantity being measured. The main objectives of the methodology are to characterize and reduce the representativeness uncertainty by adopting numerical simulation in combination with experimental data and to improve the physical description of the measurement. The methodology is applied to an industrial case study for demonstration. The case study involves a computational fluid dynamics (CFD) simulation of an orifice plate-based mass flow rate measurement, using a commercially available package. Using the insight obtained from the CFD simulation, the representativeness uncertainty in mass flow rate measurement is quantified and the associated random uncertainties are comprehensively accounted for. Both parametric and nonparametric implementations of the methodology are illustrated. The case study also illustrates how the methodology is used to quantitatively test the level of statistical significance of the CFD simulation result after accounting for the relevant uncertainties.
Date issued
2018-06-01
URI
https://hdl.handle.net/1721.1/124538
Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Journal
Journal of verification, validation, and uncertainty quantification
Publisher
ASME International
Citation
Otgonbaatar, U. et al. "A Methodology for Characterizing Representativeness Uncertainty in Performance Indicator Measurements of Power Generating Systems." Journal of verification, validation, and uncertainty quantification 3 (2018): 021005 © 2019 The Author(s)
Version: Final published version
ISSN
2377-2158
2377-2166

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