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

IF 0.5 Q4 ENGINEERING, MECHANICAL
U. Otgonbaatar, E. Baglietto, Y. Caffari, N. Todreas, G. Lenci
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引用次数: 0

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.
发电系统性能指标测量中代表性不确定度的表征方法
在这项工作中,提出了表征和量化发电系统性能指标测量的代表性不确定性的一般方法和创新框架。代表性不确定度是指绩效指标数量的测量值与其参考真值之间的差异。它源于被测量量的内在可变性。该方法的主要目标是通过结合实验数据采用数值模拟来表征和减少代表性不确定性,并改进测量的物理描述。将该方法应用于一个工业案例研究中进行论证。该案例研究涉及基于孔板的质量流量测量的计算流体动力学(CFD)模拟,使用市售软件包。利用CFD模拟得到的洞见,量化了质量流量测量中的代表性不确定性,综合考虑了相关的随机不确定性。说明了该方法的参数化和非参数化实现。案例研究还说明了如何使用该方法在考虑相关不确定性后定量测试CFD模拟结果的统计显著性水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
16.70%
发文量
12
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