Exploration on the comprehensive data reconciliation framework for unknown parameter inference in the nuclear power plant system

You, Jiarui; Wu, Jiahua; Xu, Liang; Xie, Yonghui; Qiu, Jianyong; Wan, Liang; Qin, Qianwen

doi:10.1016/j.applthermaleng.2024.123138

Applied Thermal Engineering

2024

DOI: 10.1016/j.applthermaleng.2024.123138

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Exploration on the comprehensive data reconciliation framework for unknown parameter inference in the nuclear power plant system

Jiarui You,

Jiahua Wu,

Liang Xu

et al.

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Cited by 3 publications

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Increasing measurement accuracy by nonparametric data reconciliation

Garanin,

Semenov

2024

Measurement

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Increasing measurement accuracy by nonparametric data reconciliation

Garanin,

Semenov

2024

Measurement

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Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO2 Based on Data Reconciliation

Xu,

You,

et al. 2024

Applied Sciences

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At present, the research significance of a waste heat recovery system of a gas turbine using CO2 is gradually becoming prominent, and accurate parameter measurement and performance monitoring are very necessary in the process of establishing coupled circulation system and actual operation. In this paper, a data reconciliation model is established based on the waste heat recovery system of a gas turbine using supercritical CO2 (S-CO2) cycle with two S-CO2 turbines, and several random errors and gross errors are added to verify the data reconciliation ability of the model. The calculation shows that the data reconciliation model established in this paper can obviously reduce the overall deviation level of each parameter in the thermal system, and can also identify and eliminate gross errors in the system. For some of the key parameters such as the total mass flow of CO2, data deviation is reduced to less than 1%, and high-precision power values of the equipment are calculated. This means that the measurement accuracy is effectively improved. In general, this paper makes a new attempt to use data reconciliation in parameter measurement and correction of a simple coupled cyclic system, and provides a certain reference for the subsequent application.

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Research on the Structural Performance of Liquid Nitrogen Ice Plugs on Nuclear Power Pipes

Zhang,

Xu,

et al. 2024

Energies

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Nuclear energy, as an important component of the power system, has become a key focus of future energy development research. Various equipment and pipelines in nuclear power plants require regular inspection, maintenance, and repair. The pipelines in nuclear power plants are typically large, necessitating a device that can locally isolate sections of the pipeline during maintenance operations. Ice plug freezing technology, an economical and efficient method for maintaining and replacing equipment without shutdown, has been widely applied in nuclear power plants. The structure of the ice plug jacket, a type of low-temperature jacket heat exchanger, affects the flow path of the working fluid within the jacket and consequently impacts heat transfer. This study utilizes Computational Fluid Dynamics (CFD) to establish five types of jacket structures: standard, center-offset (center-in, side-out), helical, helical fin, and labyrinth. The effects of different structures on the freezing characteristics of ice plugs are analyzed and compared. The research indicates that the labyrinth jacket enhances the heat transfer performance between liquid nitrogen and the liquid inside the pipe, forming a larger ice layer at the same liquid nitrogen flow rate. Additionally, the standard jacket has the shortest sealing time at high liquid nitrogen flow rates.

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Exploration on the comprehensive data reconciliation framework for unknown parameter inference in the nuclear power plant system

Cited by 3 publications

References 22 publications

Increasing measurement accuracy by nonparametric data reconciliation

Increasing measurement accuracy by nonparametric data reconciliation

Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO2 Based on Data Reconciliation

Research on the Structural Performance of Liquid Nitrogen Ice Plugs on Nuclear Power Pipes

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