Mathematical Modelling Forecast on the Idling Transient Characteristic of Reactor Coolant Pump

Wang, Xiuli; Xie, Yu; Lu, Yonghao; Zhu, Rong; Fu, Qiang; Cai, Zheng; An, Ce

doi:10.3390/pr7070452

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…In order to prolong the idling time of the RCP, Zhao [11] optimized the hydraulic performance of the RCP through orthogonal test, and obtained the optimal geometric parameter combination of the impeller by multiple linear regression. Xie [12] put forward a mathematical model of speed and ow during idling of RCP, predicted the mathematical relationship of hydraulic performance of guide vanes under different parameters, and veri ed it with idling test data. In other related research, Wang Sanzhen [13] studied the in uence of the geometric parameters of the inlet of space guide vane, the inlet width and the inlet installation angle on the ow inside submersible pump through numerical simulation, and found that when the geometric parameters of the inlet meet the characteristic equation of the space guide vane at the optimal working condition, the inlet of the space guide vane and its internal ow are stable.…”

Section: Introductionmentioning

confidence: 99%

Study on the influence of guide vane angle on performance characteristics of reactor coolant pump during idling

Zhai

Luo

et al. 2022

Preprint

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In order to study the influence of different guide vane angle variation on performance characteristics of reactor coolant pump (RCP) during idling process, the external characteristics of RCP model with five different guide vane angles at idling process state were analyzed. Radial force characteristics and blade load characteristics of RCP were analyzed. The results show that the head and torque changes of pump with different guide vane angles in different idle period are consistent. The head of DY1model (Guide vane angle increases sharply first and then decreases gently, which convexity is large) is the highest and torque is small. The head drop rate of DY5 model (Guide vane decreases first and then increases, and the concavity is large) is the highest and torque is the largest. With the idling, the radial force of impeller and guide vane decreases gradually. The radial force of DY5 model impeller is small and the fluctuation range is weak. The radial force of DY4 model（Guide vane shows concavity change with gentle increase）impeller before idling is the largest. In the nonlinear transition of idle period, the total radial force of DY4 model is 235N when idling for 32s, which is nearly 30 times lower than that before idling, and the radial force decreases the most. In different idling periods, the radial force amplitude of guide vane of DY5 model is the largest, and the radial force decrease amplitude of guide vane of DY4 model is the largest in the whole idling period. The impeller blade load of DY4 and DY5 model pumps with concavity guide vane angle change law is significantly higher than that of other model pumps after the relative position of streamline is 0.6. When the relative position of the guide vane along the streamline direction is less than 0.5, the load fluctuation of the guide vane of each model pump is large. when the relative position is greater than 0.5, the blade load fluctuation is relatively small.

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Section: Introductionmentioning

confidence: 99%

Study on the influence of guide vane angle on performance characteristics of reactor coolant pump during idling

Zhai

Luo

et al. 2022

Preprint

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“…Therefore, the safety of the reactor under power failure accident depends largely on the idling characteristics of the MCP. According to the principle of moment balance of cooling circuit, some scholars 8,9 have established the mathematical model of rotation speed and flow change of MCP in the idling process. Based on the transient analysis program RELAP5/MOD3, Zhang L 10 and Turnbull B 11 studied the influence of different inertia on the idling process, and the inertial flow provided by the MCP not only can carry out the residual heat of the core for a short time after power failure, but also helps to establish the subsequent natural circulation.…”

Section: Introductionmentioning

confidence: 99%

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

Zhao

Batlló

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part A:

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Lead-cooled fast reactor (LFR) is an important reactor type of the Generation IV nuclear energy, and the main coolant pump (MCP) is the only and most critical power equipment in primary circuit of LFR. The shutdown idling performance of the MCP, is one of the most important safety indicators in the event of a station blackout accident. When the motor loses its power supply, the MCP needs to run under the inertia of the flywheel to ensure the coolant flow for a short time. This study mainly focuses on the idling mathematical model of the MCP under power failure accidents. In this study, taking the shutdown idling performance of the MCP as the optimization goal, the parametric optimization analysis of the impeller and diffuser structure of the MCP was carried out. Specifically, based on the platform ISIGHT, the software of CFturbo, TurboGrid, CFX, Matlab and FLOWMASTER are systematically integrated, the automated 3D modeling, automatic meshing and automatic CFD calculation of different hydraulic model of the MCP are realized. And the neural network mathematical model between the geometric parameters of MCP and the idling performance indicators is established. The study shows that there is a strong linear relationship between the idling performance of the MCP and its head and shaft power, and meridian parameters of Δβ 2, Z 1, Φ 1h and the radial surface parameters of Δβ 1 and Δβ 2, Z 1 and Φ 1h have the greatest impact on the idling performance of MCP.

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“…Our objective was to provide interested readers with an overview of the current state of research, tools and applications on the use of models for simulation and decision support in the process industry. The special issue brings together fourteen contributions on topics ranging from the process systems [1-3] and (bio)chemical engineering [4,5] fields, to software development [6] and applications in heat and power systems [7,8]. Moreover, the hot topic of data mining and machine learning is also discussed from a process engineering perspective in [9,10].…”

mentioning

confidence: 99%

Special Issue on “Process Modelling and Simulation”

2019

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Collecting and highlighting novel developments that address existing as well as forthcoming challenges in the field of process modelling and simulation was the motivation for proposing this special issue on "Process Modelling and Simulation" in the journal Processes. Our objective was to provide interested readers with an overview of the current state of research, tools and applications on the use of models for simulation and decision support in the process industry. The special issue brings together fourteen contributions on topics ranging from the process systems [1-3] and (bio)chemical engineering [4,5] fields, to software development [6] and applications in heat and power systems [7,8]. Moreover, the hot topic of data mining and machine learning is also discussed from a process engineering perspective in [9,10]. This conveys the broadness of use and impact that models will have (and already have) for industrial decision support in the approaching digital era.Process models are the foundation that other applications (sensitivity analysis, predictive simulation, real-time optimization, etc.) build upon. Accordingly, half of the published articles in this special issue focus on model building and parameter estimation and validation. From the chemical and process systems engineering field, we received two contributions [11,12] that model the underlying physical phenomena beyond the classical macro scale, with the aim of having a reliable simulation for predicting the effects of different process operation regimes on product quality, and hence reducing experimentation costs. Also related to this goal, two contributions brought heat and power systems into the scope: [7] proposed a grey-box model of limited complexity that couples the production process with the plant's combined heat and power system in order to reduce operation costs, whereas [8] modeled the hydraulic dynamics in a nuclear reactor cooling pump with respect to different vane structures to ensure safe operation in case of power failures.Models for decision support must be tailored to the actual process, or the underlying equations should allow the transfer of the lab-scale data to any desired scale. In this sense, [3,4] proposed iterative methods for parameter estimation to progressively improve the plant-model match under realistic conditions, and [5] considered uncertainty in the estimation via robust optimization. Furthermore, a methodology for obtaining physically coherent grey-box models (or plant surrogate ones) from fundamental principles and plant data was proposed in [10], while [1] presented a quantitative validation method based on partial least squares to devise the suitable modelling depth according to the quality of the available experimental data.Once reliable prediction models are available, they can be used in numerical simulations to analyze the main features of the process or to evaluate the influence of the operating conditions as well as of the external disturbances. Three examples of different applications were published in this...

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Mathematical Modelling Forecast on the Idling Transient Characteristic of Reactor Coolant Pump

Cited by 4 publications

References 7 publications

Study on the influence of guide vane angle on performance characteristics of reactor coolant pump during idling

Study on the influence of guide vane angle on performance characteristics of reactor coolant pump during idling

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

Special Issue on “Process Modelling and Simulation”

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