Simulation for Predicting Condition of Plant Equipment

2021 ◽  
Author(s):  
Shoichi Kashiwase ◽  
Kenji Osaki ◽  
Makoto Hatakeyama ◽  
Tomokazu Kaneko

Abstract Condition-based maintenance (CBM) is a maintenance program that recommends maintenance decisions based on maintenance information by condition monitoring. To apply CBM to industrial systems, it is important to diagnose condition of equipment appropriately based on the knowledge of abnormal condition of the equipment. In nuclear power plant, however, it is quite difficult to obtain the knowledge of abnormal condition. For this reason, simulation is expected to be an effective approach to estimate conditions of equipment instead of data acquisition. In this study, we focused on and built models for a motor operated valve and a pump, since the inspection cost is generally expensive due to the number of them in nuclear power plant. We considered a pump system and analyzed the measurement values in normal and abnormal conditions. Our analytical result reproduces the behavior of the measurement values and shows the characteristic deviation from normal condition in abnormal conditions.

Author(s):  
Shoichi Kashiwase ◽  
Kenji Osaki ◽  
Makoto Hatakeyama ◽  
Tomokazu Kaneko

Abstract Condition-based maintenance (CBM) is a maintenance program that recommends maintenance decisions based on maintenance information by condition monitoring. To apply CBM to industrial systems, it is important to diagnose condition of equipment appropriately based on the knowledge of abnormal condition of the equipment. In nuclear power plant, however, it is quite difficult to obtain the knowledge of abnormal condition. For this reason, simulation is expected to be an effective approach to estimate conditions of equipment instead of data acquisition. In this study, we focused on and built models for a motor operated valve and a pump, since the inspection cost is generally expensive due to the number of them in nuclear power plant. We considered a pump system and analyzed the measurement values in normal and abnormal conditions. Our analytical result reproduces the behavior of the measurement values and shows the characteristic deviation from normal condition in abnormal conditions.


2011 ◽  
Vol 99-100 ◽  
pp. 350-353
Author(s):  
Xiao Bing Sun ◽  
Xu Bin Qiao

As the largest unit capacity of nuclear power plant at present, the flow conduit of circulating water pump in EPR1750 nuclear power plant is a volute conduit, which is a cast-in-situ conceret structure with complexly gradual change cavity. Therefore, the hydraulic efficiency of circulating water pump is not only related with the design of pump leaves, but also closely related to the design of volute and the complicated spatial type of intake and outtake conduits. With the pump leaves and the intake and outtake conduits of conceret volute as the research model, based on computational fluid dynamics (CFD)and the three dimensional Reynolds averaged Navier-Stokes equations, an analytic model suitable for computation is established to simulate the three-dimensional steady flow in the whole pumping system under different operating modes. By use of the commercial fluid-computation softer ANSYS, the distribution of basic physic quantities in the fluid field inside the pump and the conduits is obtained. The analysis and prediction of the performance of pump system are made, and the spatial type design of intake and outtake conduits is evaluated. The calculation results can be referenced to improve the design of pump systems in the similar projects.


Author(s):  
Greg C. Alder ◽  
Frank J. Todd

With the combination of increased demand for electric power and advancing age of operating equipment in nuclear power plants, is more important than ever to monitor the condition of plant operation. There are many factors to monitor in nuclear power plant equipment condition. However, one that is frequently overlooked is thermal performance. Often this is an area where plant personnel can find “low hanging fruit” with great return on investment. Often thermal performance analysis can discover better methods to maintain critical plant equipment resulting in more efficient outage activities. Plants also benefit from increasing their operators’ awareness of the importance of thermal performance monitoring to find lost power generation. This paper will discuss proven methods to track, trend, and prioritize thermal performance issues in order to reduce the time from the occurrence of a loss to recovery.


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