Study on the Disturbances Analysis System for Nuclear Power Plant
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- WAKABAYASHI Jiro
- Principal Investigator
- Professor,Institute of Atomic Energy
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- GOFUKU Akio
- Co-Investigator
- Instructor, Institute of Atomic Energy
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- YOSHIKAWA Hidekazu
- Co-Investigator
- Associate Professor,Institute of Atomic Energy
About This Project
- Japan Grant Number
- JP60460234 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 60460234
- Research Category
- Grant-in-Aid for General Scientific Research (B)
- Allocation Type
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- Single-year Grants
- Review Section / Research Field
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- Multidisciplinary Fields > Nuclear engineering
- Research Institution
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- Kyoto University
- Project Period (FY)
- 1985 〜 1987
- Project Status
- Completed
- Budget Amount*help
- 4,200,000 Yen (Direct Cost: 4,200,000 Yen)
Research Abstract
This research has been continued from before 1985. 1) We developed the identification method of multiple disturbances happened in Nuclear Power Plant (NPP), where projective operator method was applied to the plant instrumentation signals. By the development of new data processing methods, the above method was extended to be applicable not only for the approximately linear plant (BWR) but also for the remarkable non-linear plant (PWR) and for the plant operated with automatic frequency control (AFC). 2) We developed the on-line real-time estimation method of safety parameters for post small break loss of coolant accident (SBLOCA) PWR Plant. i.e. a) break size and break location for pipe break, b) break flow rate from primary side to secondary side for steam generator (SG) tube rupture, and c) heat transfer rate from primary side to secondary side of SG. 3) We developed the real-time accident tracking simulation code, TOKRAC, where the real-time estimated signals and several plant instrumentation signals are utilized as input signals. The validity of this tracking simulator was examined by the computer experiments for TM@i-2 accident, SBLOCA of Westinghouse type PWR plant and Prairie Island-1 accident. 4) We propose an AI manager system for the effective intergration of the safety parameters estimation method and accident tracking simulator. This system has following functions; a) accident detection and identification of the type of SBLOCA, b) management of accident tracking calculation and c) timely display of qualified informations.
Keywords
Details 詳細情報について
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- CRID
- 1040282257320599552
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- Text Lang
- ja
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- Data Source
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- KAKEN