Implementation of New Reactivity Measurement System and New Reactor Noise Analysis Equipment in a VVER-440 Nuclear Power Plant
| Autor: | S. Lipcsei, S. Kiss, János Végh, G. Kiss, I. Pós, Cs. Horvath |
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| Rok vydání: | 2010 |
| Předmět: |
Nuclear and High Energy Physics
Engineering Noise measurement Noise (signal processing) business.industry System of measurement Nuclear engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS Inductor Temperature measurement Portable computer law.invention Noise Data acquisition Nuclear Energy and Engineering law Nuclear power plant Electronic engineering Environmental science Anomaly detection Electrical and Electronic Engineering VVER business |
| Zdroj: | IEEE Transactions on Nuclear Science. 57:2689-2696 |
| ISSN: | 1558-1578 0018-9499 |
| DOI: | 10.1109/tns.2010.2053384 |
| Popis: | The paper deals with two recently developed, high-precision nuclear measurement systems installed at the VVER-440 units of the Hungarian Paks NPP. Both developments were motivated by the reactor power increase to 108%, and by the planned plant service time extension. The first part describes the RMR start-up reactivity measurement system with advanced services. High-precision picoampere meters were installed at each reactor unit and measured ionization chamber current signals are handled by a portable computer providing data acquisition and on-line reactivity calculation service. Detailed off-line evaluation and analysis of reactor start-up measurements can be performed on the portable unit, too. The second part of the paper describes a new reactor noise diagnostics system using state-of-the-art data acquisition hardware and signal processing methods. Details of the new reactor noise measurement evaluation software are also outlined. Noise diagnostics at Paks NPP is a standard tool for core anomaly detection and for long-term noise trend monitoring. Regular application of these systems is illustrated by real plant data, e.g. results of standard reactivity measurements during a reactor startup session are given. Noise applications are also illustrated by real plant measurements, results of core anomaly detection are presented. |
| Databáze: | OpenAIRE |
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