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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Vogtle-3 shuts down for valve issue
One of the new Vogtle units in Georgia was shut down unexpectedly on Monday last week for a valve issue that has since been investigated and repaired. According to multiple local news outlets, Georgia Power reported on July 17 that Unit 3 was back in service.
Southern Company spokesperson Jacob Hawkins confirmed that Vogtle-3 went off line at 9:25 p.m. local time on July 8 “due to lowering water levels in the steam generators caused by a valve issue on one of the three main feedwater pumps.”
José Enrique Gilabert, Jesús La Parra, Mateo Ramos (Tecnatom), Cristian Marciulescu (EPRI)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 1170-1178
The main objective of an Alarm Management System (AMS) is the reduction of the operator alarm overload that is present in the advanced alarm systems currently being installed in new plant project applications, by identifying and presenting only those alarms with high operational value and important information that require an operator immediate action to address the alarm source. The main issues about AMS are the great number of defined alarms (especially in digital I&C systems) and the lack of distinction between informational notices and true alarms (especially overwhelming during normal, non-emergency events). As a result, “avalanches” of alarms occur during events, complicating and delaying the plant safety status identification while increasing the operator´s workload and cognitive stress. In order to achieve the desired reduction of the operator workload alarm overload in existing and upcoming new plants, a methodology and a software application have been developed to focus into two principal processes: the prioritization and the application of filtering techniques. The alarm generation is supposed already defined by the plant and the presentation is dependent on the selected platform. The proposed scheme applies a prioritization process (static and dynamic) that organizes the alarms according to their severity and subsequently, followed by several filtering techniques that reduce the number of alarms shown to the operator. The static prioritization analyzes qualitatively and quantitatively each individual alarm considering its severity and available response time. The dynamic prioritization modifies this value depending on its relevance during the current plant operating condition (combination of a plant operating mode and an event). Once the alarms have been prioritized, they are classified by means of automatic filtering techniques so that only those significant for the ongoing plant operating condition are showed to the operator as “important” thus reducing the associated workload and cognitive stress. EPRI, through its Advanced Nuclear Technologies (ANT) program, sponsored this research project designed to test and validate this methodology and to demonstrate the improvement of the operator´s awareness and understanding of alarm status. This paper reflects the main results of this research project conducted between May 2017 and October 2018.