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Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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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Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
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.
