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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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Latest News
Federal Power Act amendments focus on grid reliability
Fedorchak
North Dakota’s sole member of the U.S. House of Representatives, Republican freshman Congresswoman Julie Fedorchak, has introduced the Baseload Reliability Protection Act.
The bill aims to “amend the Federal Power Act to prohibit retirements of baseload electric generating units in any area that is served by a Regional Transmission Organization or an Independent System Operator and that the North American Electric Reliability Corporation [NERC] categorizes as at elevated risk or high risk of electricity supply shortfalls, and for other purposes.”
A summary of the legislation is available on Fedorchak’s House website.
Amendments: The Baseload Reliability Protection Act would amend the Federal Power Act in the following ways:
Elvan Sahin, Victor C. Leite, Kyung M. Kim, Nick Burns, Juliana Pacheco Duarte
Nuclear Science and Engineering | Volume 197 | Number 11 | November 2023 | Pages 2800-2817
PSA 2021 Paper | doi.org/10.1080/00295639.2022.2151300
Articles are hosted by Taylor and Francis Online.
The Fukushima Daiichi accident prompted the nuclear community to find a new solution to reduce the risk in nuclear power plants (NPPs) due to beyond-design-basis external events (BDBEEs). An implementation guide for diverse and flexible coping strategies (FLEX) has been presented by the Nuclear Energy Institute to manage the challenges of BDBEEs and enhance reactor safety. Due to the uniqueness of the FLEX systems, these systems can potentially carry dependencies among components not commonly modeled in NPPs. In this study, we investigate the effectiveness and applicability of both Bayesian networks (BNs) and discrete-time Bayesian networks in the reliability analysis of FLEX equipment. The study compares BNs with two other reliability assessment methods: fault tree and Markov chain. These methods are also shown to be capable of mapping into BNs to perform a reliability analysis of FLEX systems. A neutral dependency algorithm is used to simplify the conditional probability tables and reduce the complexity of the BNs. The results indicate that BNs are not only a powerful method for modeling FLEX strategies but are also effective techniques for inclusion of the dynamics of FLEX equipment in probabilistic risk analysis.