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"Nuclear fuels Security measures."
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A new approach to the nuclear fuel cycle : best practices for security, nonproliferation, and sustainable nuclear energy
\"In the past decade, a resurgence of enthusiasm for nuclear power has rekindled interest in efforts to manage the fuel cycle. The 2011 accident at the Fukushima Daiichi nuclear power plants in Japan and current proliferation crises in North Korea and Iran raise this question: Is the current approach on the fuel cycle -- leaving uranium enrichment and spent fuel reprocessing capabilities in the hands of national governments -- too risky on proliferation grounds? In early 2011, the Nuclear Threat Initiative and the Center for Strategic and International Studies launched the New Approaches to the Fuel Cycle (NAFC) project. This project, led by Corey Hinderstein and Sharon Squassoni, sought to build consensus on common goals,address practical challenges, and engage a spectrum of actors who influence nuclear energy policymaking. Drawing from industry, government, and NGO community expertise in the United States and abroad, the NAFC project worked to outline a vision for an integrated approach to nuclear supply and demand. The result, presented in this report, is the first comprehensive approach that contains guidelines for shaping a sustainable nuclear supply system and leverages existing trends in nuclear industry, with 'best practices' to help implement that sustainable system\"--Publisher's web site.
Book
Unmaking the Bomb
Achieving nuclear disarmament, stopping nuclear proliferation, and preventing nuclear terrorism are among the most critical challenges facing the world today.Unmaking the Bombproposes a new approach to reaching these long-held goals. Rather than considering them as separate issues, the authors -- physicists and experts on nuclear security -- argue that all three of these goals can be understood and realized together if we focus on the production, stockpiling, and disposal of plutonium and highly enriched uranium -- the fissile materials that are the key ingredients used to make nuclear weapons. The authors describe the history, production, national stockpiles, and current military and civilian uses of plutonium and highly enriched uranium, and propose policies aimed at reducing and eventually eliminating these fissile materials worldwide. These include an end to the production of highly enriched uranium and plutonium for weapons, an end to their use as reactor fuels, and the verified elimination of all national stockpiles.
eBook
A new approach to the nuclear fuel cycle
The Nuclear Threat Initiative and the Center for Strategic and International Studies joined to launch the New Approaches to the Fuel Cycle project. This project sought to build consensus on common goals, address practical challenges, and engage a spectrum of actors that influence policymaking regarding the nuclear fuel cycle. The project also tackled one of the toughest issues—spent nuclear fuel and high level waste—to see if solutions there might offer incentives to states on the front end of the nuclear fuel cycle and address the inherent inertia and concerns about additional burdens and restrictions that have stalled past efforts to improve the robustness of the nonproliferation regime. This report presents the group’s conclusions that a best-practices approach to the nuclear fuel cycle can achieve these objectives and offer a path to a more secure and sustainable nuclear landscape.
eBook
Enforcing International Standards: Protecting Nuclear Materials From Terrorists Post-9/11
For a long time, how nuclear facilities were protected from terrorists and thieves has been largely the prerogative of the facilities themselves or individual governments.1 But the September 11 terrorist attacks and statements by Osama bin Laden have raised new concerns about preventing terrorists from stealing or attacking nuclear material that is often not well protected. Given the current state of physical protection efforts around the world, having the Security Council involved in raising standards to prevent terrorists and thieves from acquiring nuclear material at peaceful nuclear facilities such as power and research reactors could be a useful next step for the protection of these facilities.
Magazine Article
Radiation Characteristics and Safety Assessment of the BN-350 Fast Reactor’s Spent Nuclear Fuel Model Under Long-Term Dry Storage Conditions
During the decommissioning of the BN-350 reactor, the spent nuclear fuel (SNF) was transferred to long-term dry storage in TUK-123 transport and storage cask systems designed for transportation and long-term storage with a design service life of approximately 50 years. The TUK-123 system consists of a UKKh-123 storage package, which is a sealed metal-concrete cask (MCC), and a protective-damping cover (PDC) used only during transportation. Radiation characteristics are a key quantitative criterion for assessing the safety of long-term storage in the absence of direct access to fuel and cask components. This paper presents the results of a computational study of the radiation characteristics of BN-350 SNF under dry storage conditions as of 1 January 2025. Spatial distributions of the ambient dose equivalent rate were determined for normal storage conditions and for accident scenarios involving partial failure of fuel assembly (FA) canisters and fuel redistribution. It was established that in the near-field region, the dose fields are formed predominantly by long-lived fission products and activation nuclides, whereas the neutron contribution is determined mainly by the spontaneous fission of actinides and (α, n) reactions. The results obtained provide a quantitative basis for assessing the radiation safety of long-term BN-350 SNF dry storage.
Journal Article
A possible novel method in nuclear forensics: positron annihilation spectroscopy
Positron Annihilation Spectroscopy (PAS) is a non-destructive technique used mostly in material science for studying open spaces/free volumes in materials. In this work, several different nuclear materials originating from the nuclear fuel cycle or round-robin exercises are analyzed by PAS. Our goal was, as for a first test of applicability, to check whether the technique is potentially suitable in a nuclear forensic examination for origin assessment of nuclear materials in order to support investigation. The results, presented below are promising and can certainly be further improved by analyzing larger sets of samples.
Journal Article
Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review
The importance of and need for cyber security have increased in the last decade. The critical infrastructure of the country, modeled with cyber-physical systems (CPS), is becoming vulnerable because of a lack of efficient safety measures. Attackers are becoming more innovative, and attacks are becoming undetectable, thereby causing huge risks to these systems. In this scenario, intelligent and evolving detection methods should be introduced to replace basic and outworn methods. The ability of artificial intelligence (AI) to analyze data and predict outcomes has created an opportunity for researchers to explore the power of AI in cyber security. This article discusses new-age intelligence and smart techniques such as pattern recognition models, deep neural networks, generative adversarial networks, and reinforcement learning for cyber security in CPS. The differences between the traditional security methods used in information technology and the security methods used in CPS are analyzed, and the need for a transition into intelligent methods is discussed in detail. A deep neural network-based controller that detects and mitigates cyber attacks is designed for microgrid systems. As a case study, a stealthy local covert attack that overcomes the existing microgrid protection is modeled. The ability of the DNN controller to detect and mitigate the SLCA is observed. The experiment is performed in a simulation and also in real-time to analyze the effectiveness of AI in cyber security.
Journal Article
Fault Diagnosis Techniques for Nuclear Power Plants: A Review from the Artificial Intelligence Perspective
Fault diagnosis plays an important role in complex and safety-critical systems such as nuclear power plants (NPPs). With the development of artificial intelligence (AI), extensive research has been carried out for fast and efficient fault diagnosis based on intelligent methods. This paper presents a review of various AI-based system-level fault diagnosis methods for NPPs. We first discuss the development history of AI. Based on this exposition, AI-based fault diagnosis techniques are classified into knowledge-driven and data-driven approaches. For knowledge-driven methods, we discuss both the early if–then-based fault diagnosis techniques and the current new theory-based ones. The principles, application, and comparative analysis of the representative methods are systematically described. For data-driven strategies, we discuss single-algorithm-based techniques such as ANN, SVM, PCA, DT, and clustering, as well as hybrid techniques that combine algorithms together. The advantages and disadvantages of both knowledge-driven and data-driven methods are compared, illustrating the tendency to combine the two approaches. Finally, we provide some possible future research directions and suggestions.
Journal Article
Emergency Decision Support Techniques for Nuclear Power Plants: Current State, Challenges, and Future Trends
Emergency decision support techniques play an important role in complex and safety-critical systems such as nuclear power plants (NPPs). Emergency decision-making is not a single method but a framework comprising a combination of various technologies. This paper presents a review of various methods for emergency decision support systems in NPPs. We first discuss the theoretical foundations of nuclear power plant emergency decision support technologies. Based on this exposition, the key technologies of emergency decision support systems in NPPs are presented, including training operators in emergency management, risk assessment, fault detection and diagnosis, multi-criteria decision support, and accident consequence assessment. The principles, application, and comparative analysis of these methods are systematically described. Additionally, we present an overview of emergency decision support systems in NPPs across different countries and feature profiles of prominent systems like the Real-Time Online Decision Support System for Nuclear Emergencies (RODOS), the Accident Reporting and Guiding Operational System (ARGOS), and the Decision Support Tool for Severe Accidents (Severa). Then, the existing challenges and issues in this field are summarized, including the need for better integration of risk assessment, methods to enhance education and training, the acceleration of simulation calculations, the application of large language models, and international cooperation. Finally, we propose a new decision support system that integrates Level 1, 2, and 3 probabilistic safety assessment for emergency management in NPPs.
Journal Article