NRC 31310023K0002: 2023 Research and Development Grant
No applicants // Limit: 2 // Tickets Available: 2
UArizona may submit no more than two (2) applications in response to this announcement.
The program provides funding to support research and development (R&D) for nuclear science, engineering, technology, and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. University R&D activities provide an opportunity to complement current, ongoing NRC-led research.
More specifically, the program shall be used to provide financial assistance for R&D projects relevant to the programmatic mission of the NRC referenced above, with an emphasis on providing financial assistance with respect to research, development, demonstration, and commercial application of new and advanced nuclear technologies. New this year, non-technical research will be considered under this announcement (for example, projects that would foster the development of innovative community engagement strategies, including incorporation of principles of equity and environmental justice).
The estimated budget for this program is $6,000,000.00 for a project period of three years.
Areas of interest include, but are not limited to:
• Application of wireless communications, drones, robotics, and autonomous control in operations and maintenance activities;
• Digital engineering/analytics, advanced sensors, and digital instrumentation/controls at nuclear facilities;
• Evaluation of technical gaps and major uncertainties in assessing risk for operating, new and advanced reactors (e.g., modeling of complex dependencies, advanced calculation techniques, multi-unit and multi-moule risk, application of risk techniques to radiological consequence analysis, development of improved risk metrics);
• Human and organizational factors and human reliability analysis for advanced nuclear applications, (e.g., improved models for dependency, consideration of organizational factors, dynamic methods, and risk analysis).
• Characterization of fire hazards in new reactor designs (e.g., sodium) and post-fire safe shutdown capability;
• Characterization of natural hazards including but not limited to flooding, high winds, hurricanes, wildfires, climate change;
• Analysis models and methods for fuel and cladding performance;
• Advanced technology approaches (e.g., data and text analytics, data visualization techniques, and artificial intelligence) and applications (e.g., data mining, autonomous control) in nuclear power-related applications; Evaluation of the radiological releases and offsite consequences for fusion reactor accidents;
• Application of innovative and advanced technologies for decommissioning and remediation of radiologically contaminated sites;
• Evaluation of the technical gaps and uncertainties in licensing new veterinary and medical uses of byproduct materials;
• Analytical approaches that combine probabilistic risk assessment (PRA) risk quantification methods with reactor systems sensitivity or uncertainty analysis methods to quantify the risk significance of safety analysis errors or uncertainties; Performance-based technology-neutral safety assurance;
• Evaluation of technical gaps and major uncertainties in assessing risk for decommissioning and waste management; and
• Comparative analysis, consistencies, and harmonization in application of dosimetry and dose coefficients