Component Type

Type of component researched under approved GAIN NE Voucher

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Real-Time Generation Risk Assessment (GRA) Model for Commercial Nuclear Power Plant

Entergy will partner with Oak Ridge National Laboratory (ORNL) to implement real-time Generation Risk Assessment (GRA) modeling to address these issues. ORNL’s unique experience in implementing GRA models combined with the use of their Operational Performance Risk Assessment (OPRA) software will be used to integrate the model with real-time data. Entergy will roll out the model at one of its operating plants an if successful look to expand to other plants in their fleet.

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Confirm Product Quality Achieved by Using Electroreduction Technology to Convert GNF Provided Uranium Oxides to Metal

GNF will partner with Argonne National Laboratory (ANL) to perform to perform electroreduction tests on various uranium oxide samples to understand product quality and impurities such that GNF can determine if it’s feasible to adopt into metallic fuel manufacturing.

Confirm Product Quality Achieved by Using Electroreduction Technology to Convert GNF Provided Uranium Oxides to Metal Read More »

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Future Climate Projections for Dry and Wet Condenser Cooling Options

This project will evaluate potential climate impacts in the northwestern United States from climate models and use those results to model plant performance using various cooling options. The results will be used to determine the range of plant performance and cost distributions to help understand the factors that need to influence the selection of a ultimate heat sink for a nuclear reactor in the region.

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Horizontal Refueling and Remote Handling Design Review

The Remote Systems Group (RSG) at Oak Ridge National Laboratory (ORNL) will perform a three-stage design review focused on operations, the detailed design, and a failure modes and effects analysis. Their experience base is uniquely valuable to MIGHTR and In-Vesel Fuel Handling Machine (IVFHM) development. This project will mitigate the risk of operational complexity by reviewing a critical system.

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Improvements to Passive Heat Removal Systems in SAS4A/SASSYS-1

For this project, ARC will work with Argonne National Laboratory (ANL) to enhance the SAS modeling capabilities for passive heat removal systems, including the generic RVACS model and the DRACS heat exchanger models. These enhancements will enable ARC to recover safety margins and have a better representation of the system’s response during long-term cooling events.

Improvements to Passive Heat Removal Systems in SAS4A/SASSYS-1 Read More »

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