Constellation proposes to partner with Oak Ridge National Laboratory (ORNL) to apply high-fidelity multiphysics modeling and high-performance computing to improve predictive understanding of MCO phenomena. ORNL will utilize the Virtual Environment for Reactor Applications (VERA) and complementary computational fluid dynamics simulations to analyze historical operating cycles and identify core- and bundle-level mechanisms driving carryover.
NuScale will partner with Oak Ridge National Laboratory (ORNL) to utilize the artificial intelligence (AI) enabled nuclear design framework for the 12-reactor design challenge by strategically exploring the vast design space and reducing the computational time required for the reactor simulations. ORNL has significant expertise in AI, fuel management, and computational resources. Reduced front end and back-end fuel costs can make nuclear energy more competitive in the marketplace.
Deep Fission will partner with Idaho National Laboratory (INL) to enhance its thermal hydraulics infrastructure using RELAP5-3D modeling. INL has unique expertise in developing thermomechanical and thermos-hydro-mechanical models in deep geological repositories for used nuclear fuel and geothermal applications involving deep hole drilling and heat extraction.
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.
NuScale will partner with Oak Ridge National Laboratory (ORNL) to perform a techno-economic analysis of a NuScale plant with a novel heat augmentation system for application to a commercial scale chemical production facility to help understand the functional requirements for the system and determine best ways to integrate with the facility.
The objective of this project is to enhance understanding of aqueous corrosion and hydrogen transport for Zr hydride formation in Cr-coated claddings, as a function of the Cr-coating deposition method (cold spray (CS) or physical vapor deposition (PVD)).
This project will address first-of-a-kind (FOAK) experimental post-irradiation examination (PIE) of irradiation-induced bowing response in SiC-SiC structures.
This Gateway for Accelerated Innovation in Nuclear voucher paired DYNAC Systems with Idaho National Laboratory to evaluate the company’s Dynamic Natural Convection (DNC) system.
This project focuses on the development, implementation, and initial validation of the STAR-CCM+® user-defined functionality for the two-fluid two-phase model (2F-2P). The focus will be on modeling two-phase boiling flow in realistic fuel-bundle geometries, including specific spacer geometries.
The objective of this project is to explore a number of advanced heterogenous fuel design concepts to improve the operational, safety, and economic performance of existing power plants.