Modeling & Simulation work researched under a GAIN NE Voucher
Aalo will work with INL to expand EMRALD’s modeling and simulation capabilities so Aalo can optimize reactor design, economics, and operational reliability. INL developed the EMRALD dynamic risk assessment software and has extensive expertise in advanced reactor modeling, reliability analysis, and microreactor development.
Development of EMRALD Modifications to Support Economic GRA and DDC Read More »
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.
Investigating Moisture Carryover Behavior Read More »
NANO proposes to partner with Oak Ridge National Laboratory (ORNL) to apply the SCALE/TSUNAMI code suite to quantify the impact of nuclear data, modeling assumptions, and operational parameters on key reactor physics metrics, including reactivity, power distribution, and temperature coefficients. ORNL’s NRC-recognized analytical tools and expertise will enable development of a validated UQ framework tailored to the KRONOS design.
Uncertainty Quantification and Sensitivity Analysis Support Read More »
NuCube proposes to partner with Argonne National Laboratory (ANL) to verify an autonomous control architecture using a Digital Twin of the DeccaCell reactor. ANL will adapt its existing autonomous operation and diagnostics framework to demonstrate automated startup, remote monitoring, islanding-mode transitions, and predictive maintenance within a validated simulation environment. The project will generate a technically defensible basis for reduced staffing models and support future DOE and NRC licensing engagement.
Verification of Autonomous Operation and Remote Monitoring Capabilities Read More »
Idaho National Laboratory (INL) has developed state-of-the-art modeling and simulation tools for advanced TRISO particle-based fuels using BISON code. AT will partner with INL to extend the BISON fuel-performance code so it can practically model 3D TRISO particle distributions in UCO TRISO compacts, capturing particle–particle and particle–matrix interactions needed for supporting commercial operations of BWXT’s TRISO fuel for the nuclear industry.
Modeling of Realistic Spatially Resolved 3D TRISO Particles in Compact Read More »
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.
AI-Guided Fuel Management for a 12-Unit Small Modular Nuclear Plant Read More »
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.
NuCube will partner with Idaho National Laboratory (INL) to receive assistance in computational analysis of the heat exchanger design. INL has developed a code to optimize high temperature heat exchangers for both installation and operating costs and has validated that code for conventional shell and tube heat exchangers. This analysis will allow NuCube to assess the performance of the heat exchanger and support an optimized design prior to finalization of the detailed design and fabrication to support a demonstration project.
Heat Exchanger Evaluation, NuCube Energy Read More »
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.
Future Climate Projections for Dry and Wet Condenser Cooling Options, Energy Northwest Read More »
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, ARC Clean Technology Read More »
