Description
On July 25, the U.S. Department of Energy (DOE) announced $3 million in federal funding for 10 high-performance computing projects that advance cutting-edge manufacturing and clean energy technologies. As part of the High Performance Computing for Energy Innovation (HPC4EI ) initiative, the selected project teams will leverage the expertise and high-performance computing capabilities of our national laboratories to improve manufacturing efficiency and explore new materials for clean energy application through state-of-the-art modeling, simulation, and data analysis.
HPC4EI is the umbrella initiative for the High Performance Computing for Manufacturing (HPC4Mfg) program and High Performance Computing for Materials (HPC4Mtls) program.
Through DOE’s HPC4Mfg program, manufacturing companies work with the world’s most powerful supercomputers and the national laboratory experts who operate them to solve today’s toughest manufacturing challenges.
The HPC4Mtls program works with industry partners to apply HPC-based solutions to bolster the domestic materials supply chain needed for energy applications, including reduced material costs or improved carbon capture for power plants or clean hydrogen.
HPC4Mfg is funded by the Office of Energy Efficiency and Renewable Energy’s Advanced Manufacturing Office. HPC4Mtls is funded by the Office of Fossil Energy and Carbon Management. HPC4EI is managed by Lawrence Livermore National Laboratory.
All Selectees
| PROGRAM | PROJECT TITLE | COMPANY | LOCATION | DESCRIPTION | DOE FUNDING |
| HPC4Mfg | HPC Modeling of Rapid Infrared Sintering for Low Cost, Efficient Solid Oxide Electrolyzer Cell Manufacturing | Redox Power Systems | Beltsville, MD | Redox Power Systems and Oak Ridge National Laboratory aim to use high-performance computing to reduce the energy and cost in the manufacturing of Solid Oxide Electrolyzer Cells, which convert steam into hydrogen by modeling sintering using pulse thermal processing. This technology can drive down cell cost, increase throughput, enhance properties, and improve manufacturing energy efficiency. | $300,000 |
| HPC4Mfg | Computational Modeling of Cost-Effective Carbon Capture Technologies on Industrial Gas Turbines to Reduce CO2 Emission | Solar Turbines Inc. | San Diego, CA | Using Argonne National Laboratory's high-performance computing for computational fluid dynamics modeling, Solar Turbines Inc. will improve the performance of an Exhaust Gas Recirculation carbon capture system designed for small industrial turbines. This technology can significantly reduce the capital and operating costs of CO2 removal by commercially available CO2 removal technologies. | $300,000 |
| HPC4Mfg | Develop a New Integrated Macro→Micro←Nano Multiscale Modeling Framework to Optimize High-Strength Aluminum Alloys and Processes for Vehicle Lightweighting | Ford | Dearborn, MI | Oak Ridge National Laboratory and Ford will collaborate to use high-performance computing to model high-strength automotive aluminum sheet alloys in bending tests to infer rivet-ability for lightweighting. Lightweighting of Ford vehicles would lead to greater fuel efficiency and reduced manufacturing time and energy use. | $300,000 |
| HPC4Mfg | HPC for Optimizing Process Parameters to Control Material Evolution in Seamless Induction Hardening of Wind Turbine Main Shaft Bearings | The Timken Co. | North Canton, OH | The Timken Co. and Oak Ridge National Laboratory will develop high-performance computing simulations to study seamless induction hardening (SIH) for wind turbine main shaft bearings. The small footprint, reduced energy consumption and low lead times for SIH make it an ideal solution for the anticipated growth of the global wind turbine market. | $300,000 |
| HPC4Mfg | High-Performance Computing for Secondary Lead Furnace Process Optimization | Gopher Resource LLC - Phase II | Tampa, FL | In a Phase II project, Gopher Resource LLC and Oak Ridge National Laboratory will continue their successful partnership to improve multiphysics modeling of secondary lead furnaces for environmental and energy efficiency. Improvements in furnace thermal efficiency can result in energy savings of up to 750 billion Btu per year and at least half a million tonnes of carbon dioxide emissions, leading to a total cost savings of $30 million per year for the lead industry. | $300,000 |
| HPC4Mfg | Optimization of Scalable AEM Electrolyzer for Hydrogen Production Efficiency and Lifetime using 3D Device-Level Continuum Model | EvolOH Inc. | Palo Alto, CA | EvolOH Inc. will utilize Lawrence Berkeley National Laboratory's high-performance computing capabilities and expertise to design an anion-exchange-membrane electrolyzer for optimal performance and best durability to produce clean hydrogen. | $300,000 |
| HPC4Mfg | Mixing Equipment Optimization using Computational Fluid Dynamics and Machine Learning | Dow Chemical Co. | Lake Jackson, TX | Dow Chemical Co. will combine Argonne National Laboratory's modeling and machine learning capabilities to improve nozzle design for jet mixing in chemical manufacturing processes. | $300,000 |
| HPC4Mtls | Materials Reliability Quantification for Efficient Hydrogen-Fueled Gas Turbines for the Energy Transition | Siemens Energy Inc. | Charlotte, NC | Using high-performance computing to understand creep performance in turbine materials at Oak Ridge National Laboratory, Siemens Energy Inc. will work to establish a framework for determining safe operating windows for hydrogen-fueled gas turbine engines. Results will be incorporated into Siemens’ models to accelerate adoption of efficient hydrogen fueled engines. | $300,000 |
| HPC4Mtls | Manufacturable High Toughness, Low Thermal Conductivity, Thermal Barrier Materials for Hydrogen Combustion Turbines | Praxair Surface Technologies | Indianapolis, ID | Praxair Surface Technologies will partner with National Energy Technologies Laboratory to expand the manufacturability and performance of a low conductivity/high toughness candidate thermal barrier material to enable its performance in 100% hydrogen fueled power generation. | $300,000 |
| HPC4Mtls | Carbon Nanospike Based Photoelectrochemical CO2 Conversion | Reactwell LLC | Knoxville, TN | Reactwell LLC and Oak Ridge National Laboratory will develop first principles and machine learning based approach to nitrogen-doped carbon nanospikes with metal nanoparticles in search of features that can improve efficiency of photoelectrochemical conversion of CO2 to ethanol. | $300,000 |
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