Energy Department Announces Call for Proposals for High Performance Computing for Energy Innovation
The U.S. Department of Energy (DOE) invites industry to submit proposals for Spring 2020 solicitation for high performance computing projects that improve manufacturing processes, address products’ lifecycle energy consumption, and increase the efficiency of energy conversion and storage technologies.
The Trump Administration has prioritized the use of high performance computing to solve critical national challenges. In March 2020, President Donald J. Trump announced the launch of the COVID-19 High Performance Computing Consortium to provide COVID-19 researchers worldwide with access to the world’s most powerful high performance computing resources that can significantly advance the pace of scientific discovery in the fight to stop the virus. This unique public-private consortium - spearheaded by the White House, DOE, and IBM - includes government, industry, and academic leaders. For additional information about the COVID-19 High Performance Computer Consortium, including information about how to submit a proposal for that program please follow visit the COVID-19 High Performance Computing Consortium website.
Strengthening the competitiveness of the U.S. manufacturing sector is a top priority for the Trump Administration and will be critical to America’s economic recovery,” said Alex Fitzsimmons, Deputy Assistant Secretary for Energy Efficiency. “DOE’s High Performance Computing for Manufacturing program allows industry to access advanced computing resources within the DOE National Laboratories to address key manufacturing challenges.”.
The HPC4Mfg Program is one component of the High Performance Computing for Energy Innovation (HPC4EI) initiative, which is led by Lawrence Livermore National Laboratory.
HPC4EI conducts two regular solicitations annually, one in the fall and one in the spring. The Spring 2020 solicitation invites qualified industry partners to participate in short-term, collaborative projects with DOE National Laboratories that address key manufacturing challenges by applying modeling, simulation, and data analysis. The solicitation will encourage applicants to partner with universities and non-profit organizations located within federally designated Opportunity Zones and/or Historically Black Colleges and Universities (HBCUs).
Eligibility for the program is limited to entities that manufacture products or operate systems in the U.S. for commercial applications and organizations that support them. Selected projects will be awarded up to $300,000 to support computing cycles and work performed by DOE National Laboratories, universities, and non-profit partners. All DOE National Laboratories are eligible to participate. The industry partner must provide a participant contribution of at least 20% of the total project funding.
DOE’s Advanced Manufacturing Office (AMO), within the Office of Energy Efficiency and Renewable Energy, is the primary sponsor of the High Performance Computing for Manufacturing program. AMO partners with private and public stakeholders to advance innovation in U.S. manufacturing and promote American economic growth and energy security.
Topics of interest specific to the office supporting this solicitation are below.
DOE’s Advanced Manufacturing Office(AMO) within Office of Energy Efficiency and Renewable Energy is the primary sponsor of the HPC4Mfg Program. FE and EERE’s VTO and Building Technologies Office (BTO) also sponsor select projects in this portfolio.
Of particular interest to AMO are:
- Improvements in manufacturing processes which result in significant national energy savings. Examples include:
- Process improvements in high-energy consuming industries such as paper and pulp, primary metal manufacturing, water and wastewater, glass and chemical industries;
- Improvements in material performance in harsh service environments such as very high temperature or highly corrosive processes;
- Integration of advanced object recognition and other machine learning algorithms (e.g. sortation, defect detection) into high throughput industrial processes;
- Improvements in modeling prediction and closed-loop control for smart manufacturing systems (e.g. advanced sensors and process controls); and
- Improvements in separation and processing for critical materials (e.g. rare earth elements).
- Improvements in the lifecycle energy consumption of products of interest to AMO. Examples include:
- Improvement in jet engine efficiency could save significant energy over the lifecycle of the engine;
- Improved materials and shape optimization for light-weighting in transport technologies;
- Semiconductor electrical efficiency; and
- Increased recycling and reuse of end-of-life and waste associated with industrial-scale materials production and processing.
- Efficiency improvements in energy conversion and storage technologies. Examples include:
- Improvements in combined heat and power units which save significant energy;
- Novel energy storage and energy conversion techniques; and
- Improvements in waste heat recovery.