SPECIAL NOTICE
99 -- HPC4EnergyInnovation Program: Collaborations for U.S. Manufacturers
- Notice Date
- 11/19/2020 6:59:45 AM
- Notice Type
- Special Notice
- Contracting Office
- LLNS � DOE CONTRACTOR Livermore CA 94551 USA
- ZIP Code
- 94551
- Solicitation Number
- FBO498-21
- Response Due
- 4/18/2021 9:00:00 PM
- Archive Date
- 04/20/2021
- Point of Contact
- Connie Pitcock, Phone: 925-422-1072, Robin Miles, Phone: 925-422-8872
- E-Mail Address
-
pitcock1@llnl.gov, miles7@llnl.gov
(pitcock1@llnl.gov, miles7@llnl.gov)
- Description
- The High Performance Computing for Energy Innovation (HPC4EI) Program seeks qualified industry partners to participate in short-term, collaborative projects with the Department of Energy�s (DOE) National Laboratories. HPC4EI is the umbrella initiative for the HPC4Manufacturing (HPC4Mfg), HPC4Materials (HPC4Mtls), and HPC4Mobility programs. This solicitation is sponsored by the HPC4Manufacturing and HPC4Materials Programs. Through support from the Office of Energy Efficiency and Renewable Energy�s (EERE) Advanced Manufacturing Office (AMO) and support from the Office of Fossil Energy the selected industry partners will be granted access to high performance computing (HPC) facilities and world-class scientists at DOE�s National Laboratories. The Department of Energy�s HPC4Mfg Program is interested in establishing collaborations that address key energy-related challenges for domestic manufacturers. By applying advanced modeling, simulation, and data analysis, these projects will improve energy efficiency, increase productivity, reduce cycle time, enable next-generation technologies, investigate intensified processes, lower energy cost, and accelerate innovation. The HPC4Mtls Program is interested in collaborations that address key challenges in developing, modifying, and/or qualifying new or modified materials that perform well in severe or complex environments through the application of HPC, modeling, simulation, and data analysis. Eligibility for the HPC4Mfg Program is limited to entities that manufacture in the United States for commercial applications and the organizations that support them. Eligibility for the HPC4Mtls Program is limited to entities that develop materials in the United States for relevant commercial applications and the organizations that support them. Applicants are highly encouraged to partner with universities and non-profit organizations located within federally-designated Opportunity Zones and/or Historically Black Colleges and Universities (HBCU). Additionally, the proposed project must be executed in the United States. Selected demonstration projects will be awarded up to $300,000 to support compute cycles and work performed by the National Laboratory partners. The industry partner must provide a participant contribution of at least 20% of the total project funding for the project. The industry contribution must come from non-federal funding sources. In addition, follow-on projects to previously awarded, successful demonstration projects in these areas will be considered. These projects should focus on the further implementation of the demonstrated HPC application in the industrial setting - taking it closer to operational use and broad national impact. Selected follow-on projects will be awarded up to $300,000 to support computing cycles and work performed by the National Laboratory, university and non-profit partners. The industry partner must provide a participant contribution of at least 33.3% of the total project funding; of this, at least half must be in cash to support the National Laboratory work. Background DOE maintains world-class HPC expertise and facilities, currently hosting four of the top 15 most powerful computers in the world as ranked by TOP500 in June 2020. From detailed subatomic-level simulations to massive cosmological studies, researchers use HPC to probe science and technology questions inaccessible by experimental methods. Scientific insights gained from these computational studies have drastically impacted research and technology across industrial sectors and scientific fields. Examples include additive manufacturing, aerospace, oil recovery, drug development, climate science, genomics, and exploration of fundamental particles that make up our universe. From industry to academia, the scientific need for advanced computing continues to drive innovation and development for future high performance computers and their capabilities. There is high potential for U.S. industry to utilize the power of HPC. The HPC4EI Program is intended to provide HPC expertise and resources to industry to lower the risk of HPC adoption and broaden its use to support transformational and early-stage technology development. The HPC4EI Program hopes to provide this HPC expertise by supporting targeted collaborations between industry and DOE�s National Laboratories. Successful applicants will work collaboratively with staff from one or more of the DOE National Laboratories to conduct project activities across the various HPC areas of expertise, including development and optimization of modeling and simulation codes, porting and scaling of applications, application of data analytics, as well as applied research and development of tools or methods. To make the broadest impact across the industry, the project teams are expected to present their results at workshops associated with the program and at regional and national conferences. Publications are also encouraged. Area 1: HPC4Mfg DOE�s Advanced Manufacturing Office within the Office of Energy Efficiency and Renewable Energy is the primary sponsor of the HPC4Mfg Program. The Office of Fossil Energy and EERE�s other Technology Offices may also sponsor select projects in this portfolio. AMO partners with private and public stakeholders to support the research, development, and deployment of innovative technologies that can improve U.S. competitiveness, save energy, and ensure global leadership in advanced manufacturing. AMO supports cost-shared research, development, and demonstration activities in support of crosscutting next-generation technologies and processes that hold high potential to significantly improve energy efficiency and reduce energy-related emissions, industrial waste, and the life?cycle energy consumption of manufactured products. Improved energy efficiency across the manufacturing industry is one of the primary goals of the HPC4Mfg Program. The program solicits proposals that require HPC modeling and simulation to overcome impactful manufacturing process challenges resulting in reduced energy consumption and/or increased productivity. Proposals should provide a realistic assessment of the energy impact, the improvement in U.S. manufacturing competitiveness, and the increase in U.S. manufacturing jobs that a successful outcome of the project could have across the industrial sector. Of particular interest to AMO are: � Improvements in manufacturing processes which result in significant national energy savings. Examples include: a. Process improvements in high-energy consuming industries such as paper and pulp, primary metal manufacturing, water and wastewater, glass and chemical industries; b. Improvements in material performance in harsh service environments such as very high temperature or highly corrosive processes; c. Integration of advanced object recognition and other machine learning algorithms (e.g. sortation, defect detection) into high throughput industrial processes; d. Improvements in modeling prediction and closed-loop control for smart manufacturing systems (e.g. advanced sensors and process controls); and e. 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: a. Improvement in jet engine efficiency could save significant energy over the lifecycle of the engine; b. Improved materials and shape optimization for light-weighting in transport technologies; c. Semiconductor electrical efficiency; and d. 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: a. Improvements in combined heat and power units which save significant energy; b. Novel energy storage and energy conversion techniques; and c. Improvements in waste heat recovery. Area 2: HPC4Mtls DOE�s Office of Fossil Energy is the primary sponsor for this HPC4Mtls Program. FE plays a key role in helping the United States meet its continually growing need for secure, reasonably priced, and environmentally sound energy from our abundant fossil energy resources. The Office of Fossil Energy Research and Development (FER&D) Program advances transformative science and innovative technologies that enable the reliable, efficient, affordable, and environmentally sound use of fossil fuels. Decarbonization of the power and industrial sectors is of renewed interest, and hydrogen is expected to play a role in decarbonizing these sectors. As fossil energy is the source of >95% of hydrogen worldwide and in the U.S., FE technologies in hydrogen production and utilization will play a major role. FE partners with industry, academia, national labs, and research facilities in transformative science and innovative technologies that enable the reliable, efficient, affordable, and environmentally sound use of fossil fuels. FE supports cost?shared research, development, and demonstration activities in support of crosscutting next-generation technologies and processes that further the development of advanced fossil technologies. Proposals should provide a realistic assessment of the benefits to the domestic materials supply chain and/or fossil energy application (e.g. power plant). Of particular interest to FE in this solicitation are: � Improving the understanding of the materials impacts including corrosion and erosion effects of gasification of blends of coal, biomass and waste plastics on materials in high temperature regions of a gasifier, including sensitivity analysis of blend percentages and types of coal, biomass and waste plastics in the process feed � Improving the understanding of the material impacts including hydrogen embrittlement effects of blends of natural gas and hydrogen on materials in pipelines, welded joints or compressors, including sensitivity analysis of blend percentages � Use of computational databases and machine learning for thermal barrier coating (TBC) development for hot gas path components of combustion turbines firing natural gas-hydrogen blends or 100% hydrogen � Improving the understanding of detailed processes in critical focus areas such as oxidation, corrosion, and electrochemical interactions in Creep Strength Enhanced Ferritic (CSEF) alloys, austenitic alloys and high nickel superalloys � Use of computational databases and machine learning for catalyst development to synthesize, test, characterize, and scale materials which convert carbon oxides into value-added products with increased energy efficiency, higher selectivity, and lower environmental impacts based on a lifecycle analysis relative to conventional products � Developing machine learning capabilities to predict composition, thermal performance, and mechanical properties of new materials for energy storage � Developing the capability to predict the mechanical behavior and properties of additively manufactured components for use in advanced power cycles such as supercritical carbon dioxide cycles 1. Materials Supply Chain for Fossil Energy Applications: � Reducing the cost of ingot production for nickel superalloys suitable for fossil energy applications � Improving high-temperature mechanical performance for lower-cost alloys as compared with more costly, high nickel/cobalt alloys � Overcoming barriers to scale up new material production from grams to kilograms, and from kilograms to tonnes � Overcoming barriers to the manufacture of components with High Entropy Alloys (HEA) � Improving speed and quality of welding and other advanced joining methods for nickel superalloys � Advanced manufacturing of components for fossil energy applications, particularly for repair of existing plant components and modular fabrication of new plants � Machine learning within the supply chain to lower costs and improve productivity 2. Existing and New Power Plant Applications: � Predicting material behavior in specific severe environments, such as high-temperature, cyclic, or oxidative/corrosive, erosive environments, found in coal gasification systems � Development of coatings, claddings, and other surface treatments to mitigate oxidation, corrosion, and erosion of high-temperature components � AI applications for monitoring and diagnostics of power plants focused on materials failures such as calculating remaining useful life of components or pattern recognition � Analysis of thermal fatigue-driven failures, particularly in coal-fired boilers and natural gas combined cycle heat recovery steam generators, to develop and/or validate remaining life predictive tools. � Improving reliability of dissimilar welds between CSEF alloys, austenitic alloys and/or high nickel superalloys � Overcoming barriers to the manufacture of components for fuel cells � Developing machine learning capabilities to identify promising new materials for non-battery energy storage technologies that can integrate with fossil energy power generating units Eligibility Eligibility is limited to U.S. manufacturers, defined as entities that are incorporated (or otherwise formed) under the laws of a particular state or territory of the United States, and that manufacture products in the United States or that manufacture, distribute, or otherwise deploy software and hardware systems as described above or that develop and/or manufacture new or modified materials in the United States. Project work must be executed in the United States. U.S. universities, institutes, and other non-profit organizations are also eligible to participate as collaborators. Applicants are highly encouraged to partner with universities and non-profit organizations located within federally-designated Opportunity Zones and/or Historically Black Colleges and Universities (HBCU). Funding for university and/or non-profit participants may be provided by the National Laboratory or the industrial partner. Funding provided to a university and/or non-profit by the industrial partner can be considered a component of the industrial partner�s in-kind funding contribution. An entity may only submit one Concept Paper and one Full Application for each Sub-Topic area of this solicitation. That is, one per HPC4Mfg (Area 1) and one per HPC4Mts (Area 2). If an entity submits more than one Concept Paper and one Full Application to the same Sub-Topic area, a determination from the applicant�s authorizing representative as to which application should be reviewed will be requested. Any other submissions received listing the same entity as the applicant for the same Sub-Topic area will not be eligible for further consideration. This limitation does not prohibit an applicant from collaborating on other applications (e.g., as a potential subrecipient or partner) so long as the entity is only listed as the applicant on one Concept Paper and one Full Application for each Sub-Topic area of this solicitation. Funding Requirements The DOE monetary contribution for each project will not exceed $300,000. For demonstration projects, an industry partner must provide a participant contribution of at least 20% of the total�project funding to support industry expertise to the project. The participant contribution can take the form of monetary funds in or �in-kind� contributions and must come from non-federal sources unless otherwise allowed by law. For follow-on projects defined as a project that is using the results of a previously funded project within the HPC4EI portfolio, the industry contribution is 33.3% of the total project funding of which at least half of this amount is a cash contribution. Sample budgets are shown below. Total project size cannot exceed $500,000. DOE funding will be provided to the National Laboratory (or laboratories) in support of their work under the HPC4EI Program. Please refer to the attached file for the following: Sample Budgets Solicitation Process and Timeline Concept Paper Guidelines Full Proposal Guidelines Evauation Process and Criteria Point of Contact Intellectual Property and Data Rights
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