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NETL researchers pitched top-ranked clean energy technologies to potential industry, investment and government prospectors and partners during the recent TechConnect World Innovation Conference and Expo, earning TechConnect National Innovation Awards for their teams. NETL’s Dustin McIntyre and Andrew Bean participated in TechConnect’s Innovation Challenge, which the organizer states is the largest multi-sector commercialization program for emerging deep technologies.

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NETL researchers are helping the National Center for Atmospheric Research (NCAR) unlock the potential of an advanced artificial intelligence (AI) computing resource to perform critical climate modeling that could lead to better climate change predictions. NCAR will conduct the research using Carnegie Mellon University’s cutting-edge Neocortex high-performance computing resource, which features the Cerebras CS-2 system, a ground-breaking AI computational resource powered by the world’s largest computer chip — the wafer scale engine (WSE). NETL researchers have been collaborating with Cerebras Systems Inc. over the last two years on unique modeling capabilities using the WSE, and have been developing a user interface that allows users to easily write programs on the WSE for scientific modeling.

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NETL’s Advanced Infrastructure Integrity Model (AIIM) is a science-based, artificial intelligence, big data, and big data computing informed approach to assessing offshore energy infrastructure integrity for safe future use and repurposing. AIIM is the latest advancement in the 2019 R&D 100 award-winning Offshore Risk Modeling suite, and was recognized as a top-ranked innovation and selected as a TechConnect National Innovation Awardee. Additional information on NETL’s participation at TechConnect was featured as an NETL story here: NETL Connects with Industry at National Innovation Symposium | netl.doe.gov.

NETL researchers will showcase critical decarbonization projects and important research initiatives at the 12th Advanced Research Projects Agency-Energy (ARPA-E) Energy Innovation Summit May 23-25 in Denver, Colorado.

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Through a collaboration with one of the world’s leading artificial intelligence (AI) hardware manufacturers, NETL is developing a cutting-edge computer modeling capability using next-generation computer architecture that is much smaller, more energy-efficient, and hundreds of times faster than current supercomputers. Cerebras Systems Inc. designed its revolutionary wafer-scale engine (WSE) to tackle tough AI problems, but NETL’s Dirk Van Essendelft, Ph.D., and his team realized that this new type of computer chip could be used to solve real-world engineering problems.

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From deep learning to a revolutionary new hardware platform, NETL’s artificial intelligence (AI) and machine learning (ML) capabilities are being leveraged to design the cleaner, more efficient power generation systems necessary for near-term decarbonization of the nation’s power sector and economy.

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NETL data analysis research is expanding the work of the Lab’s eXtremeMAT program to enable improved materials property prediction that could support the design of cutting-edge clean energy systems. In their 2021 study, “Data Science Techniques, Assumptions, and Challenges in Alloy Clustering and Property Prediction,” which was cited for excellence by a prestigious academic journal, the researchers explain steps taken to use data from eXtremeMAT to accelerate the development of materials for extreme environments, including the high-temperature, high-pressure conditions in advanced power plants. The study manuscript was named an Editor’s Choice Article by the Journal of Materials Engineering and Performance. In a Feb. 22 letter to the research team, Editor-in-Chief Rajiv Asthana noted, “This selection is reflective of the comprehensive nature of your paper and its overall excellence.” The journal selects only six papers annually for this recognition.

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What do high tech tools to understand the internal structures of rocks; sophisticated heating equipment strong enough and hot enough to melt metals; and a cutting edge platform combining artificial intelligence with machine learning and information dissemination abilities have in common? The answer is NETL, where an evolving collection of technologies are playing an impressive role in advancing knowledge attaining breakthroughs in energy research.

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NETL’s expertise in data analytics and high-performance computing to support a carbon-neutral and sustainable energy future will be highlighted at the American Association of Petroleum Geologists’ Carbon Capture, Utilization and Storage (CCUS) Conference on March 29-31 in Houston, Texas. Themed “An Emerging Field for Energy Professionals,” the conference will examine the use of predictive modeling and other technologies to address challenges in subsurface geologic storage of carbon dioxide (CO2), CO2-enhanced hydrocarbon recovery, reservoir monitoring and risk assessment, industry applications and other topics. The conference begins on Tuesday, March 29, with a keynote address by Emily Grubert, deputy assistant secretary for Carbon Management in the U.S. Department of Energy’s Office of Fossil Energy and Carbon Management.

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NETL tool is being used to monitor the Great Pacific Garbage Patch for cleanup activities. A digital tool developed by NETL that helps examine ocean currents and wind patterns to predict where oil and other particles in the ocean are likely to travel in the event of an oil spill is being used for a range of non-energy related uses: like keeping track of the Great Pacific Garbage Patch for cleanup activities. NETL’s Kelly Rose, Ph.D., explained that Climatological and Instantaneous Isolation and Attraction Model (CIIAM) was developed within NETL’s Advanced Offshore Research portfolio (AOR) as one of several projects initiated because of lessons learned following the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. That event highlighted the need for improved models, data and tools to prevent future events, and improve response preparedness.

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