Staff and researchers at NETL-Morgantown and NETL-Pittsburgh received two team awards and 10 individual awards from the Pittsburgh Federal Executive Board (FEB) during its 2024 Excellence in Government Awards program at the Heinz History Center during Public Service Recognition Week (PSRW), which was held May 5-11.
Researcher Dave Luebke doesn’t have to search far for inspiration as he works to develop the NETL Direct Air Capture (DAC) Center. It’s waiting for him when he gets home at the end of the day.
WASHINGTON, D.C.— The U.S. Department of Energy’s (DOE) Office of Fossil Energy and Carbon Management (FECM) today announced it will make up to $24 million available to support the transport of carbon dioxide (CO2) to locations for permanent geologic storage or conversion to useful products. The CO2—captured from industrial and power generation facilities, as well as from legacy carbon dioxide emissions captured directly from the atmosphere—may be transported by any mode of transport such as pipelines, rail, trucks, barges, or ships, including any combination of transport modes. Made possible through President Biden’s Investing in America agenda, this effort supports the development of a large-scale carbon storage industry key to achieving the Administration’s ambitious climate goal of a net-zero emissions economy by 2050.
NETL projects to realize a transformed American energy sector using artificial intelligence (AI) and other technologies were shared during the first AI Expo for National Competitiveness organized by the Arlington, VA-based foundation Special Competitive Studies Project, held in Washington, D.C. May 7-8.
Washington—The U.S. Department of Energy (DOE) announced it is extending the closing date to award $100 million available through President Biden’s Investing in America agenda to support states, local governments, and public utilities in purchasing products derived from converted carbon emissions. The goal is to speed up adoption of advanced carbon management technologies, creating a market for environmentally sustainable alternatives in fuels, chemicals, and building products sourced from captured emissions from industrial and power generation facilities. This effort aligns with the Biden-Harris Administration’s historic climate and clean energy agenda.
NETL researchers have developed a low-cost compact fiber-optic sensor that exploits a process called “photoluminescence sensitization” to detect rare earth elements (REEs) — critical materials needed by U.S. manufacturers to make high-tech systems and devices — in waste byproducts generated from mining and fossil energy production.
NETL researchers successfully used the Laboratory’s Joule 2.0 supercomputer to create synthetic physics-based tropical cyclone wave simulations that help provide insights into the behavior of extreme waves in the Gulf of Mexico.
Produced water that returns to the surface as wastewater after oil and gas hydraulic fracturing processes in parts of Appalachia can be a source of lithium, a valuable chemical element used in consumer products, according to an important new report from NETL.
WASHINGTON, D.C. — As part of President Biden’s Investing in America agenda, the U.S. Department of Energy’s (DOE) Office of Fossil Energy and Carbon Management (FECM) today announced up to $500 million available for projects that will help expand carbon dioxide (CO2) transportation infrastructure to help reduce CO2 emissions across the United States. Meeting the Biden-Harris Administration’s goal of a net-zero emissions economy by mid-century will require accelerating the responsible development and deployment of technology to capture CO2 emissions from industrial operations and power generation and to remove CO2 directly from the atmosphere. These efforts must be supported by a safe and reliable system that can transport the captured CO2, either for permanent geologic storage or for conversion to useful, durable products.
NETL publicly released an award-winning analytical tool that uses advanced big data computing, artificial intelligence (AI), machine learning (ML) and advanced analytical models to evaluate energy infrastructure integrity — a capability that can lead to effective cost savings and improved operational measures for environmental safety.
