NETL will host a webinar from 2 to 3:30 p.m. EDT on Wednesday, June 22, to discuss research and development opportunities available within the U.S. Department of Energy’s Office of Fossil Energy and Carbon Management’s University Training and Research (UTR) Program.
NETL researchers made important industry connections during the TechConnect World Innovation Conference and Expo held in Washington, D.C, June 13-15, sharing the Lab’s innovative research into computer modeling, rare earth elements, sensors and other energy research, while other NETL innovators pitched their technologies to investors during the concurrently held TechConnect Innovation Challenge.
Learn about the latest developments in the U.S. Department of Energy (DOE)/NETL Carbon Capture Program in this month’s edition of the Carbon Capture Newsletter.
The DOE/NETL Carbon Capture Program is developing the next generation of advanced carbon dioxide (CO2) capture technologies that can provide step-change reductions in both cost and energy requirements as compared to currently available technologies.
NETL researcher Ranjani Siriwardane is a trailblazer within her areas of expertise and in the advancement of diversity and inclusion to drive innovations for clean energy technologies.
Besides finding solutions to complex technical issues, Siriwardane, as well as other women at NETL, are
NETL is leading the Center for Sustainable Fuels and Chemicals (CSFC), a focus to help the U.S. chemicals industry retool products and operations for a sustainable future that strengthens domestic manufacturing as the nation transitions to clean energy.
NETL’s David Miller, Ph.D., senior fellow for Strategic Systems Analysis and Engineering, delivered a keynote address to kick off the 2022 Advanced Manufacturing & Processing Conference (AMPc) in Bethesda, Maryland, sharing the Lab’s perspective on optimizing decarbonized industrial and energy systems.
NETL and West Virginia University researchers have successfully used reinforcement learning — which allows a computer program to learn without user input — to develop adaptive control strategies that could reduce environmental emission and treatment costs during flexible operation of the nation’s power plants.
Reinforcement learning is a type of machine learning technique that involves an intelligent agent, such as a computer algorithm, taking action in an environment and receiving rewards or penalties based on its actions.
The expertise and capabilities of NETL’s Institute for the Design of Advanced Energy Systems (IDAES) will be featured at Smart Manufacturing Experience 2022, a three-day conference highlighting transformational technologies to begin Tuesday, June 7, at the David L. Lawrence Convention Center in Pittsburgh, Pennsylvania.
NETL researchers will provide updates on groundbreaking projects when the U.S. Department of Energy (DOE) Hydrogen Program hosts its 2022 Annual Merit Review (AMR) and Peer Evaluation Meeting Monday, June 6, through Wednesday, June 8.
New NETL research examines turbomachinery design for advanced, natural gas-fired direct supercritical carbon dioxide (sCO2) power generation systems that offer potential for high efficiency and high rates of carbon dioxide capture. The research was captured in a new manuscript published in Energy Conversion and Management Journal.
