NETL’s world-class 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.
NETL leverages its expertise in computational modeling to advance the design and improve the capability to predict the performance of alloys in harsh environments needed to reduce the environmental impact of energy production.
Example and screenshot of CORD datasets used within the “CORD Platform” dashboard web application. The map (top center) displays coal delivery pathways extending from mine (black squares) to power plants (blue triangles and light blue highlighted circles) associated with the Powder River (Basin) coal source region (purple area on map). Datasets are summarized around the map within charts, lists, and graphs accordingly.
NETL’s Sofiane Benyahia, Ph.D., has received the Charles W. Pierce Distinguished Alumni Award from the Illinois Institute of Technology (IIT) Department of Chemical and Biological Engineering.
The award is presented annually and recognizes alumni who have brought recognition to IIT through their outstanding contributions to the advancement of the chemical and biological engineering profession and exceptional dedication and support to the university. The award will be presented at IIT in Chicago.
The NETL Science-based Artificial Intelligence and Machine Learning Institute (SAMI) recently ramped up efforts to connect artificial intelligence and machine learning (AI/ML) researchers working on clean energy technologies by hosting a Jan. 19 Ai4AE Day Workshop and expanding the reach of its biweekly Artificial Intelligence for Applied Energy (Ai4AE) digital communication.
NETL researchers, working closely with experts at the U.S. Department of Energy (DOE) Office of the Chief Information Officer (OCIO), have designed a multi-cloud-based computational solution to complement on-site resources that will accelerate clean energy research across the agency.
NETL researchers supporting computational science & engineering (CSE) are working to develop science-based simulation models, mathematical methods and algorithms, and software tools required to address technical barriers to the advancement of next-generation technologies. This research helps to generate information and understanding beyond the reach of experiments alone, saving time, money and materials.
The Lab accomplished many CSE successes in 2021. For example:
The Energy Data eXchange (EDX), an NETL-developed virtual library and data laboratory built to advance fossil energy and environmental research and development (R&D), celebrates its 10th anniversary this month. EDX supports the entire lifecycle of data by offering secure, private collaborative workspaces to help scientists maximize their research potential and further critical technology advancements.
NETL leadership and experts, including NETL Director Brian Anderson, Ph.D., joined representatives from 11 universities as they gathered virtually to discuss project successes during the 2021 University Coalition for Fossil Energy Research (UCFER) Annual Technical Review Meeting this week.
NETL Deputy Director and Chief Technology Officer Sean Plasynski, Ph.D., kicked off the second day of the meeting with opening remarks, proceeded by an administrative update from UCFER DOE Project Officer Omer Bakshi.
NETL Director Brian Anderson, Ph.D., will welcome representatives from 11 universities for the virtual 2021 University Coalition for Fossil Energy Research (UCFER) Annual Technical Review Meeting Oct. 5-6, 2021.
“Partnerships like UCFER help the Lab leverage its connections, resources and expertise to develop critical carbon management technologies,” Anderson said. “The dedication of our University partners across UCFER to our mission is an inspiration when we see the innovations from see the best and brightest minds from universities across the country.”
