National Energy Technology Laboratory (NETL) Director Brian Anderson, Ph.D., will deliver a talk about the Laboratory’s fossil energy research as part of the 2019 Carnegie Mellon University Scott Institute for Energy Innovation Distinguished Lecture Series at 11:45 a.m. Tuesday, Feb. 19 at the Marquis Conference Room at 5000 Forbes Avenue, Pittsburgh.

The U.S. Department of Energy’s National Energy Technology Laboratory (NETL), in partnership with Energy Industries of Ohio Inc., is set to scaleup the fabrication of components made from advanced nickel superalloys, that will help bring advanced ultrasupercritical (AUSC) power plant technology to the level of readiness for commercial-scale demonstration.

Experts from the National Energy Technology Laboratory (NETL) — the only U.S. Department of Energy (DOE) national laboratory dedicated to fossil energy research — will offer research input when the National Association of Regulatory Utility Commissioners (NARUC) holds its Winter Policy Summit in the Nation’s Capital today through Wednesday to consider potential policy initiatives.

Morgantown High School (Team 1) and Suncrest Middle School (Team 1), both of Morgantown, claimed victory at the 28th annual West Virginia Regional Science Bowl (WVSB), organized and co-sponsored by NETL. The event was held Feb. 8-9, 2019, at the West Virginia University (WVU) Mountainlair in Morgantown, West Virginia. Twenty-four teams from high schools and 24 teams from middle schools throughout the Mountain State participated in the competition, which was also co-sponsored by WVU.

Toss-up question, mathematics: How many students nationwide compete in regional Science Bowls each year? The correct answer is more than 9,000 high school students and 4,500 middle school students. Hundreds of those students compete at the West Virginia and Western Pennsylvania Regional Science Bowls, organized and co-hosted each year by NETL to promote science, technology, engineering and math (STEM) education.

NETL’s 2018 Compendium of Carbon Capture Technology, which provides a technical summary of its Carbon Capture program, is now available. The comprehensive document assembles carbon dioxide (CO2) capture technology research and development descriptions into a single document, allowing stakeholders in corporations, small businesses, universities, nonprofit organizations, other national laboratories and government agencies to examine the technology progress and activities of the Carbon Capture program.

Christopher Matranga, a research scientist in the Materials and Manufacturing Division of NETL, is an event speaker at Coaltrans USA 2019 this week in Miami, Florida, where coal producers, consumers, traders, supply chain and policy makers are learning about trends and innovations affecting the coal supply chain in America.

NETL’s innovative work to develop energy technology solutions closely aligns with the Rapid Advancement in Process Intensification Deployment (RAPID) Manufacturing Institute’s core mission: Develop groundbreaking technologies to boost energy productivity and efficiency.

The U.S. Department of Energy (DOE)’s National Energy Technology Laboratory (NETL) is expanding its work with the Southwest Research Institute (SwRI) of San Antonio, Texas, to develop the next generation of methane leak detection technology combining remote sensing and artificial intelligence capabilities in a system that can operate from an aerial platform — an approach that can more effectively help alleviate methane emissions from multiple operations in the natural gas industry.

Advanced computer modeling methods can enable energy researchers to rapidly design and optimize the nation’s electric grid and the electrification of the energy infrastructure. Of particular significance is the need to rapidly predict and design improved performance of soft magnetic components that include transformers, inductors and even rotating electrical machinery such as motors and generators – all key components of the electrical grid. Because the utility of computer simulations and modeling techniques ultimately depend upon the accuracy of the data, researchers at the U.S.