University of Tennessee

ORNL and UT researchers created a new method to calculate the power grid’s inertia in real time, using signals from pumped storage hydropower facilities such as TVA’s Raccoon Mountain project, pictured here. Credit: Tennessee Valley Authority

New Method Monitors Grid Stability With Hydropower Project Signals

Scientists at Oak Ridge National Laboratory and the University of Tennessee, Knoxville, have developed an algorithm to predict electric grid stability using signals from pumped storage hydropower projects. The method provides critical situational awareness as the grid increasingly shifts to intermittent renewable power. Hydropower is a renewable energy source directly … [continued]

Conceptual art depicts machine learning finding an ideal material for capacitive energy storage. Its carbon framework shown in black, has functional groups with oxygen, shown in pink, and nitrogen, shown in turquoise. Credit: Tao Wang/ORNL, U.S. Dept. of Energy.

New Carbon Material Sets Energy-Storage Record Likely To Advance Supercapacitors

Guided by machine learning, chemists at the Department of Energy’s Oak Ridge National Laboratory designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material. A supercapacitor made with the new material could store more energy — improving regenerative brakes, power electronics and auxiliary … [continued]

U.S. DOE’s ARPA-E Releases $10M of Electric Airplane Funding to GE, Others

The U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E) recently announced the release of funding to several organizations working on electric aircraft, including General Electric, as part of its Connecting Aviation By Lighter Electric Systems (CABLES) program. “Future all-electric, twin-aisle aircraft will require more than 50 MWs of power … [continued]