Filter News
Area of Research
- (-) Building Technologies (2)
- (-) Electricity and Smart Grid (3)
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (57)
- Clean Energy (181)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (5)
- Energy Sciences (2)
- Functional Materials for Energy (2)
- Fusion and Fission (15)
- Fusion Energy (9)
- Isotope Development and Production (1)
- Isotopes (28)
- Materials (67)
- Materials for Computing (11)
- National Security (29)
- Neutron Science (28)
- Nuclear Science and Technology (21)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (48)
- Transportation Systems (2)
News Type
News Topics
- (-) Energy Storage (1)
- (-) Grid (3)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (1)
- Buildings (4)
- Computer Science (1)
- Decarbonization (1)
- Environment (1)
- Frontier (1)
- High-Performance Computing (1)
- Machine Learning (1)
- Materials (1)
- Materials Science (1)
- Microelectronics (1)
- Simulation (1)
Media Contacts
Researchers at the Department of Energy’s Oak Ridge National Laboratory are supporting the grid by improving its smallest building blocks: power modules that act as digital switches.
ORNL researchers, in collaboration with Enginuity Power Systems, demonstrated that a micro combined heat and power prototype, or mCHP, with a piston engine can achieve an overall energy efficiency greater than 93%.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.