Filter News
Area of Research
- (-) Building Technologies (2)
- Advanced Manufacturing (7)
- Biological Systems (1)
- Biology and Environment (68)
- Clean Energy (144)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Energy Sciences (2)
- Functional Materials for Energy (2)
- Fusion and Fission (15)
- Fusion Energy (9)
- Isotope Development and Production (1)
- Isotopes (28)
- Materials (91)
- Materials for Computing (10)
- National Security (38)
- Neutron Science (36)
- Nuclear Science and Technology (26)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Supercomputing (65)
News Type
Media Contacts
![ORNL and Enginuity researchers proved that a micro combined heat and power prototype, or mCHP, with an opposed piston engine can achieve more than 93% overall energy efficiency. The environmentally friendly mCHP can replace a back-up generator or traditional hot water heater. Credit: ORNL, U.S. Department of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/storytipjb.png?h=ddb1ad0c&itok=0ZTdSit5)
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%.
![An algorithm developed and field-tested by ORNL researchers uses machine learning to maintain homeowners’ preferred temperatures year-round while minimizing energy costs. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/2019-P07408_2.jpg?h=8f9cfe54&itok=jBvKdqIv)
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.