Filter News
Area of Research
- (-) Building Technologies (2)
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (61)
- Clean Energy (118)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (13)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (45)
- Materials for Computing (11)
- National Security (30)
- Neutron Science (32)
- Nuclear Science and Technology (8)
- Quantum information Science (9)
- Sensors and Controls (2)
- Supercomputing (111)
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.