Skip to main content
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

Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.

Oak Ridge National Laboratory's Additive Manufacturing Integrated Energy  (AMIE) demonstration connects a 3D-printed building and vehicle to showcase a new approach to energy use, storage and consumption. Photo by Carlos Jones

A research demonstration unveiled today at the Department of Energy’s Oak Ridge National Laboratory combines clean energy technologies into a 3D-printed building and vehicle to showcase a new approach to energy use, storage and consumption. The Additive Manufactur...

ORNL Image

The Department of Energy’s Oak Ridge National Laboratory and Whirlpool Corporation are collaborating to design a refrigerator that could cut energy use by up to 40 percent compared with current models