Future holiday homecomings could include efficient heat pumps in cold climates and homes designed and built with the environment in mind.

Accessing groundwater may become more difficult—and more expensive—as groundwater supplies become increasingly scarce and underground aquifer levels fall.

PNNL study explored multiple factors that could impact future snowpack—a critical source of water for communities, irrigation and energy generation.

Researchers use models to represent relationships between climate and socio-economic processes, helping inform decisions for slowing climate change and enhancing resilience.

From energy-efficient buildings to new manufacturing techniques, researchers at PNNL strive for sustainability and a decarbonization.

Researchers developed two solutions for air-conditioning—a novel, energy-efficient dehumidification system and a technology to detect refrigerant leaks. Both help increase energy-efficiency and reduce costs.

PNNL researchers deploying and testing novel building technologies and energy-management approaches.

Many of us are looking forward to next month's Apple Cup as the Cougars and Huskies battle for regional pigskin pride. At PNNL, however, we strive to bring these gridiron competitors together to collaborate on research and development.

It has been said that invention is the process of turning money into ideas and innovation is the process of turning ideas into money.

Thanksgiving is a time for us to reflect on our many blessings, and being a part of the Department of Energy's Pacific Northwest National Laboratory is one for which I am especially grateful.

July in the Tri-Cities usually brings sunny skies, hot weather and high demand for electricity as many of us retreat to air-conditioned homes and offices.

There’s a big energy challenge on our hands and the need for a solution is imminent.

Led by Battelle in collaboration with the Bonneville Power Administration, the Pacific Northwest Smart Grid Demonstration Project is the largest field test of smart grid systems to date.