Can food waste help fuel the future? Researchers are working toward clean, cost-effective alternatives to today’s fossil fuels.

New approach allows nonexperts to optimize control of a building's energy systems without adding computing power or proprietary software.

PNNL’s longstanding grid and buildings capabilities are driving two projects that test transactive energy concepts on a grand scale and lay the groundwork for a more efficient U.S. energy system.

PNNL data scientists Ján Drgoňa and Draguna Vrabie are working to reduce deployment costs of advanced energy control systems for buildings.

Like a toxic Trojan horse, microplastics can act as hot pockets of contaminant transport. But, can microplastics get into plant cells? Recent research shows that they can't.

The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.

The three-year project funded by DOE’s Basic Energy Sciences program will focus on using electrochemistry to capture ambient carbon dioxide.

Washington State University and PNNL are collaborating on cutting-edge bioproducts science, engineering, and analysis capabilities.

PNNL’s Karthikeyan Ramasamy was elected to a three-year term as a director in the American Institute of Chemical Engineers’ Fuels and Petrochemicals Division.

PNNL employs deep learning strategies to advance Model Predictive Control (MPC), a highly promising solution for intelligent building operations.

PNNL’s Intelligent Load Control technology manages and adjusts electricity use in buildings when there’s peak demand on the power grid.

A PNNL technology enables automated Economic Dispatch, which coordinates the use of energy in a manner that enhances distributed generation, efficiency, renewables, and grid reliability.