A new control system shows promise in making millions of homes contributors to improved power grid operations, reaping cost and environmental benefits.
Lighting control data are critical for optimizing the design and operation of future lighting systems for the benefit of occupants and energy efficiency.
Recognizing how innovation and clean technologies at the very edge of the grid can work together to transition the electricity system, PNNL takes a multidisciplinary approach to advancing and integrating renewable energy solutions.
Next generation triple-pane windows provide builders with lower cost options and help homeowners conserve energy, reduce noise, and lower home energy bills.
Four research staff from PNNL are part of an international team that earned top honors for a journal paper focused on a new algorithm-evaluation approach for buildings.
The eighth Arab-American Frontiers of Science, Engineering, and Medicine Symposium, co-organized by PNNL engineer and research line manager Leonard Pease, brought together multi-disciplinary researchers from around the globe.
PNNL will provide technical resources and support to a national coalition of states and cities focused on implementing building performance standards to improve energy efficiency and reduce carbon emissions.
Sam Rosenberg, a data research scientist in the Energy and Environment Directorate at PNNL, has been appointed voting member of the Regional Technical Forum for the Northwest Power Conservation Council.
A new PNNL study quantifies hydropower's contribution to grid stability. When other power sources go out, hydropower can ramp up, recoup shortfalls, and stabilize the grid nearly instantaneously.
PNNL researchers develop software that uses geographical data to build a free, open-source grid reference system to provide a precise system to locate structures.
With an eye on renewable, accessible, and resilient power, PNNL researchers show hyper-local microgrids are a viable option, if designed with the right mix of sources.
Electrical engineer Aditya Ashok and cybersecurity researcher Thomas Edgar win best paper award for their work to create a new high-fidelity dataset that will help advance cybersecurity solutions for critical infrastructure protection.