Every day, the nation’s power grid becomes more complex.

PNNL evaluates bacterial, fungi, and algae strains as part of a four-step process to streamline and standardize biomanufacturing processing.

PNNL is working with national laboratories and academia to provide electric vehicle manufacturers with batteries that are more reliable, high-performing, safe, and less expensive.

PNNL administers a buoy loan program for the U.S. Department of Energy that allows organizations to use buoys for their own offshore wind research.

RemPlex provides a global forum committed to fostering technical leadership, collaborative research, and professional development that facilitates the cost-effective remediation of complex sites.

PNNL provides tools and expertise to bring faster, cost-effective catalysts to industry that can be produced at a large scale.

Cyber networks are constantly under attack by bugs, bots, and nefarious actors. While system owners acutely understand the need to secure their networks, they’re not always sure of the best actions to take.

PNNL is leading an effort to reveal the potential of algae for biofuels to replace conventional fuels for transportation.

E4D is a 3D geophysical modeling and inversion program designed for subsurface imaging and monitoring using static and time-lapse electrical resistivity tomography (ERT), spectral induced polarization (SIP) and travel-time tomography data.

From global issues such as melting permafrost and the creation of alternate biofuels to matters affecting microbiomes and micro-sized life, PNNL research is featured in news publications worldwide.

PNNL is a leader in the integration of aberration-corrected electron microscopy, in-situ techniques, and atom probe tomography to address national challenges in nuclear materials, environmental remediation, energy storage, and national secu

The behavior of power systems is becoming more stochastic and dynamic due to the increased penetration of variable generation, demand response, new power market structure, extreme weather conditions, contingencies, and unexpected events.

PNNL team will provide a new framework of EMS 2.0 that enables hybrid state estimation and advanced applications, e.g., power grid model validation, identification of bad parameters, fault detection, parameter calibration, etc.

PNNL team is developing a new multi-scale state estimation framework that effectively integrates the SSE and DSE together.