In January 2024, CESER—in partnership with GDO, NASEO, and PNNL—created a set of state energy security cohorts to support the coordination and technical development of state energy security planning, assessment, and mitigation.

New report examining multiple decades of climate and hydropower generation data provides insights into resilience of the western hydropower fleet.

A multi-institution research team led by PNNL is addressing curb usage management challenges in large urban areas by developing a city-scale dynamic curb use simulation tool and an open-source curb management platform. 

The E-COMP Initiative is creating new capabilities that enable the optimized design and operation of energy systems subject to multiple objectives and with high levels of power electronics.

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.

PNNL’s integrated software systems (FRAMES, MEPAS, MetView, APGEMS, CAPP) allow users to assess the environmental fate and transport of contaminants—and the potential impacts on humans and the environment—in a systematic, holistic approach.

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 will partner with the U.S. Department of Transportation’s Volpe Center to explore ways to to achieve federal goals for developing electric transmission infrastructure in transportation rights-of-way (ROWs).

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

Traditional planning frameworks must now address these new planning goals of decarbonization, resilience, and energy equity, requiring new methods to be incorporated into current practices.

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.

To help regulators identify a clear pathway to implement policy targets or mandates, PNNL researchers have provided a self-assessment tool.