New Equity-Focused Technical Assistance for Transmission Planners
PNNL will engage with transmission planners and other regional partners through technical assistance and listening sessions with the goal of exploring opportunities to integrate equity into transmission planning.
Researchers Help Students Design Marine Solutions in Robotics Competitions
Researchers at PNNL advised elementary and middle school student teams with their problem-solving research for the FIRST® LEGO® League robotics competitions.
Hydropower Generation Projected to Rise, but Climate Change Brings Uncertain Future
Although climate change may bring increased precipitation to many parts of the United States, some areas may face drier conditions and lower streamflow, resulting in decreased hydropower generation.
The Complexity of Amplified Arctic Warming can be Understood Analytically
The results of this study reveal that the degree of Arctic amplification, despite being controlled by complicated interactions among multiple factors, can be analytically understood.
Future Climate Change Predicted to Shift Flood-Generating Mechanisms and Intensify Extreme Flooding Events
The Delaware River Basin is projected to experience a regional increase in flood severity under future climate scenarios.
Transmission and Renewables Would Reduce Carbon Emissions, Generation Costs in Western United States
New transmission lines and renewable energy projects would bring economic and climate change benefits to the Western United States’s electricity grid.
Leaders Gather to Celebrate and Dedicate the Grid Storage Launchpad
The Grid Storage Launchpad dedication event was attended by leaders in grid and transportation energy storage, battery innovation, and industry stakeholders working to transform America’s energy system.
An Electric Grid That Thinks Ahead
Researchers are planning for an electric grid that deploys machine learning to think ahead, plan for the worst, anticipate demand, and meet consumer needs safely and securely.
Interpretable and Physics-Aware Neural Networks Improve Modeling of Turbulence Near the Surface
A new study uses direct numerical simulations to develop a near-surface turbulence model for thermal convection using interpretable and physics-aware neural networks, broadening the applications of numerical simulations.
Chini Helps Explore Timely Energy Infrastructure Questions
PNNL’s Chris Chini has been named a guest editor of Environmental Research: Infrastructure and Sustainability’s special issue examining energy infrastructure vulnerabilities from physical and natural threats.