PNNL and four other national laboratories executed the Hydropower Value Study to examine hydropower operations in different regions of the United States.
Study says planners need to account for climate impacts on renewable energy during capacity development planning to fully understand investment implications to the power sector.
Three unused, 48,000-pound stainless steel canisters arrived at PNNL, bringing the chance to deepen research in spent nuclear fuel storage and transportation.
On the looming 10th anniversary of the Fukushima disaster at the Daiichi Power Station in Japan, PNNL looks back at the science and solidarity it has shared with Fukushima and its nuclear cleanup effort.
Innovative technology combines continuous, remote, real-time testing and monitoring of byproduct gasses, paving the way for faster advanced reactor development and testing.
Fifty-eight PNNL staff members were recognized as members of enterprise-wide teams that helped address challenges in national health and security through transformative science and technology solutions.
PNNL radiochemist and research manager Patricia Paviet named National Technical Director for the Molten Salt Reactor (MSR) Program by the U.S. Department of Energy’s Office of Nuclear Energy.
PNNL streamlines environmental review process for advanced reactors, saving years and millions of dollars toward deployments of new nuclear power projects.
In 2020, virtual Washington State University teams successfully worked together in a program sponsored by the National Nuclear Security Administration’s (NNSA) Office of International Nuclear Safeguards.
Klymyshyn was recognized as “Engineer of the Year” by the American Society of Mechanical Engineers, Columbia Basin Section for his technical, professional, and community contributions.
PNNL has published a report that sets the foundation for modeling gaps and technical challenges in optimizing hydropower operations for both energy production and water management.
California and other areas of the U.S. Southwest may see less future winter precipitation than previously projected by climate models, according to new research that corrects for a long-standing model error: the double-ITCZ bias.