Absaroka Energy, Argonne partner to evaluate Wyoming pumped storage hydropower plant
Scientists from the U.S. Department of Energy’s (DOE) Argonne National Laboratory and other institutions are working with Bozeman, Montana–based Absaroka Energy to evaluate a pumped storage hydropower (PSH) facility in central Wyoming. Located along the proposed route of the Energy Gateway West transmission line, the 400-megawatt PSH facility would be able to serve additional areas in the West and Southwest.
Renewable energy depends on reliable forms of energy storage and nearly all of the world’s energy storage installations use pumped storage hydropower ― the proven and reliable way of storing large quantities of energy. However, in recent years new PSH plants have become increasingly difficult to develop. To help developers, owners and operators assess the value of a PSH project, Argonne scientists spearheaded the development of the DOE-sponsored pumped storage valuation guidebook. Researchers from Argonne and other national laboratories closely collaborated with Absaroka Energy as their planned Wyoming PSH project served as a real-world test case for the valuation methodologies and approaches presented in the guidebook.
In addition to Argonne, project team members include Idaho National Laboratory, the National Renewable Energy Laboratory, Oak Ridge National Laboratory and Pacific Northwest National Laboratory.
Argonne scientists analyze how wind energy affects population, habitat of sage-grouse
As wind farms proliferate in the United States, their impact on wildlife poses a significant consideration. In Wyoming, for example, concern over the sustainability of the greater sage-grouse has led to widespread restrictions on wind energy development. The sage-grouse population in Wyoming has declined to the extent that it has been considered for listing as an endangered species.
To proactively examine the cumulative effects of wind energy development on the species, Argonne scientists developed a spatially explicit, individual-based model. Synthesizing such information as the species’ behavior and life history, scientists created a predictive tool that identifies opportunities to avoid, minimize and mitigate the impacts of wind energy development. The model uses Wyoming’s Albany County as its case study: a location with high potential for wind energy development and large populations of greater sagegrouse.
Future work will incorporate climate change scenarios into the model, include other species and expand predictive capability across renewable energy types and other large-scale development. Plans also call for modifying the model so that other users — such as land management agencies, planners and developers — could evaluate the effects of energy development on important wildlife species.
Argonne’s TRACER Center counts krypton atoms to date groundwater
Argonne is home to the nation’s only laser-based krypton atom-counting machines — two of only a few such devices in the world. At Argonne’s Trace Radioisotope Analysis Center (TRACER), scientists capture and count isotopes of the rare element krypton to determine the age of ice and groundwater from diverse and extreme geographies — a process known as radiokrypton dating.
The TRACER Center uses a novel technique called Atom Trap Trace Analysis (ATTA) to perform this dating, which provides information about the dynamics, flow rates, and direction of water in aquifers, particularly those vital to arid regions. Equipped with two ATTA devices, a state-of-the-art high-throughput system and a dedicated research and development beamline, the Center enables scientists to analyze samples while also focusing on research. So far, TRACER has dated hundreds of samples, including those from hydrothermal systems in Wyoming’s Yellowstone National Park in addition to wetlands, deserts and glacial ice.
Funding for the ATTA technique and its initial facility was provided by the Office of Nuclear Physics within the DOE’s Office of Science and through Argonne’s Laboratory Directed Research and Development program.