Supercomputing-led scientific advances could halve the cost of wind energy by 2030, according to a study from the U.S. Department of Energy's (DoE) National Renewable Energy Laboratory (NREL).
Researchers and industry stakeholders are using supercomputing resources to design future wind farms under the DoE's Wind Energy Technologies Office Atmosphere to Electrons (A2e) applied research program.
"The...program leverages...advances into an integrated effort so that, for the first time, researchers will be able to accurately model the behavior of wind flow into and through a wind plant at a level of resolution that illustrates the full flow physics," say the NREL study authors. "Scientists will apply supercomputing to high fidelity physics models of complex flows and will use 'big data' along with data science to manage extensive measurements that provide formal validation of supercomputing models."
A2e will develop next-generation wind technologies for building System Management of Atmospheric Resource through Technology power plants.
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