DOE advances clean energy with supercomputers
WASHINGTON, Feb. 24, 2016 - The Energy Department (DOE) recently
announced that 10 private companies would be awarded $30 million and
granted access to high-performance computing resources housed in its national
laboratories to address major manufacturing challenges, such as improving
turbine blades in aircraft engines, cutting heat loss in electronics, reducing
waste in paper manufacturing and improving fiberglass production. An
overarching objective, says DOE, is to keep the U.S. at the forefront of
innovation by accelerating advanced clean energy technologies and
energy-efficient solutions that improve our nation's economic competiveness in
manufacturing.
Led by Lawrence Livermore
National Laboratory (LLNL), with Lawrence
Berkeley National Laboratory (LBNL) and Oak
Ridge National Laboratory (ORNL), the High-Performance
Computing for Manufacturing (HPC4Mfg) Program will leverage the national
labs’ high-performance computing capabilities to apply modeling, simulation and
data analysis to industrial products and processes to lower production costs
and shorten the time it takes to bring new clean energy technologies to market.
“Access to supercomputers in the Department of Energy’s labs
will provide a resource to American firms inventing and building clean energy
technologies right here at home that no international competitor can match,”
says Assistant Energy Secretary David Danielson. “The HPC4Mfg initiative pairs
leading clean energy technology companies with the world-class computing tools
and expertise at our national labs to drive down the cost of materials and
streamline manufacturing processes. The ultimate goal of their collaboration is
to increase our global competitiveness in the race to develop clean energy
technology and jobs.”
The Advanced Manufacturing
Office within the Department’s Office
of Energy Efficiency and Renewable Energy created and funds this
program. The HPC4Mfg projects also support the Energy Department’s Clean
Energy Manufacturing Initiative.
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