HPC Powers Wind Energy
Speaker
Event Type
HPC Impact Showcase
TimeWednesday, November 15th10:30am -
11am
Location501-502
DescriptionElectrical power generation via large scale wind
turbine farms continues to grow worldwide as a
cost-effective renewable energy resource. The proper
placement of wind turbines within a given resource area
must consider the optimal power capture and the wake
interference effects from turbine to turbine. Flow
simulations at the scale afforded by HPC systems will
enable wind farm developers to account for these effects
and reduce the total cost of energy.
Prof. Dimitri Mavriplis and his students at the University of Wyoming have been developing W2A2KE3D code, a high order finite element solver instrumented with VisIt/Libsim for in situ data processing. It has been applied to various aerodynamic applications such as airplanes, helicopters and now wind turbines. This HPC Impact Showcase will highlight how the Cheyenne supercomputer located at National Center for Atmospheric Research / University Corporation for Atmospheric Research (NCAR/UCAR) Computational and Information Systems Lab (CISL) was used to simulate the Lillgrund Wind Plant. This work represents the most highly resolved simulation of a wind farm to date. It includes the detailed unsteady fluid structure interactions occurring within each turbine and has the capability for atmospheric turbulent inflow conditions. These simulations required over 1.1 billion degrees of freedom to perform the simulation on over 32,000 compute cores.
Prof. Dimitri Mavriplis and his students at the University of Wyoming have been developing W2A2KE3D code, a high order finite element solver instrumented with VisIt/Libsim for in situ data processing. It has been applied to various aerodynamic applications such as airplanes, helicopters and now wind turbines. This HPC Impact Showcase will highlight how the Cheyenne supercomputer located at National Center for Atmospheric Research / University Corporation for Atmospheric Research (NCAR/UCAR) Computational and Information Systems Lab (CISL) was used to simulate the Lillgrund Wind Plant. This work represents the most highly resolved simulation of a wind farm to date. It includes the detailed unsteady fluid structure interactions occurring within each turbine and has the capability for atmospheric turbulent inflow conditions. These simulations required over 1.1 billion degrees of freedom to perform the simulation on over 32,000 compute cores.
Speaker
