Computational Modeling & Simulation

/Computational Modeling & Simulation

Upcoming Release of the University of Minnesota’s Virtual Wind Simulator

Large-eddy simulation (LES) of wind farms with wind-turbine parameterization is emerging as a powerful tool for improving existing wind farm performance and lowering maintenance costs—and assessing the potential sites for installing wind farms. Sandia is working with the University of Minnesota (UMN) St. Anthony Falls Laboratory to document and prepare UMN’s offshore version of the [...]

Structural Health Monitoring and Prognostics Management for Offshore Wind Plants

Offshore wind energy could potentially play a significant role in helping the nation establish a diversified energy-generation portfolio composed of clean, renewable resources. A current obstacle to offshore wind energy is that most projections put offshore wind farm operations and maintenance (O&M) costs between 2 to 5 times the current average O&M costs for onshore [...]

Sandia Modifies Delft3D Turbine Model

Delft3D is a state-of-the-art, open-source hydrodynamics software suite capable of modeling hydrodynam­ics, sediment transport, and water quality in rivers, lakes, estuaries, and coastal environments. Delft3D was developed by the Dutch company, Deltares. Because it is actively developed and maintained and because it is held in high regard by researchers and practitioners alike, Sandia is developing [...]

Navy/Marine Engineering Command Visits Sandia

Our nation relies upon a network of radars across the country to support the missions of homeland defense/ security, flight safety, and weather forecasting. The air-surveillance environment contains within it clutter, both stationary and moving. Wind turbines present a unique problem in that they can be both stationary and moving clutter and operate with [...]

Sandian Wins Award in 2015 OMAE Hydraulic Modeling Competition

The OMAE 2015 Hydrodynamic Modeling Competition award ceremony at the ASME conference in St. Johns, Newfoundland, Canada. Sandia's Carlos Michelen is third from the right. Carlos Michelen (in Sandia’s Water Power Technologies Dept.) and a team of National Renewable Energy Laboratory (NREL) researchers (Michael Lawson, Braulio Garzon, Fabian Wendt, and Yi-Hsiang Yu) won [...]

Digital In-Line Holography Helps Researchers ‘See’ into Fiery Fuels

Accidents, such as trucks crashing on a highway or rockets failing on a launch pad, can create catastrophic fires. It’s important to understand how burning droplets of fuel are generated and behave in such cases. Sandia researchers developed 3-D measurement techniques based on digital in-line holography (DIH). Sandia advanced DIH techniques with new algorithms to [...]

Sandia–Univ. of Rochester Win Funding to Demonstrate Fuel Magnetization and Laser Heating Tools for Low-Cost Fusion Energy

Sandia and the Laboratory for Laser Energetics (LLE) at the University of Rochester will investigate the compression and heating of high energy-density, magnetized plasmas at fusion-relevant magneto-inertial [confinement] fusion (MIF) conditions, building on the recent Magnetized Liner Inertial Fusion (MagLIF) concept successes. The SNL-LLE team will conduct focused experiments based on the MagLIF approach at [...]

Sandia’s Z Machine Helps Solve Saturn’s Two-Billion-Year Age Gap

Planets tend to cool as they get older, but Saturn is hotter than astrophysicists say it should be without some additional energy source. The unexplained heat has caused a two-billion-year discrepancy for computer models estimating Saturn’s age. “Models that correctly predict Jupiter to be 4.5 billion years old find Saturn to be only 2.5 billion [...]

Sandia Computational Mathematician Receives DOE’s EO Lawrence Award

Pavel Bochev, a Sandia computational mathematician has won the Department of Energy’s Ernest Orlando Lawrence Award for his work. (Photo by Randy Montoya) Pavel Bochev (in Sandia’s Computational Mathematics Dept.) has received an EO Lawrence Award for his pioneering theoretical and practical advances in numerical methods for partial differential equations. “This is the [...]

Sandia Wins Funding for Programming In Situ Data Analysis/Visualization

Sandia was recently awarded DOE Advanced Scientific Computing Research (ASCR) funding to develop a framework for in situ data management, analysis, and visualization. Sandia’s approach provides a mechanism for specifying the structure and use of data, decouples code specification from optimization, and facilitates the expression of complex scientific workflows—thereby enabling scientists to develop high-performance, portable codes [...]