Development and application of advanced tools for computational fluid dynamics
EMSL Project ID
23292
Abstract
Several critical aspects of current strategies to control global climate change require the development and application of novel approaches to advanced computational fluid dynamics. CO2 sequestration in deep aquifers holds promise for disposal of carbon which would otherwise end up in the atmosphere. Better understanding of the complex, two-phase flow through porous media is needed to develop this technology. The Fischer-Tropsch process coupled with carbon capture in coal gasification plants could turn one of the dirtiest and cheapest sources of energy in the US into affordable fuel for transportation. Multi-phase modeling techniques are necessary to develop efficient reactors to make this practical. Clean diesel engines represent a viable short-term strategy to meet the nation's transportation needs while minimizing emission of greenhouse gasses. Advanced simulation tools to examine the complex flow and transport phenomena in exhaust filters and catalytic converters are needed to make these devices more efficient and reliable.Lattice-Boltzmann and lattice-kinetic methods are currently being used to address these challenging technical problems. This approach to computational fluid dynamics allows easy parallelization, which makes it possible to examine fluid dynamic systems which have been too complex for more traditional techniques. Under this proposal, these computational tools would be further developed, tested and applied on mpp2.
Project Details
Project type
Exploratory Research
Start Date
2007-02-27
End Date
2008-03-02
Status
Closed
Released Data Link
Team
Principal Investigator
Team Members
Related Publications
Dillon, H., et al., Optimizing the Advanced Ceramic Material for Diesel Particulate Filter Applications. SAE 2007 World Congress, 2007. 2007-01-1124.
Stewart ML, TR Gallant, DH Kim, GD Maupin, and A Zelenyuk. 2010. Fuel Efficient Diesel Particulate Filter (DPF) Modeling and Development . PNNL-19476, Pacific Northwest National Laboratory, Richland, WA.