Phil. Trans. R. Soc. A 372, 20130324 (2014)

Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations

F Bisetti, A Attili, and H Pitsch. "Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations​". Phil. Trans. R. Soc. A 372, 20130324 (2014).

F Bisetti, A Attili, H Pitsch
turbulent combustion, soot, direct numerical simulation, intermittency
2014
​Combustion of fossil fuels is likely to continue for the near future due to the growing trends in energy consumption worldwide. The increase in efficiency and the reduction of pollutant emissions from combustion devices are pivotal to achieving meaningful levels of carbon abatement
as part of the ongoing climate change efforts. Computational Fluid Dynamics (CFD) featuring adequate combustion models will play an increasingly important role in the design of more efficient and cleaner industrial burners, internal combustion engines, and combustors for stationary power generation and aircraft propulsion. Today, turbulent combustion modeling is hindered severely by the lack of data that is accurate and sufficiently complete to assess and remedy model deficiencies effectively. In particular, the formation of pollutants is a complex, non-linear, and multi-scale process characterized by the interaction of molecular and turbulent mixing with a multitude of chemical reactions with disparate time scales.
The use of direct numerical simulation (DNS) featuring a state-of-the-art description of the underlying chemistry and physical processes has contributed greatly to combustion model development in recent years. In this paper, the analysis of the intricate evolution of soot formation in turbulent flames demonstrates how DNS databases are used to illuminate relevant physicochemical mechanisms and to identify modeling needs. ​