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Proposing Institution

TU Darmstadt, Fachgebiet Simulation reaktiver Thermo-Fluid Systeme
Project Manager

Felix Dietzsch
Otto-Berndt-Straße 3
64287 Darmstadt
Abstract
The increasing demand for power and environmental concerns motivates researchactivities in the field of alternative fuels. Such fuels are mostly made frombiomass coal or natural gas. Compared to conventional combustion using air theconversion process mostly takes place in an oxygen enhanced environment. Thishas the advantage of an increased thermal efficiency, increased flame stabilityand reduced NOx emissions. An example for this is the partial oxidation ofhydrocarbons in order to arrive at a hydrogen and carbon monoxide rich syngasmixture. This mixture can then be used for power generation or in the chemicalindustry. The research group "Reacting flow systems" of the IEC-Virtuhcon (TUBergakademie Freiberg) is focusing on the numerical simulation of gasificationand combustion processes in turbulent flow regimes. Although Large-EddySimulations (LES) applying a flamelet tabulation approach (for the chemistry-turbulenceinteraction) are widely accepted and have been successfully used in the past,capturing all transport regimes (mass diffusive transport, turbulent transport,transport due to temperature gradients) occurring in practical flowapplications is still subject to research. Numerical and experimentalinvestigations have shown that for certain jet flame configurations one has todistinguish between regions of equal diffusivities and regions where morecomplex diffusion models, e.g. multi-component transport, should be applied.This is usually called differential diffusion. Moreover, considering the wrongdiffusion model in the upstream region of a jet will have a significantinfluence downstream. A detailed experimental analysis of the differenttransport effects is a difficult undertaking. From a numerical point of viewthe only possible remedy to get detailed data, however, are Direct NumericalSimulations (DNS). In order to investigate the importance of differentialdiffusion for different transport regimes we will conduct DNS at differentReynolds numbers with detailed chemistry. Therefore, we will use our in-houseDNS code Dinosoars.

Impressum, Conny Wendler