The paper, in its first part, reports synthetically about the latest conceptual and numerical developments implemented into the CRFD (Computational Reactive Fluid Dynamics) parallel/clusterized solver NastComb, discussing in particular its most recently programmed detailed-chemistry mechanism. This scheme adopts a PASR (Partially Stirred Reactor) approach together with an SGI (Sub Grid Interaction) model in order to represent the turbulence-chemistry cross-influences. In the second part, preliminary results are given and discussed of the application of the code to an experimental, gasoil-fueled, LRPM (Liquid-fuel Rapid Pre-Mix) gas-turbine burner, characterized by ultra-low emissions. Comparisons with measured temperature data turn out quite positive, whilst the detailed chemistry provision allows to go deep into the mechanisms of radical and pollutant species formation.

Detailed Chemistry Prediction of Time-Dependent Turbulent-Combustion within a Gasoil-Fueled Rapid-Mix Burner-Combustor System

CARUGGI, MARIO;NILBERTO, ALESSANDRO;PITTALUGA, FERRUCCIO
2005-01-01

Abstract

The paper, in its first part, reports synthetically about the latest conceptual and numerical developments implemented into the CRFD (Computational Reactive Fluid Dynamics) parallel/clusterized solver NastComb, discussing in particular its most recently programmed detailed-chemistry mechanism. This scheme adopts a PASR (Partially Stirred Reactor) approach together with an SGI (Sub Grid Interaction) model in order to represent the turbulence-chemistry cross-influences. In the second part, preliminary results are given and discussed of the application of the code to an experimental, gasoil-fueled, LRPM (Liquid-fuel Rapid Pre-Mix) gas-turbine burner, characterized by ultra-low emissions. Comparisons with measured temperature data turn out quite positive, whilst the detailed chemistry provision allows to go deep into the mechanisms of radical and pollutant species formation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/228491
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