MSc Project : Prediction of emissions from combustion systems using zero-dimensional and one-dimensional reacting flow models

This project is a done in collaboration with Dr. Arvind Gangoli Rao and Dr. Abishek Bath from the section Propulsion & Power of the Faculty of Aerospace Engineering

The motivation of the project is the need for fast and reliable estimates of predictions of emissions from combustion systems.

Prediction of emissions from combustion systems is a great challenge as it involves the coupling between the flow field and chemistry to great extent. The current state of research has dealt with this subject in great detail and several models have been proposed with varying degree of accuracy of the results. In most of the cases CFD has been the modeling approach with turbulence models being used for flow turbulence closure and turbulent combustion models being used for closure of reaction source terms. Turbulent combustion models often lead to high computational cost and reduced chemical mechanisms are often used to reduce this cost. The question arises what are inaccuracies in the predictions due to turbulence model on the one hand and the use of reduced chemistry on the other hand.  

The proposed methodology describes the direct coupling between the flow and chemistry using coupled zero-dimensional (0D) and one-dimensional (1D) reacting flow models (“reactors”). In this approach the type of flow field in a local flow domain is assumed known (perfectly mixed, laminar flame etc) and the characteristics of the overall system are obtained by creating a network of the submodels for the local flow domain. The mass and energy flow between the 0D and 1D reactors is obtained from any available information on the flow field (CFD, correlations, experiments). The main advantage of these network models is that it is affordable to use the complete system of reactions, which can vary from 20 to thousands of reactions depending on the fuel.

The objective is to make use and developed 0D and 1D models to calculate the emissions from the system.  The fast estimator can vary lots of parameters available and also perform a sensitivity analysis.

The project has been completed and the results have been reported in the MSc thesis by Benoit Rosati.

Prediction of emissions from combustion systems using 0D and 1D reacting flow models


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