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Emission prediction in conceptual design of the aircraft engines using augmented CRN

Part of: Sustainable Aerospace

Published online by Cambridge University Press:  30 May 2017

Z. Saboohi  and
F. Ommi
Z. Saboohi*
Affiliation:
Department of Mechanical Engineering, Tarbiat Modares University (TMU), Tehran, Iran
F. Ommi*
Affiliation:
Department of Mechanical Engineering, Tarbiat Modares University (TMU), Tehran, Iran
*
[email protected]
[email protected]
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Abstract

The semi-analytical prediction of pollutants emissions from gas turbines in the conceptual design phase is addressed in this paper. The necessity of this work arose from an urgent need for a comprehensive model that can quickly provide data in the conceptual design phase. Based on the available inputs data in the initial phases of the design process, a chemical reactor network (CRN) is defined to model the combustion with a detailed chemistry. In this way, three different chemical mechanisms are studied for Jet-A aviation fuel. Furthermore, the droplet evaporation for liquid fuel and the non-uniformity in fuel-air mixture are modelled. The results of a developed augmented modelling tool are compared with the pollutants data of two annular engine's combustors. The CRN results have good agreement with the actual engine test rig emissions output. In conclusion, the augmented CRN has shown to be efficient in predicting engine emissions with a very short executing time (few seconds) using a small CPU requirement such as a personal computer.

Keywords

Conceptual designcombustorgas turbinechemical reactor networkchemical-kinetic mechanismsCO emissionNOx emission
Type
Research Article
Information
The Aeronautical Journal , Volume 121 , Issue 1241 , July 2017 , pp. 1005 - 1028
Copyright
Copyright © Royal Aeronautical Society 2017 

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