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ORIGINAL RESEARCH article

Front. Mech. Eng.
Sec. Heat Transfer Mechanisms and Applications
Volume 9 - 2023 | doi: 10.3389/fmech.2023.1240761

Optimization of a 2-step CH4/air reaction mechanism to a CO2enriched environment for high-fidelity combustion simulations

  • 1University of Florence, Italy

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In the gas turbine framework, the adoption of Carbon Capture and Storage (CCS) systems coupled with strategies to improve the exhaust CO2 content is a promising technology to abate the carbon footprint of such machines. However, any departure of the oxidant from the air can compromise the accuracy of the conventional models to represent the combustion process.
In this work, the effect of the CO2 enrichment of the mixture on an atmospheric premixed swirled flame is investigated by means of LES, comparing the numerical predictions with the experimental results. The high-fidelity numerical model features a dedicated global reaction mechanism, derived through an in-house optimization procedure presented here. The chemical scheme is obtained by optimizing a widely-used CH4-air two-step mechanism to improve key flame parameters such as the laminar flame speed and thickness and the resistance of the flame to the stretch with moderate CO2 dilution. The numerical results are analysed in terms of flame shape, heat losses and pressure fluctuations, showing a promising agreement with the experimental measurements and demonstrating the capabilities of the numerical model for CO2-diluted combustion.

Keywords: Exhaust gas recirculation, Artificially Thickened Flame Model, High fidelity simulation, Reaction Mechanism Calibration, large eddy simulation (LES)

Received: 15 Jun 2023; Accepted: 25 Sep 2023.

Copyright: © 2023 Castellani, Nassini and Andreini. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mr. Simone Castellani, University of Florence, Florence, Italy