Reduced Chemical Kinetic Mechanisms for Oxy/Methane Supercritical CO2 Combustor SimulationsSource: Journal of Energy Resources Technology:;2018:;volume 140:;issue 009::page 92202Author:Manikantachari, K. R. V.
,
Vesely, Ladislav
,
Martin, Scott
,
Bobren-Diaz, Jose O.
,
Vasu, Subith
DOI: 10.1115/1.4039746Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Reduced mechanisms are needed for use with computational fluid dynamic codes (CFD) utilized in the design of combustors. Typically, reduced mechanisms are created from a detailed mechanism, which contain numerous species and reactions that are computationally difficult to handle using most CFD codes. Recently, it has been shown that the detailed aramco 2.0 mechanism well predicted the available experimental data at high pressures and in highly CO2 diluted methane mixtures. Here, a 23-species gas-phase mechanism is derived from the detailed aramco 2.0 mechanism by path-flux-analysis method (PFA) by using CHEM-RC. It is identified that the reaction CH4 + HO2 ⇔ CH3 + H2O2 is very crucial in predicting the ignition delay times (IDTs) under current conditions. Further, it is inferred that species C2H3 and CH3OH are very important in predicting IDTs of lean sCO2 methane mixtures. Also, the 23-species mechanism presented in this work is able to perform on par with the detailed aramco 2.0 mechanism in terms of simulating IDTs, perfectly stirred-reactor (PSR) estimates under various CO2 dilutions and equivalence ratios, and prediction of turbulence chemistry interactions. It is observed that the choice of equation of state has no significant impact on the IDTs of supercritical CH4/O2/CO2 mixtures but it influences supercritical H2/O2/CO2 mixtures considered in this work.
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contributor author | Manikantachari, K. R. V. | |
contributor author | Vesely, Ladislav | |
contributor author | Martin, Scott | |
contributor author | Bobren-Diaz, Jose O. | |
contributor author | Vasu, Subith | |
date accessioned | 2019-02-28T10:55:51Z | |
date available | 2019-02-28T10:55:51Z | |
date copyright | 4/26/2018 12:00:00 AM | |
date issued | 2018 | |
identifier issn | 0195-0738 | |
identifier other | jert_140_09_092202.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4250907 | |
description abstract | Reduced mechanisms are needed for use with computational fluid dynamic codes (CFD) utilized in the design of combustors. Typically, reduced mechanisms are created from a detailed mechanism, which contain numerous species and reactions that are computationally difficult to handle using most CFD codes. Recently, it has been shown that the detailed aramco 2.0 mechanism well predicted the available experimental data at high pressures and in highly CO2 diluted methane mixtures. Here, a 23-species gas-phase mechanism is derived from the detailed aramco 2.0 mechanism by path-flux-analysis method (PFA) by using CHEM-RC. It is identified that the reaction CH4 + HO2 ⇔ CH3 + H2O2 is very crucial in predicting the ignition delay times (IDTs) under current conditions. Further, it is inferred that species C2H3 and CH3OH are very important in predicting IDTs of lean sCO2 methane mixtures. Also, the 23-species mechanism presented in this work is able to perform on par with the detailed aramco 2.0 mechanism in terms of simulating IDTs, perfectly stirred-reactor (PSR) estimates under various CO2 dilutions and equivalence ratios, and prediction of turbulence chemistry interactions. It is observed that the choice of equation of state has no significant impact on the IDTs of supercritical CH4/O2/CO2 mixtures but it influences supercritical H2/O2/CO2 mixtures considered in this work. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Reduced Chemical Kinetic Mechanisms for Oxy/Methane Supercritical CO2 Combustor Simulations | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 9 | |
journal title | Journal of Energy Resources Technology | |
identifier doi | 10.1115/1.4039746 | |
journal fristpage | 92202 | |
journal lastpage | 092202-10 | |
tree | Journal of Energy Resources Technology:;2018:;volume 140:;issue 009 | |
contenttype | Fulltext |