Speciation data for fuel-rich methane oxy-combustion and reforming under prototypical partial oxidation conditions

被引:26
|
作者
Koehler, Markus [1 ]
Osswald, Patrick [1 ]
Xu, Hongbin [2 ]
Kathrotia, Trupti [1 ]
Hasse, Christian [2 ]
Riedel, Uwe [1 ]
机构
[1] German Aerosp Ctr DLR, Inst Combust Technol, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany
[2] Tech Univ Bergakad Freiberg, Chair Numer Thermofluid Dynam, ZIK Virtuhcon, D-09599 Freiberg, Germany
关键词
Gasification; Rich combustion; Partial oxidation; Chemical modeling; Molecular-beam mass spectrometry (MBMS); Flow reactor; BEAM MASS-SPECTROMETRY; NONCATALYTIC PARTIAL OXIDATION; CHEMICAL TIME SCALES; LAMINAR FLAME SPEEDS; NATURAL-GAS; PREMIXED FLAMES; CHEMISTRY; IGNITION; CHROMATOGRAPHY; MECHANISM;
D O I
10.1016/j.ces.2015.09.033
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Non-catalytic partial oxidation (POX) of hydrocarbon fuels is an important process for producing syngas. Quantitative experimental data under the demanding conditions relevant for POX reactions, e.g. long residence times, rich stoichiometries and high temperatures, respectively, are rare in literature. Here, the DLR high-temperature flow reactor setup was used to obtain a unique experimental data set for validation of reaction models and general understanding of fuel-rich hydrocarbon chemistry. A systematic experimental speciation data set for rich methane conditions with relevance to partial oxidation/gasification processes is presented. Both fast oxidation and slow reforming reactions are considered here. Quantitative data is obtained in the DLR high temperature flow reactor setup with coupled molecular beam mass spectrometry (MBMS) detection. Five test case scenarios are investigated, featuring rich methane conditions (phi=2.5) for the temperature range from 1100-1800 K under atmospheric conditions. CO, CO2 and acetylene in two different amounts is added to the system for systematic analysis for addressing phenomena related to partial oxidation. The new experimental database includes quantitative species profiles of major and intermediate species and is available as Supplemental material. The experimental data is compared with results from a 0D modeling approach using the GRI 3.0, USC-II, Chernov and a reduced model based on the full Chernov mechanism. The comparisons reveal significant differences in the model predictions among themselves and with respect to the experimental data, underlining the relevance of this unique data set for further mechanism development and/or optimization. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:249 / 260
页数:12
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